From c998d619b113bb4d0b58bd24119461cadb59fefd Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 13 Jul 2016 15:24:36 -0400 Subject: [PATCH 01/51] MAINT: Bump numpy and pandas. --- etc/requirements.txt | 7 ++++--- setup.py | 2 +- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/etc/requirements.txt b/etc/requirements.txt index c34f46b3f0..8b55fd6b0b 100644 --- a/etc/requirements.txt +++ b/etc/requirements.txt @@ -8,13 +8,13 @@ Logbook==0.12.5 # Scientific Libraries -pytz==2015.4 -numpy==1.9.2 +pytz==2016.4 +numpy==1.11.1 # scipy and pandas are required for statsmodels, # statsmodels in turn is required for some pandas packages scipy==0.15.1 -pandas==0.16.1 +pandas==0.18.1 pandas-datareader==0.2.1 # Needed for parts of pandas.stats patsy==0.4.0 @@ -38,6 +38,7 @@ contextlib2==0.4.0 # networkx requires decorator decorator==4.0.0 + # Graph algorithms used by zipline.pipeline networkx==1.9.1 diff --git a/setup.py b/setup.py index 776c8c696a..ab307ff738 100644 --- a/setup.py +++ b/setup.py @@ -148,7 +148,7 @@ def _filter_requirements(lines_iter, filter_names=None, REQ_UPPER_BOUNDS = { 'bcolz': '<1', - 'pandas': '<0.18', + 'pandas': '<0.19', } From 135080db84c47dfacb8fe7e3e9d7fc985e9d7017 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 13 Jul 2016 15:24:57 -0400 Subject: [PATCH 02/51] MAINT: Don't use .loc with integers. --- tests/pipeline/test_pipeline_algo.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/tests/pipeline/test_pipeline_algo.py b/tests/pipeline/test_pipeline_algo.py index e24996833f..751e9161c7 100644 --- a/tests/pipeline/test_pipeline_algo.py +++ b/tests/pipeline/test_pipeline_algo.py @@ -346,7 +346,7 @@ class PipelineAlgorithmTestCase(WithBcolzEquityDailyBarReaderFromCSVs, AAPL = 1 MSFT = 2 BRK_A = 3 - assets = ASSET_FINDER_EQUITY_SIDS = AAPL, MSFT, BRK_A + ASSET_FINDER_EQUITY_SIDS = AAPL, MSFT, BRK_A ASSET_FINDER_EQUITY_SYMBOLS = 'AAPL', 'MSFT', 'BRK_A' START_DATE = Timestamp('2014') END_DATE = Timestamp('2015') @@ -403,6 +403,9 @@ def init_class_fixtures(cls): ) cls.dates = cls.raw_data[cls.AAPL].index.tz_localize('UTC') cls.AAPL_split_date = Timestamp("2014-06-09", tz='UTC') + cls.assets = cls.asset_finder.retrieve_all( + cls.ASSET_FINDER_EQUITY_SIDS + ) def compute_expected_vwaps(self, window_lengths): AAPL, MSFT, BRK_A = self.AAPL, self.MSFT, self.BRK_A @@ -488,7 +491,7 @@ def compute_expected_vwaps(self, window_lengths): (False,), ]) def test_handle_adjustment(self, set_screen): - AAPL, MSFT, BRK_A = assets = self.AAPL, self.MSFT, self.BRK_A + AAPL, MSFT, BRK_A = assets = self.assets window_lengths = [1, 2, 5, 10] vwaps = self.compute_expected_vwaps(window_lengths) From 77146ef489c36f2ad1af63fa7026014afb206dc5 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 13 Jul 2016 16:31:06 -0400 Subject: [PATCH 03/51] MAINT: Explicitly use float64 in test. --- tests/pipeline/test_technical.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/pipeline/test_technical.py b/tests/pipeline/test_technical.py index 505e1f38df..a386f7f3db 100644 --- a/tests/pipeline/test_technical.py +++ b/tests/pipeline/test_technical.py @@ -158,8 +158,8 @@ def test_fso_expected_basic(self): fso = FastStochasticOscillator() today = pd.Timestamp('2015') - assets = np.arange(3, dtype=np.float) - out = np.empty(shape=(3,), dtype=np.float) + assets = np.arange(3, dtype=np.float64) + out = np.empty(shape=(3,), dtype=np.float64) highs = np.full((50, 3), 3) lows = np.full((50, 3), 2) From 36e4f70499826e7d7f40cfafe2738e971ebf2492 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 13 Jul 2016 16:31:59 -0400 Subject: [PATCH 04/51] MAINT: Fix numpy deprecation warnings. --- tests/pipeline/test_technical.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/pipeline/test_technical.py b/tests/pipeline/test_technical.py index a386f7f3db..3535b4e52b 100644 --- a/tests/pipeline/test_technical.py +++ b/tests/pipeline/test_technical.py @@ -161,9 +161,9 @@ def test_fso_expected_basic(self): assets = np.arange(3, dtype=np.float64) out = np.empty(shape=(3,), dtype=np.float64) - highs = np.full((50, 3), 3) - lows = np.full((50, 3), 2) - closes = np.full((50, 3), 4) + highs = np.full((50, 3), 3, dtype=np.float64) + lows = np.full((50, 3), 2, dtype=np.float64) + closes = np.full((50, 3), 4, dtype=np.float64) fso.compute(today, assets, out, closes, lows, highs) From cc11757b9c3cb033927f3c9a86f16d46983ae67d Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 14 Jul 2016 10:12:47 -0400 Subject: [PATCH 05/51] DOC: Remove out of date comment. --- zipline/lib/labelarray.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/zipline/lib/labelarray.py b/zipline/lib/labelarray.py index 68cf7b4b2f..4616b38a94 100644 --- a/zipline/lib/labelarray.py +++ b/zipline/lib/labelarray.py @@ -475,9 +475,6 @@ def view(self, dtype=_NotPassed, type=_NotPassed): ) def __repr__(self): - # This happens if you call a ufunc on a LabelArray that changes the - # dtype. This is generally an indicator that the array has been used - # incorrectly, and it means we're no longer valid for anything. repr_lines = repr(self.as_string_array()).splitlines() repr_lines[0] = repr_lines[0].replace('array(', 'LabelArray(', 1) repr_lines[-1] = repr_lines[-1].rsplit(',', 1)[0] + ')' From 37a2780632f67462d8de4812f8f18f3a6cab65c3 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 14 Jul 2016 10:54:49 -0400 Subject: [PATCH 06/51] DOC: Update LabelArray docstring. --- zipline/lib/labelarray.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/zipline/lib/labelarray.py b/zipline/lib/labelarray.py index 4616b38a94..0cf1e96770 100644 --- a/zipline/lib/labelarray.py +++ b/zipline/lib/labelarray.py @@ -231,8 +231,9 @@ def __array_finalize__(self, obj): In this case, obj will be None. We treat this as an error case and fail. - 2. Someone (most likely our own __new__) calls - other_array.view(type=LabelArray). + 2. Someone (most likely our own __new__) does:: + + >>> other_array.view(type=LabelArray) # doctest: +SKIP In this case, `self` will be the new LabelArray instance, and ``obj` will be the array on which ``view`` is being called. From 930f32f6a16253cdfbd8d32c81135e68e259e7d0 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 14 Jul 2016 10:55:11 -0400 Subject: [PATCH 07/51] ENH: Make INT_DTYPES_BY_SIZE_BYTES ordered. --- zipline/utils/numpy_utils.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/zipline/utils/numpy_utils.py b/zipline/utils/numpy_utils.py index 7a6326cc7a..26d5ab15c4 100644 --- a/zipline/utils/numpy_utils.py +++ b/zipline/utils/numpy_utils.py @@ -1,6 +1,7 @@ """ Utilities for working with numpy arrays. """ +from collections import OrderedDict from datetime import datetime from warnings import ( catch_warnings, @@ -60,12 +61,12 @@ object_dtype: None, } -INT_DTYPES_BY_SIZE_BYTES = { - 1: dtype('int8'), - 2: dtype('int16'), - 4: dtype('int32'), - 8: dtype('int64'), -} +INT_DTYPES_BY_SIZE_BYTES = OrderedDict([ + (1, dtype('int8')), + (2, dtype('int16')), + (4, dtype('int32')), + (8, dtype('int64')), +]) def int_dtype_with_size_in_bytes(size): From f494003c1853af8b50a5d5c703c874f6d1e1e2e9 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 14 Jul 2016 11:27:21 -0400 Subject: [PATCH 08/51] MAINT: Update fetcher for pandas 0.18. - Remove support for usecols=[]. - Use sort_values instead of sort(). - Use errors='coerce' instead of coerce=True. --- tests/test_fetcher.py | 26 ++------------------------ zipline/sources/requests_csv.py | 4 ++-- 2 files changed, 4 insertions(+), 26 deletions(-) diff --git a/tests/test_fetcher.py b/tests/test_fetcher.py index 4b5cc060e0..9733097834 100644 --- a/tests/test_fetcher.py +++ b/tests/test_fetcher.py @@ -297,7 +297,6 @@ def handle_data(context, data): @parameterized.expand([("unspecified", ""), ("none", "usecols=None"), - ("empty", "usecols=[]"), ("without date", "usecols=['Value']"), ("with date", "usecols=('Value', 'Date')")]) def test_usecols(self, testname, usecols): @@ -325,30 +324,9 @@ def initialize(context): context.stocks = [sid(3766), sid(25317)] def handle_data(context, data): - if {should_have_data}: - try: - data.current("urban", "cpi") - except (KeyError, ValueError): - assert False - else: - try: - data.current("urban", "cpi") - except (KeyError, ValueError): - assert True + data.current("urban", "cpi") """ - - results = self.run_algo( - code.format( - usecols=usecols, - should_have_data=testname in [ - 'none', - 'unspecified', - 'without date', - 'with date', - ], - ) - ) - + results = self.run_algo(code.format(usecols=usecols)) # 251 trading days in 2006 self.assertEqual(len(results), 251) diff --git a/zipline/sources/requests_csv.py b/zipline/sources/requests_csv.py index ac35f49ef6..c1ba028b09 100644 --- a/zipline/sources/requests_csv.py +++ b/zipline/sources/requests_csv.py @@ -224,7 +224,7 @@ def parse_date_str_series(format_str, tz, date_str_series, data_frequency, date_str_series.values, format=format_str, utc=True, - coerce=True, + errors='coerce', ) else: parsed = pd.to_datetime( @@ -301,7 +301,7 @@ def load_df(self): df['sid'] = self.symbol elif self.finder: - df.sort(self.symbol_column) + df.sort_values(by=self.symbol_column, inplace=True) # Pop the 'sid' column off of the DataFrame, just in case the user # has assigned it, and throw a warning From ccc31152a5b0361c70c3b5946151d89897998ced Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 14 Jul 2016 15:29:25 -0400 Subject: [PATCH 09/51] MAINT: Use arange instead of rolling_count. It's faster, and rolling_count is deprecated. --- zipline/finance/risk/period.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/zipline/finance/risk/period.py b/zipline/finance/risk/period.py index 37edbbc7d7..796a66107e 100644 --- a/zipline/finance/risk/period.py +++ b/zipline/finance/risk/period.py @@ -19,6 +19,7 @@ from six import iteritems +import numpy as np import pandas as pd from . import risk @@ -95,11 +96,11 @@ def calculate_metrics(self): raise Exception(message) self.num_trading_days = len(self.benchmark_returns) - self.trading_day_counts = pd.stats.moments.rolling_count( - self.algorithm_returns, self.num_trading_days) - self.mean_algorithm_returns = \ - self.algorithm_returns.cumsum() / self.trading_day_counts + self.mean_algorithm_returns = ( + self.algorithm_returns.cumsum() / + np.arange(1, self.num_trading_days + 1, dtype=np.float64) + ) self.benchmark_volatility = annual_volatility(self.benchmark_returns) self.algorithm_volatility = annual_volatility(self.algorithm_returns) From becf897da942079219e475ddbdb77de885ff8be8 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Fri, 15 Jul 2016 12:16:19 -0400 Subject: [PATCH 10/51] MAINT: Fix failures/warnings in test_api_shim.py - Fixes a warning on indexing with a float that ultimately came from pd.Timedelta.total_seconds(). Adds ``timedelta_to_integral_seconds`` and ``timedelta_to_integral_minutes()`` functions and replaces various usages of ``int(delta.total_seconds())`` with them. - Fixes a warnings triggered in ``_create_daily_stats`` from passing tz-aware datetimes to np.datetime64. --- zipline/algorithm.py | 5 ++- zipline/data/_adjustments.pyx | 6 ++- zipline/data/data_portal.py | 80 ++++++++++++++++++++++------------- zipline/testing/core.py | 3 +- zipline/utils/numpy_utils.py | 1 + zipline/utils/pandas_utils.py | 14 ++++++ 6 files changed, 74 insertions(+), 35 deletions(-) diff --git a/zipline/algorithm.py b/zipline/algorithm.py index 3b94ca3c7e..0687808fdd 100644 --- a/zipline/algorithm.py +++ b/zipline/algorithm.py @@ -819,8 +819,9 @@ def _create_daily_stats(self, perfs): else: self.risk_report = perf - daily_dts = [np.datetime64(perf['period_close'], utc=True) - for perf in daily_perfs] + daily_dts = pd.DatetimeIndex( + [p['period_close'] for p in daily_perfs], tz='UTC' + ) daily_stats = pd.DataFrame(daily_perfs, index=daily_dts) return daily_stats diff --git a/zipline/data/_adjustments.pyx b/zipline/data/_adjustments.pyx index c7900385d6..151a518dfc 100644 --- a/zipline/data/_adjustments.pyx +++ b/zipline/data/_adjustments.pyx @@ -33,6 +33,8 @@ from zipline.lib.adjustment import Float64Multiply from zipline.assets.asset_writer import ( SQLITE_MAX_VARIABLE_NUMBER as SQLITE_MAX_IN_STATEMENT, ) +from zipline.utils.pandas_utils import timedelta_to_integral_seconds + _SID_QUERY_TEMPLATE = """ SELECT DISTINCT sid FROM {0} @@ -170,8 +172,8 @@ cpdef load_adjustments_from_sqlite(object adjustments_db, # sqlite3.Connection index. """ - cdef int start_date = int((dates[0] - EPOCH).total_seconds()) - cdef int end_date = int((dates[-1] - EPOCH).total_seconds()) + cdef int start_date = timedelta_to_integral_seconds(dates[0] - EPOCH) + cdef int end_date = timedelta_to_integral_seconds(dates[-1] - EPOCH) cdef set split_sids = _get_split_sids( adjustments_db, diff --git a/zipline/data/data_portal.py b/zipline/data/data_portal.py index a6dcd093ec..5ebccf87a7 100644 --- a/zipline/data/data_portal.py +++ b/zipline/data/data_portal.py @@ -44,6 +44,7 @@ nanstd ) from zipline.utils.memoize import remember_last, weak_lru_cache +from zipline.utils.pandas_utils import timedelta_to_integral_minutes from zipline.errors import ( NoTradeDataAvailableTooEarly, NoTradeDataAvailableTooLate, @@ -1106,44 +1107,63 @@ def get_fetcher_assets(self, dt): else: return [assets] if isinstance(assets, Asset) else [] + # cache size picked somewhat loosely. this code exists purely to + # handle deprecated API. @weak_lru_cache(20) def _get_minute_count_for_transform(self, ending_minute, days_count): - # cache size picked somewhat loosely. this code exists purely to - # handle deprecated API. - - # bars is the number of days desired. we have to translate that - # into the number of minutes we want. - # we get all the minutes for the last (bars - 1) days, then add - # all the minutes so far today. the +2 is to account for ignoring - # today, and the previous day, in doing the math. - session_for_minute = self.trading_calendar.minute_to_session_label( - ending_minute - ) - previous_session = self.trading_calendar.previous_session_label( - session_for_minute + # This function works in three steps. + # Step 1. Count the minutes from ``ending_minute`` to the start of its + # session. + # Step 2. Count the minutes from the prior ``days_count - 1`` sessions. + # Step 3. Return the sum of the results from steps (1) and (2). + + # Example (NYSE Calendar) + # ending_minute = 2016-12-28 9:40 AM US/Eastern + # days_count = 3 + # Step 1. Calculate that there are 10 minutes in the ending session. + # Step 2. Calculate that there are 390 + 210 = 600 minutes in the prior + # two sessions. (Prior sessions are 2015-12-23 and 2015-12-24.) + # 2015-12-24 is a half day. + # Step 3. Return 600 + 10 = 610. + + cal = self.trading_calendar + + ending_session = cal.minute_to_session_label( + ending_minute, + direction="none", # It's an error to pass a non-trading minute. ) - sessions = self.trading_calendar.sessions_in_range( - self.trading_calendar.sessions_window(previous_session, - -days_count + 2)[0], - previous_session, + # Assume that calendar days are always full of contiguous minutes, + # which means we can just take 1 + (number of minutes between the last + # minute and the start of the session). We add one so that we include + # the ending minute in the total. + ending_session_minute_count = timedelta_to_integral_minutes( + ending_minute - cal.open_and_close_for_session(ending_session)[0] + ) + 1 + + if days_count == 1: + # We just need sessions for the active day. + return ending_session_minute_count + + # XXX: We're subtracting 2 here to account for two offsets: + # 1. We only want ``days_count - 1`` sessions, since we've already + # accounted for the ending session above. + # 2. The API of ``sessions_window`` is to return one more session than + # the requested number. I don't think any consumers actually want + # that behavior, but it's the tested and documented behavior right + # now, so we have to request one less session than we actually want. + completed_sessions = cal.sessions_window( + cal.previous_session_label(ending_session), + 2 - days_count, ) - minutes_count = \ + completed_sessions_minute_count = ( self.trading_calendar.minutes_count_for_sessions_in_range( - sessions[0], - sessions[-1] + completed_sessions[0], + completed_sessions[-1] ) - - # add the minutes for today - today_open = self.trading_calendar.open_and_close_for_session( - session_for_minute - )[0] - - minutes_count += \ - ((ending_minute - today_open).total_seconds() // 60) + 1 - - return minutes_count + ) + return ending_session_minute_count + completed_sessions_minute_count def get_simple_transform(self, asset, transform_name, dt, data_frequency, bars=None): diff --git a/zipline/testing/core.py b/zipline/testing/core.py index 7beae45868..6a23d4e9ac 100644 --- a/zipline/testing/core.py +++ b/zipline/testing/core.py @@ -50,6 +50,7 @@ from zipline.utils.calendars import get_calendar from zipline.utils.input_validation import expect_dimensions from zipline.utils.numpy_utils import as_column +from zipline.utils.pandas_utils import timedelta_to_integral_seconds from zipline.utils.sentinel import sentinel import numpy as np @@ -78,7 +79,7 @@ def str_to_seconds(s): >>> str_to_seconds('2014-01-01') 1388534400 """ - return int((pd.Timestamp(s, tz='UTC') - EPOCH).total_seconds()) + return timedelta_to_integral_seconds(pd.Timestamp(s, tz='UTC') - EPOCH) def drain_zipline(test, zipline): diff --git a/zipline/utils/numpy_utils.py b/zipline/utils/numpy_utils.py index 26d5ab15c4..e8e2be52d2 100644 --- a/zipline/utils/numpy_utils.py +++ b/zipline/utils/numpy_utils.py @@ -18,6 +18,7 @@ flatnonzero, hstack, nan, + timedelta64, vectorize, where ) diff --git a/zipline/utils/pandas_utils.py b/zipline/utils/pandas_utils.py index 1f0a9db253..3e58230a0b 100644 --- a/zipline/utils/pandas_utils.py +++ b/zipline/utils/pandas_utils.py @@ -146,3 +146,17 @@ def nearest_unequal_elements(dts, dt): upper_value = dts[upper_ix] if upper_ix < len(dts) else None return lower_value, upper_value + + +def timedelta_to_integral_seconds(delta): + """ + Convert a pd.Timedelta to a number of seconds as an int. + """ + return int(delta.total_seconds()) + + +def timedelta_to_integral_minutes(delta): + """ + Convert a pd.Timedelta to a number of minutes as an int. + """ + return timedelta_to_integral_seconds(delta) // 60 From b1883817478c7db5cbcdb47c81b158c43bf8ca33 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Fri, 15 Jul 2016 13:02:44 -0400 Subject: [PATCH 11/51] MAINT: Pass explicit dtype to np.full. --- tests/test_algorithm.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tests/test_algorithm.py b/tests/test_algorithm.py index 8ec6a0f8bc..ed6aa67757 100644 --- a/tests/test_algorithm.py +++ b/tests/test_algorithm.py @@ -3485,11 +3485,11 @@ def make_equity_minute_bar_data(cls): def make_equity_daily_bar_data(cls): yield 1, pd.DataFrame( { - 'open': np.full(3, 1), - 'high': np.full(3, 1), - 'low': np.full(3, 1), - 'close': np.full(3, 1), - 'volume': np.full(3, 1), + 'open': np.full(3, 1, dtype=np.float64), + 'high': np.full(3, 1, dtype=np.float64), + 'low': np.full(3, 1, dtype=np.float64), + 'close': np.full(3, 1, dtype=np.float64), + 'volume': np.full(3, 1, dtype=np.float64), }, index=cls.sim_params.sessions, ) From 2772975e2d05902c76cf077198bbf72c39b890c4 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Mon, 18 Jul 2016 12:33:10 -0400 Subject: [PATCH 12/51] MAINT: Use float in np.full. --- tests/data/test_minute_bars.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/data/test_minute_bars.py b/tests/data/test_minute_bars.py index 426a42c07c..8418b04d55 100644 --- a/tests/data/test_minute_bars.py +++ b/tests/data/test_minute_bars.py @@ -590,7 +590,7 @@ def test_nans(self): 'high': full(9, nan), 'low': full(9, nan), 'close': full(9, nan), - 'volume': full(9, 0), + 'volume': full(9, 0.0), }, index=[minutes]) self.writer.write_sid(sid, data) From 40ef039e46addcce470be264bd3d88fb98b78863 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Mon, 18 Jul 2016 12:33:23 -0400 Subject: [PATCH 13/51] TEST/MAINT: Silence no_checkpoints warning. --- tests/pipeline/test_blaze.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/pipeline/test_blaze.py b/tests/pipeline/test_blaze.py index 09ae7bce45..4e71769412 100644 --- a/tests/pipeline/test_blaze.py +++ b/tests/pipeline/test_blaze.py @@ -784,6 +784,7 @@ def _test_id_macro(self, df, dshape, expected, finder, add): expr, loader=loader, no_deltas_rule='ignore', + no_checkpoints_rule='ignore', missing_values=self.missing_values, ) From 989d21514c656bc035eb5aee969e85de275c0071 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Mon, 18 Jul 2016 12:33:50 -0400 Subject: [PATCH 14/51] MAINT: Pass float to np.full explicitly. --- tests/pipeline/test_technical.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/pipeline/test_technical.py b/tests/pipeline/test_technical.py index 3535b4e52b..b93131bbe0 100644 --- a/tests/pipeline/test_technical.py +++ b/tests/pipeline/test_technical.py @@ -168,7 +168,7 @@ def test_fso_expected_basic(self): fso.compute(today, assets, out, closes, lows, highs) # Expected %K - assert_equal(out, np.full((3,), 200)) + assert_equal(out, np.full((3,), 200, dtype=np.float64)) @parameter_space(seed=range(5)) def test_fso_expected_with_talib(self, seed): From 7fbde3227c0c1b4ed1e6fbec952cb6253fece6f8 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Mon, 18 Jul 2016 12:34:36 -0400 Subject: [PATCH 15/51] MAINT/TEST: Clarify test_events. - Refer to ``sessions`` instead of periods. - Use ``toolz.concat`` instead of an O(N ** 2) sequence of appends. --- tests/events/test_events.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/events/test_events.py b/tests/events/test_events.py index e7c6ca8eec..40bf0c2f07 100644 --- a/tests/events/test_events.py +++ b/tests/events/test_events.py @@ -21,6 +21,7 @@ import pandas as pd from six import iteritems from six.moves import range, map +from toolz import concat import zipline.utils.events from zipline.utils.calendars import get_calendar From 750b410a48534a1e77a258e3d6d1feaf9b5b9b8e Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Mon, 18 Jul 2016 12:35:52 -0400 Subject: [PATCH 16/51] BUG: Use arrays for week/month group calculations. In pandas 0.18, the behavior of ``nth()`` changed so that Grouper no longer can be easily used to recover group labels. Instead of using the built-in grouper behavior, we use a groupby on two arrays we build ourselves. This recovers the original behavior, and is about 2x faster as a bonus. --- zipline/utils/events.py | 39 ++++++++++++++++++++++++--------------- 1 file changed, 24 insertions(+), 15 deletions(-) diff --git a/zipline/utils/events.py b/zipline/utils/events.py index b54956738e..cbdfda542b 100644 --- a/zipline/utils/events.py +++ b/zipline/utils/events.py @@ -17,6 +17,7 @@ import six import datetime +import numpy as np import pandas as pd import pytz @@ -407,17 +408,21 @@ def __init__(self, n, invert): self.td_delta = (-n - 1) if invert else n - @lazyval - def execution_periods(self): - # calculate the list of periods that match the given criteria - return self.cal.schedule.groupby( - pd.Grouper(freq="W") - ).nth(int(self.td_delta)).index - def should_trigger(self, dt): # is this market minute's period in the list of execution periods? - return self.cal.minute_to_session_label(dt) in \ - self.execution_periods + val = self.cal.minute_to_session_label(dt, direction="none").value + return val in self.execution_period_values + + @lazyval + def execution_period_values(self): + # calculate the list of periods that match the given criteria + sessions = self.cal.all_sessions + return set( + pd.Series(data=sessions) + .groupby([sessions.year, sessions.weekofyear]) + .nth(self.td_delta) + .astype(np.int64) + ) class NthTradingDayOfWeek(TradingDayOfWeekRule): @@ -448,15 +453,19 @@ def __init__(self, n, invert): def should_trigger(self, dt): # is this market minute's period in the list of execution periods? - return self.cal.minute_to_session_label(dt) in \ - self.execution_periods + value = self.cal.minute_to_session_label(dt, direction="none").value + return value in self.execution_period_values @lazyval - def execution_periods(self): + def execution_period_values(self): # calculate the list of periods that match the given criteria - return self.cal.schedule.groupby( - pd.Grouper(freq="M") - ).nth(int(self.td_delta)).index + sessions = self.cal.all_sessions + return set( + pd.Series(data=sessions) + .groupby([sessions.year, sessions.month]) + .nth(self.td_delta) + .astype(np.int64) + ) class NthTradingDayOfMonth(TradingDayOfMonthRule): From d265abbbf145d2adf66d283c5a4e879427253fae Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Mon, 18 Jul 2016 12:50:05 -0400 Subject: [PATCH 17/51] MAINT: Use dataframe.iteritems instead of iterkv. iterkv is deprecated. --- tests/pipeline/test_events.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/pipeline/test_events.py b/tests/pipeline/test_events.py index 3b4831ae5d..0e3b21f656 100644 --- a/tests/pipeline/test_events.py +++ b/tests/pipeline/test_events.py @@ -354,7 +354,7 @@ def check_previous_value_results(self, column, results): # from pandas won't be tz_localized. dates = self.trading_days.tz_localize(None) - for asset, asset_result in results.iterkv(): + for asset, asset_result in results.iteritems(): relevant_events = events[events.sid == asset.sid] self.assertEqual(len(relevant_events), 2) @@ -397,7 +397,7 @@ def check_next_value_results(self, column, results): # Remove timezone info from trading days, since the outputs # from pandas won't be tz_localized. dates = self.trading_days.tz_localize(None) - for asset, asset_result in results.iterkv(): + for asset, asset_result in results.iteritems(): relevant_events = events[events.sid == asset.sid] self.assertEqual(len(relevant_events), 2) From 874d2b51f164be3facfd6c92cbd914a8fe53a53d Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Tue, 19 Jul 2016 09:40:18 -0400 Subject: [PATCH 18/51] MAINT: Pass float explicitly to numpy. --- zipline/testing/core.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/zipline/testing/core.py b/zipline/testing/core.py index 6a23d4e9ac..3517a2e3ca 100644 --- a/zipline/testing/core.py +++ b/zipline/testing/core.py @@ -710,7 +710,7 @@ def get_history_window(self, assets, end_dt, bar_count, frequency, field, ] df = pd.DataFrame( - np.full((bar_count, len(assets)), 100), + np.full((bar_count, len(assets)), 100.0), index=days, columns=assets ) From b5fd0cdbfa82b420047dd0b9fdeba2b548189ffd Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Tue, 19 Jul 2016 09:41:56 -0400 Subject: [PATCH 19/51] MAINT: Use sort_values() instead of sort(). pd.DataFrame.sort() is deprecated. --- tests/pipeline/test_events.py | 2 +- zipline/pipeline/loaders/events.py | 6 ++++-- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/tests/pipeline/test_events.py b/tests/pipeline/test_events.py index 0e3b21f656..c10b15c528 100644 --- a/tests/pipeline/test_events.py +++ b/tests/pipeline/test_events.py @@ -153,7 +153,7 @@ class EventIndexerTestCase(ZiplineTestCase): @classmethod def init_class_fixtures(cls): super(EventIndexerTestCase, cls).init_class_fixtures() - cls.events = make_events(add_nulls=False).sort('event_date') + cls.events = make_events(add_nulls=False).sort_values('event_date') cls.events.reset_index(inplace=True) def test_previous_event_indexer(self): diff --git a/zipline/pipeline/loaders/events.py b/zipline/pipeline/loaders/events.py index f757248e92..645143d814 100644 --- a/zipline/pipeline/loaders/events.py +++ b/zipline/pipeline/loaders/events.py @@ -109,10 +109,12 @@ def __init__(self, events = events[events[EVENT_DATE_FIELD_NAME].notnull()] # We always work with entries from ``events`` directly as numpy arrays, - # so we coerce from a frame here. + # so we coerce from a frame to a dict of arrays here. self.events = { name: np.asarray(series) - for name, series in events.sort(EVENT_DATE_FIELD_NAME).iteritems() + for name, series in ( + events.sort_values(EVENT_DATE_FIELD_NAME).iteritems() + ) } # Columns to load with self.load_next_events. From 9c82960876b23539ff680372dca63060c0e9cc3c Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Tue, 19 Jul 2016 11:11:31 -0400 Subject: [PATCH 20/51] MAINT: Use sort_values instead of sort(). Sort is deprecated. --- zipline/data/bundles/quandl.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/zipline/data/bundles/quandl.py b/zipline/data/bundles/quandl.py index d13bb36bdb..d946e6cc0a 100644 --- a/zipline/data/bundles/quandl.py +++ b/zipline/data/bundles/quandl.py @@ -119,7 +119,7 @@ def item_show_func(_, _it=iter(count())): 'name': 'asset_name', 'oldest_available_date': 'start_date', 'newest_available_date': 'end_date', - }).sort('symbol') + }).sort_values('symbol') data = data[~data.symbol.isin(excluded_symbols)] # cut out all the other stuff in the name column From 758ed0fffabcc2d9934c4b83475ecce108155b9b Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 20 Jul 2016 18:14:03 -0400 Subject: [PATCH 21/51] MAINT: Pass float explicitly. --- tests/data/test_minute_bars.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/data/test_minute_bars.py b/tests/data/test_minute_bars.py index 8418b04d55..a61308a912 100644 --- a/tests/data/test_minute_bars.py +++ b/tests/data/test_minute_bars.py @@ -633,7 +633,7 @@ def test_differing_nans(self): view(float64), 'close': ((0b11111111111 << 52) + arange(31, 40, dtype=int64)). view(float64), - 'volume': full(9, 0), + 'volume': full(9, 0.0), }, index=[minutes]) self.writer.write_sid(sid, data) From 599d6c59efeeda0bd1842b30520b56931a5b0a88 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 20 Jul 2016 18:29:51 -0400 Subject: [PATCH 22/51] MAINT: Fix warnings from numpy on NaT comparison. --- zipline/lib/rank.pyx | 11 +---------- zipline/testing/core.py | 14 +++++++++++++- zipline/utils/numpy_utils.py | 28 +++++++++++++++++++++++++--- 3 files changed, 39 insertions(+), 14 deletions(-) diff --git a/zipline/lib/rank.pyx b/zipline/lib/rank.pyx index a23fa23146..022b39b803 100644 --- a/zipline/lib/rank.pyx +++ b/zipline/lib/rank.pyx @@ -18,7 +18,7 @@ from numpy import apply_along_axis, float64, isnan, nan from scipy.stats import rankdata from zipline.utils.numpy_utils import ( - is_float, + is_missing, float64_dtype, int64_dtype, datetime64ns_dtype, @@ -28,15 +28,6 @@ from zipline.utils.numpy_utils import ( import_array() -cpdef is_missing(ndarray data, object missing_value): - """ - Generic is_missing function that handles quirks with NaN. - """ - if is_float(data) and isnan(missing_value): - return isnan(data) - return (data == missing_value) - - def rankdata_1d_descending(ndarray data, str method): """ 1D descending version of scipy.stats.rankdata. diff --git a/zipline/testing/core.py b/zipline/testing/core.py index 3517a2e3ca..f9832767d2 100644 --- a/zipline/testing/core.py +++ b/zipline/testing/core.py @@ -49,7 +49,7 @@ from zipline.utils import security_list from zipline.utils.calendars import get_calendar from zipline.utils.input_validation import expect_dimensions -from zipline.utils.numpy_utils import as_column +from zipline.utils.numpy_utils import as_column, isnat from zipline.utils.pandas_utils import timedelta_to_integral_seconds from zipline.utils.sentinel import sentinel @@ -394,6 +394,18 @@ def check_arrays(x, y, err_msg='', verbose=True, check_dtypes=True): # ...then check the actual values as well. x = x.as_string_array() y = y.as_string_array() + elif x.dtype.kind in 'mM': + x_isnat = isnat(x) + y_isnat = isnat(y) + assert_array_equal( + x_isnat, + y_isnat, + err_msg="NaTs not equal", + verbose=verbose, + ) + # Fill NaTs with zero for comparison. + x = np.where(x_isnat, np.zeros_like(x), x) + y = np.where(x_isnat, np.zeros_like(x), x) return assert_array_equal(x, y, err_msg=err_msg, verbose=verbose) diff --git a/zipline/utils/numpy_utils.py b/zipline/utils/numpy_utils.py index e8e2be52d2..77371da674 100644 --- a/zipline/utils/numpy_utils.py +++ b/zipline/utils/numpy_utils.py @@ -17,8 +17,8 @@ empty, flatnonzero, hstack, + isnan, nan, - timedelta64, vectorize, where ) @@ -287,6 +287,28 @@ def rolling_window(array, length): # Sentinel value that isn't NaT. _notNaT = make_datetime64D(0) +iNaT = NaTns.view(int64_dtype) +assert iNaT == NaTD.view(int64_dtype), "iNaTns != iNaTD" + + +def isnat(obj): + """ + Check if a value is np.NaT. + """ + if obj.dtype.kind not in ('m', 'M'): + raise ValueError("%s is not a numpy datetime or timedelta") + return obj.view(int64_dtype) == iNaT + + +def is_missing(data, missing_value): + """ + Generic is_missing function that handles NaN and NaT. + """ + if is_float(data) and isnan(missing_value): + return isnan(data) + elif is_datetime(data) and isnat(missing_value): + return isnat(data) + return (data == missing_value) def busday_count_mask_NaT(begindates, enddates, out=None): @@ -304,8 +326,8 @@ def busday_count_mask_NaT(begindates, enddates, out=None): if out is None: out = empty(broadcast(begindates, enddates).shape, dtype=float) - beginmask = (begindates == NaTD) - endmask = (enddates == NaTD) + beginmask = isnat(begindates) + endmask = isnat(enddates) out = busday_count( # Temporarily fill in non-NaT values. From 0c550dc5928155005057d7f356a1add956b5682d Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 20 Jul 2016 18:32:06 -0400 Subject: [PATCH 23/51] MAINT: Fix warnings from numpy labelarray methods. --- tests/test_labelarray.py | 44 ++++++++++++++++++++++++++-------------- 1 file changed, 29 insertions(+), 15 deletions(-) diff --git a/tests/test_labelarray.py b/tests/test_labelarray.py index f3c98322a7..64004fe944 100644 --- a/tests/test_labelarray.py +++ b/tests/test_labelarray.py @@ -1,6 +1,7 @@ from itertools import product from operator import eq, ne import numpy as np +import warnings from zipline.lib.labelarray import LabelArray from zipline.testing import check_arrays, parameter_space, ZiplineTestCase @@ -234,22 +235,35 @@ def test_reject_ufuncs(self): l = LabelArray(self.strs, '') ints = np.arange(len(l)) - for func in all_ufuncs(): - # Different ufuncs vary between returning NotImplemented and - # raising a TypeError when provided with unknown dtypes. - # This is a bit unfortunate, but still better than silently - # accepting an int array. - try: - if func.nin == 1: - ret = func(l) - elif func.nin == 2: - ret = func(l, ints) + with warnings.catch_warnings(): + # Some ufuncs return NotImplemented, but warn that they will fail + # in the future. Both outcomes are fine, so ignore the warnings. + warnings.filterwarnings( + 'ignore', + message="unorderable dtypes.*", + category=DeprecationWarning, + ) + warnings.filterwarnings( + 'ignore', + message="elementwise comparison failed.*", + category=FutureWarning, + ) + for func in all_ufuncs(): + # Different ufuncs vary between returning NotImplemented and + # raising a TypeError when provided with unknown dtypes. + # This is a bit unfortunate, but still better than silently + # accepting an int array. + try: + if func.nin == 1: + ret = func(l) + elif func.nin == 2: + ret = func(l, ints) + else: + self.fail("Who added a ternary ufunc !?!") + except TypeError: + pass else: - self.fail("Who added a ternary ufunc !?!") - except TypeError: - pass - else: - self.assertIs(ret, NotImplemented) + self.assertIs(ret, NotImplemented) @parameter_space( __fail_fast=True, From 0ace6f7b8f6b5bc4d8d609103c74ed60ddaf0170 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 20 Jul 2016 19:57:24 -0400 Subject: [PATCH 24/51] MAINT: Don't use convert_objects(). It's not necessary, and it's deprecated. --- zipline/assets/synthetic.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/zipline/assets/synthetic.py b/zipline/assets/synthetic.py index 3e594b2e69..948dd98197 100644 --- a/zipline/assets/synthetic.py +++ b/zipline/assets/synthetic.py @@ -224,7 +224,7 @@ def make_future_info(first_sid, 'exchange': "TEST", 'exchange_full': 'TEST FULL', }) - return pd.DataFrame.from_records(contracts, index='sid').convert_objects() + return pd.DataFrame.from_records(contracts, index='sid') def make_commodity_future_info(first_sid, From a39a6e1bbffc1919c3c582df73bd9a1560dc9b01 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 20 Jul 2016 19:57:47 -0400 Subject: [PATCH 25/51] MAINT: Pass float to np.full explicitly. --- tests/test_algorithm.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_algorithm.py b/tests/test_algorithm.py index ed6aa67757..4bb8647c5a 100644 --- a/tests/test_algorithm.py +++ b/tests/test_algorithm.py @@ -3476,7 +3476,7 @@ def make_equity_minute_bar_data(cls): 'high': minutes_arr + 2, 'low': minutes_arr - 1, 'close': minutes_arr, - 'volume': np.full(minutes_count, 1), + 'volume': np.full(minutes_count, 1.0), }, index=asset_minutes, ) From ca54721058afbfce8cf25713446f6c88624b7bf0 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 20 Jul 2016 20:03:35 -0400 Subject: [PATCH 26/51] MAINT: Pandas compat for rolling_*. --- tests/pipeline/test_engine.py | 36 ++++++++++----- zipline/utils/pandas_utils.py | 82 +++++++++++++++++++++++++++++++++++ 2 files changed, 107 insertions(+), 11 deletions(-) diff --git a/tests/pipeline/test_engine.py b/tests/pipeline/test_engine.py index e656cbae8e..335cda4429 100644 --- a/tests/pipeline/test_engine.py +++ b/tests/pipeline/test_engine.py @@ -25,12 +25,8 @@ Categorical, DataFrame, date_range, - ewma, - ewmstd, Int64Index, MultiIndex, - rolling_apply, - rolling_mean, Series, Timestamp, ) @@ -84,6 +80,12 @@ ) from zipline.utils.memoize import lazyval from zipline.utils.numpy_utils import bool_dtype, datetime64ns_dtype +from zipline.utils.pandas_utils import ( + ewma, + ewmstd, + rolling_apply, + rolling_mean, +) class RollingSumDifference(CustomFactor): @@ -1009,14 +1011,16 @@ def test_SMA(self): # computed results to be computed using values anchored on the # **previous** day's data. expected_raw = rolling_mean( - expected_bar_values_2d( - dates - self.trading_calendar.day, - self.equity_info, - 'close', + DataFrame( + expected_bar_values_2d( + dates - self.trading_calendar.day, + self.equity_info, + 'close', + ), ), window_length, min_periods=1, - ) + ).values expected = DataFrame( # Truncate off the extra rows needed to compute the SMAs. @@ -1122,19 +1126,29 @@ def init_class_fixtures(cls): def expected_ewma(self, window_length, decay_rate): alpha = 1 - decay_rate span = (2 / alpha) - 1 + + # XXX: This is a comically inefficient way to compute a windowed EWMA. + # Don't use it outside of testing. We're using rolling-apply of an + # ewma (which is itself a rolling-window function) because we only want + # to look at ``window_length`` rows at a time. return rolling_apply( self.raw_data, window_length, - lambda window: ewma(window, span=span)[-1], + lambda window: ewma(DataFrame(window), span=span).values[-1], )[window_length:] def expected_ewmstd(self, window_length, decay_rate): alpha = 1 - decay_rate span = (2 / alpha) - 1 + + # XXX: This is a comically inefficient way to compute a windowed EWMSTD. + # Don't use it outside of testing. We're using rolling-apply of an + # ewma (which is itself a rolling-window function) because we only want + # to look at ``window_length`` rows at a time. return rolling_apply( self.raw_data, window_length, - lambda window: ewmstd(window, span=span)[-1], + lambda window: ewmstd(DataFrame(window), span=span).values[-1], )[window_length:] @parameterized.expand([ diff --git a/zipline/utils/pandas_utils.py b/zipline/utils/pandas_utils.py index 3e58230a0b..a38b437ae9 100644 --- a/zipline/utils/pandas_utils.py +++ b/zipline/utils/pandas_utils.py @@ -160,3 +160,85 @@ def timedelta_to_integral_minutes(delta): Convert a pd.Timedelta to a number of minutes as an int. """ return timedelta_to_integral_seconds(delta) // 60 + + +# Remove when we drop support for 0.17 +if pandas_version >= StrictVersion('0.18'): + def rolling_mean(arg, + window, + min_periods=None, + freq=None, + center=False, + **kwargs): + return arg.rolling( + window, + min_periods=min_periods, + freq=freq, + center=center, + **kwargs + ).mean() + + def rolling_apply(arg, + window, + func, + min_periods=None, + freq=None, + center=False, + **kwargs): + return arg.rolling( + window, + min_periods=min_periods, + freq=freq, + center=center, + **kwargs + ).apply(func) + + def ewma(arg, + com=None, + span=None, + halflife=None, + alpha=None, + min_periods=0, + freq=None, + adjust=True, + how=None, + ignore_na=False): + + return arg.ewm( + com=com, + span=span, + halflife=halflife, + alpha=alpha, + min_periods=min_periods, + freq=freq, + adjust=adjust, + ignore_na=ignore_na, + ).mean() + + def ewmstd(arg, + com=None, + span=None, + halflife=None, + alpha=None, + min_periods=0, + freq=None, + adjust=True, + how=None, + ignore_na=False): + + return arg.ewm( + com=com, + span=span, + halflife=halflife, + alpha=alpha, + min_periods=min_periods, + freq=freq, + adjust=adjust, + ignore_na=ignore_na, + ).std() + +else: + rolling_mean = pd.rolling_mean + rolling_apply = pd.rolling_apply + ewma = pd.ewma + ewmstd = pd.ewmstd From 16f4944232047df24b1ba8616be73054dfa5be05 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 20 Jul 2016 20:26:38 -0400 Subject: [PATCH 27/51] MAINT: Remove support for custom string Column missing values. Pandas 0.18 deprecated passing "null-ish" values to pd.categorical. The expectation, instead, is that you use categorical's native support for missing data, which means the user will always get NaN's for missing entries of the categorical. A follow-up to this change should probably drop support for custom missing values entirely and to use LabelArray/categorical for integer data. --- tests/pipeline/test_classifier.py | 21 ++++++++++----------- tests/pipeline/test_events.py | 21 ++++++++++----------- tests/pipeline/test_term.py | 2 +- zipline/lib/labelarray.py | 25 +++++++++++++++++++++---- zipline/pipeline/data/testing.py | 4 ---- zipline/pipeline/term.py | 11 ++++------- 6 files changed, 46 insertions(+), 38 deletions(-) diff --git a/tests/pipeline/test_classifier.py b/tests/pipeline/test_classifier.py index aba522259b..625ed4a5dd 100644 --- a/tests/pipeline/test_classifier.py +++ b/tests/pipeline/test_classifier.py @@ -51,7 +51,7 @@ class C(Classifier): mask=self.build_mask(self.ones_mask(shape=data.shape)), ) - @parameter_space(mv=['0', None]) + @parameter_space(mv=[None]) def test_string_isnull(self, mv): class C(Classifier): @@ -126,7 +126,7 @@ def test_string_eq(self, compval, labelarray_dtype): class C(Classifier): dtype = categorical_dtype - missing_value = '' + missing_value = None inputs = () window_length = 0 @@ -162,7 +162,7 @@ class C(Classifier): ) def test_disallow_comparison_to_missing_value(self, missing, dtype_): if dtype_ == categorical_dtype: - missing = str(missing) + missing = None class C(Classifier): dtype = dtype_ @@ -224,7 +224,7 @@ def test_string_not_equal(self, compval, missing, labelarray_dtype): class C(Classifier): dtype = categorical_dtype - missing_value = missing + missing_value = None inputs = () window_length = 0 @@ -245,7 +245,7 @@ class C(Classifier): expected = ( (data.as_int_array() != data.reverse_categories.get(compval, -1)) & - (data.as_int_array() != data.reverse_categories[C.missing_value]) + (data.as_int_array() != data.reverse_categories[missing]) ) self.check_terms( @@ -271,7 +271,6 @@ def test_string_elementwise_predicates(self, labelarray_dtype): if labelarray_dtype == bytes_dtype: compval = compval.encode('utf-8') - missing = missing.encode('utf-8') startswith_re = b'^' + compval + b'.*' endswith_re = b'.*' + compval + b'$' @@ -283,7 +282,7 @@ def test_string_elementwise_predicates(self, class C(Classifier): dtype = categorical_dtype - missing_value = missing + missing_value = None inputs = () window_length = 0 @@ -338,7 +337,7 @@ def test_element_of_strings(self, container_type, labelarray_dtype): class C(Classifier): dtype = categorical_dtype - missing_value = missing + missing_value = None inputs = () window_length = 0 @@ -418,7 +417,7 @@ def test_element_of_rejects_missing_value(self): Test that element_of raises a useful error if we attempt to pass it an array of choices that include the classifier's missing_value. """ - missing = "not in the array" + missing = None class C(Classifier): dtype = categorical_dtype @@ -433,7 +432,7 @@ class C(Classifier): c.element_of(bad_elems) errmsg = str(e.exception) expected = ( - "Found self.missing_value ('not in the array') in choices" + "Found self.missing_value (None) in choices" " supplied to C.element_of().\n" "Missing values have NaN semantics, so the requested" " comparison would always produce False.\n" @@ -447,7 +446,7 @@ def test_element_of_rejects_unhashable_type(self, dtype_): class C(Classifier): dtype = dtype_ - missing_value = dtype.type('1') + missing_value = None if dtype_ is categorical_dtype else -1 inputs = () window_length = 0 diff --git a/tests/pipeline/test_events.py b/tests/pipeline/test_events.py index c10b15c528..80cdbb5bc3 100644 --- a/tests/pipeline/test_events.py +++ b/tests/pipeline/test_events.py @@ -55,15 +55,6 @@ class EventDataSet(DataSet): previous_string = Column(dtype=categorical_dtype, missing_value=None) next_string = Column(dtype=categorical_dtype, missing_value=None) - previous_string_custom_missing = Column( - dtype=categorical_dtype, - missing_value=u"<>", - ) - next_string_custom_missing = Column( - dtype=categorical_dtype, - missing_value=u"<>", - ) - critical_dates = pd.to_datetime([ '2014-01-05', @@ -289,7 +280,6 @@ def init_class_fixtures(cls): EventDataSet.next_float: 'float', EventDataSet.next_int: 'int', EventDataSet.next_string: 'string', - EventDataSet.next_string_custom_missing: 'string' } cls.previous_value_columns = { EventDataSet.previous_datetime: 'datetime', @@ -297,7 +287,6 @@ def init_class_fixtures(cls): EventDataSet.previous_float: 'float', EventDataSet.previous_int: 'int', EventDataSet.previous_string: 'string', - EventDataSet.previous_string_custom_missing: 'string' } cls.loader = cls.make_loader( events=cls.raw_events, @@ -377,6 +366,11 @@ def check_previous_value_results(self, column, results): # If we've seen event 1 but not event 2, event 1 should # win. self.assertEqual(computed_value, v1) + elif column.dtype == categorical_dtype: + # XXX: The value in the output from pandas will be np.nan, + # but we currently only support None as the missing + # value for string columns. + self.assertTrue(np.isnan(computed_value)) else: # If we haven't seen either event, then we should have # column.missing_value. @@ -414,6 +408,11 @@ def check_next_value_results(self, column, results): # If we've seen event 1 but not event 2, event 1 should # win. self.assertEqual(computed_value, v2) + elif column.dtype == categorical_dtype: + # XXX: The value in the output from pandas will be np.nan, + # but we currently only support None as the missing + # value for string columns. + self.assertTrue(np.isnan(computed_value)) else: # If we haven't seen either event, then we should have # column.missing_value. diff --git a/tests/pipeline/test_term.py b/tests/pipeline/test_term.py index c58dd4e068..89d9368c42 100644 --- a/tests/pipeline/test_term.py +++ b/tests/pipeline/test_term.py @@ -742,7 +742,7 @@ class SomeClassifier(CustomClassifier): window_length = 5 inputs = [SomeDataSet.foo, SomeDataSet.bar] outputs = outputs_ - missing_value = dtype_.type('123') + missing_value = None if dtype_ is categorical_dtype else -1 expected_error = ( "SomeClassifier does not support custom outputs, " diff --git a/zipline/lib/labelarray.py b/zipline/lib/labelarray.py index 0cf1e96770..92f40175ca 100644 --- a/zipline/lib/labelarray.py +++ b/zipline/lib/labelarray.py @@ -284,11 +284,28 @@ def as_categorical(self, name=None): """ if len(self.shape) > 1: raise ValueError("Can't convert a 2D array to a categorical.") + + missing_code = self.reverse_categories[self.missing_value] + raw_codes = self.as_int_array() + # As of pandas 0.18, putting null values in pandas categoricals is + # deprecated. The preferred representation is to pass -1 as the code + # for missing values. + if missing_code == 0: + # This is just a performance optimization. It should produce the + # same results as below. + codes = raw_codes - 1 + categories = self.categories[1:] + else: + # subtract 1 for anything greater than the missing code, and set + # the missing code to -1. + codes = raw_codes.copy() + codes[codes > missing_code] -= 1 + codes[codes == missing_code] = -1 + categories = self.categories[self.categories != self.missing_value] + return pd.Categorical.from_codes( - self.as_int_array(), - # We need to make a copy because pandas >= 0.17 fails if this - # buffer isn't writeable. - self.categories.copy(), + codes, + categories, ordered=False, name=name, ) diff --git a/zipline/pipeline/data/testing.py b/zipline/pipeline/data/testing.py index 5287368538..0359390d2a 100644 --- a/zipline/pipeline/data/testing.py +++ b/zipline/pipeline/data/testing.py @@ -32,7 +32,3 @@ class TestingDataSet(DataSet): dtype=categorical_dtype, missing_value=None, ) - categorical_default_NULL_string = Column( - dtype=categorical_dtype, - missing_value=u'<>', - ) diff --git a/zipline/pipeline/term.py b/zipline/pipeline/term.py index 6cecd1475e..f7e4a35e47 100644 --- a/zipline/pipeline/term.py +++ b/zipline/pipeline/term.py @@ -28,7 +28,6 @@ WindowLengthNotSpecified, ) from zipline.lib.adjusted_array import can_represent_dtype -from zipline.lib.labelarray import LabelArray from zipline.utils.input_validation import expect_types from zipline.utils.memoize import lazyval from zipline.utils.numpy_utils import ( @@ -756,12 +755,10 @@ def _assert_valid_categorical_missing_value(value): Raises a TypeError if the value is cannot be used as the missing_value for a categorical_dtype Term. + + Currently, only None is supported as a missing value. """ - label_types = LabelArray.SUPPORTED_SCALAR_TYPES - if not isinstance(value, label_types): + if value is not None: raise TypeError( - "Categorical terms must have missing values of type " - "{types}.".format( - types=' or '.join([t.__name__ for t in label_types]), - ) + "Categorical terms must have missing values of None." ) From 0ff13e7fdc6f3240e7cefafcb8da615faa18371d Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 21 Jul 2016 17:19:51 -0400 Subject: [PATCH 28/51] Revert "MAINT: Remove support for custom string Column missing values." This reverts commit 1b1e842e2339d6d0ee40cdfe34dcd27b4e4a7c0c. --- tests/pipeline/test_classifier.py | 21 +++++++++++---------- tests/pipeline/test_events.py | 21 +++++++++++---------- tests/pipeline/test_term.py | 2 +- zipline/lib/labelarray.py | 25 ++++--------------------- zipline/pipeline/data/testing.py | 4 ++++ zipline/pipeline/term.py | 11 +++++++---- 6 files changed, 38 insertions(+), 46 deletions(-) diff --git a/tests/pipeline/test_classifier.py b/tests/pipeline/test_classifier.py index 625ed4a5dd..aba522259b 100644 --- a/tests/pipeline/test_classifier.py +++ b/tests/pipeline/test_classifier.py @@ -51,7 +51,7 @@ class C(Classifier): mask=self.build_mask(self.ones_mask(shape=data.shape)), ) - @parameter_space(mv=[None]) + @parameter_space(mv=['0', None]) def test_string_isnull(self, mv): class C(Classifier): @@ -126,7 +126,7 @@ def test_string_eq(self, compval, labelarray_dtype): class C(Classifier): dtype = categorical_dtype - missing_value = None + missing_value = '' inputs = () window_length = 0 @@ -162,7 +162,7 @@ class C(Classifier): ) def test_disallow_comparison_to_missing_value(self, missing, dtype_): if dtype_ == categorical_dtype: - missing = None + missing = str(missing) class C(Classifier): dtype = dtype_ @@ -224,7 +224,7 @@ def test_string_not_equal(self, compval, missing, labelarray_dtype): class C(Classifier): dtype = categorical_dtype - missing_value = None + missing_value = missing inputs = () window_length = 0 @@ -245,7 +245,7 @@ class C(Classifier): expected = ( (data.as_int_array() != data.reverse_categories.get(compval, -1)) & - (data.as_int_array() != data.reverse_categories[missing]) + (data.as_int_array() != data.reverse_categories[C.missing_value]) ) self.check_terms( @@ -271,6 +271,7 @@ def test_string_elementwise_predicates(self, labelarray_dtype): if labelarray_dtype == bytes_dtype: compval = compval.encode('utf-8') + missing = missing.encode('utf-8') startswith_re = b'^' + compval + b'.*' endswith_re = b'.*' + compval + b'$' @@ -282,7 +283,7 @@ def test_string_elementwise_predicates(self, class C(Classifier): dtype = categorical_dtype - missing_value = None + missing_value = missing inputs = () window_length = 0 @@ -337,7 +338,7 @@ def test_element_of_strings(self, container_type, labelarray_dtype): class C(Classifier): dtype = categorical_dtype - missing_value = None + missing_value = missing inputs = () window_length = 0 @@ -417,7 +418,7 @@ def test_element_of_rejects_missing_value(self): Test that element_of raises a useful error if we attempt to pass it an array of choices that include the classifier's missing_value. """ - missing = None + missing = "not in the array" class C(Classifier): dtype = categorical_dtype @@ -432,7 +433,7 @@ class C(Classifier): c.element_of(bad_elems) errmsg = str(e.exception) expected = ( - "Found self.missing_value (None) in choices" + "Found self.missing_value ('not in the array') in choices" " supplied to C.element_of().\n" "Missing values have NaN semantics, so the requested" " comparison would always produce False.\n" @@ -446,7 +447,7 @@ def test_element_of_rejects_unhashable_type(self, dtype_): class C(Classifier): dtype = dtype_ - missing_value = None if dtype_ is categorical_dtype else -1 + missing_value = dtype.type('1') inputs = () window_length = 0 diff --git a/tests/pipeline/test_events.py b/tests/pipeline/test_events.py index 80cdbb5bc3..c10b15c528 100644 --- a/tests/pipeline/test_events.py +++ b/tests/pipeline/test_events.py @@ -55,6 +55,15 @@ class EventDataSet(DataSet): previous_string = Column(dtype=categorical_dtype, missing_value=None) next_string = Column(dtype=categorical_dtype, missing_value=None) + previous_string_custom_missing = Column( + dtype=categorical_dtype, + missing_value=u"<>", + ) + next_string_custom_missing = Column( + dtype=categorical_dtype, + missing_value=u"<>", + ) + critical_dates = pd.to_datetime([ '2014-01-05', @@ -280,6 +289,7 @@ def init_class_fixtures(cls): EventDataSet.next_float: 'float', EventDataSet.next_int: 'int', EventDataSet.next_string: 'string', + EventDataSet.next_string_custom_missing: 'string' } cls.previous_value_columns = { EventDataSet.previous_datetime: 'datetime', @@ -287,6 +297,7 @@ def init_class_fixtures(cls): EventDataSet.previous_float: 'float', EventDataSet.previous_int: 'int', EventDataSet.previous_string: 'string', + EventDataSet.previous_string_custom_missing: 'string' } cls.loader = cls.make_loader( events=cls.raw_events, @@ -366,11 +377,6 @@ def check_previous_value_results(self, column, results): # If we've seen event 1 but not event 2, event 1 should # win. self.assertEqual(computed_value, v1) - elif column.dtype == categorical_dtype: - # XXX: The value in the output from pandas will be np.nan, - # but we currently only support None as the missing - # value for string columns. - self.assertTrue(np.isnan(computed_value)) else: # If we haven't seen either event, then we should have # column.missing_value. @@ -408,11 +414,6 @@ def check_next_value_results(self, column, results): # If we've seen event 1 but not event 2, event 1 should # win. self.assertEqual(computed_value, v2) - elif column.dtype == categorical_dtype: - # XXX: The value in the output from pandas will be np.nan, - # but we currently only support None as the missing - # value for string columns. - self.assertTrue(np.isnan(computed_value)) else: # If we haven't seen either event, then we should have # column.missing_value. diff --git a/tests/pipeline/test_term.py b/tests/pipeline/test_term.py index 89d9368c42..c58dd4e068 100644 --- a/tests/pipeline/test_term.py +++ b/tests/pipeline/test_term.py @@ -742,7 +742,7 @@ class SomeClassifier(CustomClassifier): window_length = 5 inputs = [SomeDataSet.foo, SomeDataSet.bar] outputs = outputs_ - missing_value = None if dtype_ is categorical_dtype else -1 + missing_value = dtype_.type('123') expected_error = ( "SomeClassifier does not support custom outputs, " diff --git a/zipline/lib/labelarray.py b/zipline/lib/labelarray.py index 92f40175ca..0cf1e96770 100644 --- a/zipline/lib/labelarray.py +++ b/zipline/lib/labelarray.py @@ -284,28 +284,11 @@ def as_categorical(self, name=None): """ if len(self.shape) > 1: raise ValueError("Can't convert a 2D array to a categorical.") - - missing_code = self.reverse_categories[self.missing_value] - raw_codes = self.as_int_array() - # As of pandas 0.18, putting null values in pandas categoricals is - # deprecated. The preferred representation is to pass -1 as the code - # for missing values. - if missing_code == 0: - # This is just a performance optimization. It should produce the - # same results as below. - codes = raw_codes - 1 - categories = self.categories[1:] - else: - # subtract 1 for anything greater than the missing code, and set - # the missing code to -1. - codes = raw_codes.copy() - codes[codes > missing_code] -= 1 - codes[codes == missing_code] = -1 - categories = self.categories[self.categories != self.missing_value] - return pd.Categorical.from_codes( - codes, - categories, + self.as_int_array(), + # We need to make a copy because pandas >= 0.17 fails if this + # buffer isn't writeable. + self.categories.copy(), ordered=False, name=name, ) diff --git a/zipline/pipeline/data/testing.py b/zipline/pipeline/data/testing.py index 0359390d2a..5287368538 100644 --- a/zipline/pipeline/data/testing.py +++ b/zipline/pipeline/data/testing.py @@ -32,3 +32,7 @@ class TestingDataSet(DataSet): dtype=categorical_dtype, missing_value=None, ) + categorical_default_NULL_string = Column( + dtype=categorical_dtype, + missing_value=u'<>', + ) diff --git a/zipline/pipeline/term.py b/zipline/pipeline/term.py index f7e4a35e47..6cecd1475e 100644 --- a/zipline/pipeline/term.py +++ b/zipline/pipeline/term.py @@ -28,6 +28,7 @@ WindowLengthNotSpecified, ) from zipline.lib.adjusted_array import can_represent_dtype +from zipline.lib.labelarray import LabelArray from zipline.utils.input_validation import expect_types from zipline.utils.memoize import lazyval from zipline.utils.numpy_utils import ( @@ -755,10 +756,12 @@ def _assert_valid_categorical_missing_value(value): Raises a TypeError if the value is cannot be used as the missing_value for a categorical_dtype Term. - - Currently, only None is supported as a missing value. """ - if value is not None: + label_types = LabelArray.SUPPORTED_SCALAR_TYPES + if not isinstance(value, label_types): raise TypeError( - "Categorical terms must have missing values of None." + "Categorical terms must have missing values of type " + "{types}.".format( + types=' or '.join([t.__name__ for t in label_types]), + ) ) From 53eb1964d92642507c3a8336e4a9195b0d5d7acf Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 21 Jul 2016 17:34:56 -0400 Subject: [PATCH 29/51] MAINT: Temporarily ignore pandas warnings in categoricals. Pandas 0.18 doesn't like having null-ish values in categoricals. Fixing this properly requires re-thinking the semantics for missing_value on pipeline terms, so we're punting on that until after we've upgraded to 0.18. --- tests/pipeline/test_blaze.py | 1 + tests/pipeline/test_column.py | 5 ++++- zipline/lib/labelarray.py | 19 +++++++++++-------- zipline/utils/pandas_utils.py | 15 +++++++++++++++ 4 files changed, 31 insertions(+), 9 deletions(-) diff --git a/tests/pipeline/test_blaze.py b/tests/pipeline/test_blaze.py index 4e71769412..35ff75df34 100644 --- a/tests/pipeline/test_blaze.py +++ b/tests/pipeline/test_blaze.py @@ -41,6 +41,7 @@ from zipline.testing.fixtures import WithAssetFinder from zipline.testing.predicates import assert_equal, assert_isidentical from zipline.utils.numpy_utils import float64_dtype, int64_dtype +from zipline.utils.pandas_utils import ignore_pandas_nan_categorical_warning nameof = op.attrgetter('name') diff --git a/tests/pipeline/test_column.py b/tests/pipeline/test_column.py index 717fc53def..99b8b5d780 100644 --- a/tests/pipeline/test_column.py +++ b/tests/pipeline/test_column.py @@ -11,6 +11,7 @@ from zipline.pipeline import Pipeline from zipline.pipeline.data.testing import TestingDataSet as TDS from zipline.testing import chrange, temp_pipeline_engine +from zipline.utils.pandas_utils import ignore_pandas_nan_categorical_warning class LatestTestCase(TestCase): @@ -71,6 +72,8 @@ def test_latest(self): dates_to_test[-1], ) for column in columns: - col_result = result[column.name].unstack() + with ignore_pandas_nan_categorical_warning(): + col_result = result[column.name].unstack() + expected_col_result = self.expected_latest(column, cal_slice) assert_frame_equal(col_result, expected_col_result) diff --git a/zipline/lib/labelarray.py b/zipline/lib/labelarray.py index 0cf1e96770..b92faf06c2 100644 --- a/zipline/lib/labelarray.py +++ b/zipline/lib/labelarray.py @@ -24,6 +24,7 @@ int_dtype_with_size_in_bytes, is_object, ) +from zipline.utils.pandas_utils import ignore_pandas_nan_categorical_warning from ._factorize import ( factorize_strings, @@ -284,14 +285,16 @@ def as_categorical(self, name=None): """ if len(self.shape) > 1: raise ValueError("Can't convert a 2D array to a categorical.") - return pd.Categorical.from_codes( - self.as_int_array(), - # We need to make a copy because pandas >= 0.17 fails if this - # buffer isn't writeable. - self.categories.copy(), - ordered=False, - name=name, - ) + + with ignore_pandas_nan_categorical_warning(): + return pd.Categorical.from_codes( + self.as_int_array(), + # We need to make a copy because pandas >= 0.17 fails if this + # buffer isn't writeable. + self.categories.copy(), + ordered=False, + name=name, + ) def as_categorical_frame(self, index, columns, name=None): """ diff --git a/zipline/utils/pandas_utils.py b/zipline/utils/pandas_utils.py index a38b437ae9..121a72babb 100644 --- a/zipline/utils/pandas_utils.py +++ b/zipline/utils/pandas_utils.py @@ -1,8 +1,10 @@ """ Utilities for working with pandas objects. """ +from contextlib import contextmanager from itertools import product import operator as op +import warnings import pandas as pd from distutils.version import StrictVersion @@ -162,6 +164,19 @@ def timedelta_to_integral_minutes(delta): return timedelta_to_integral_seconds(delta) // 60 +@contextmanager +def ignore_pandas_nan_categorical_warning(): + with warnings.catch_warnings(): + # Pandas >= 0.18 doesn't like null-ish values in catgories, but + # avoiding that requires a broader change to how missing values are + # handled in pipeline, so for now just silence the warning. + warnings.filterwarnings( + 'ignore', + category=FutureWarning, + ) + yield + + # Remove when we drop support for 0.17 if pandas_version >= StrictVersion('0.18'): def rolling_mean(arg, From ac256f38555a1045f5ea071920e5cebef059ae1e Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Fri, 22 Jul 2016 15:15:03 -0400 Subject: [PATCH 30/51] MAINT: Use errors='coerce'. coerce=True is deprecated. --- zipline/sources/requests_csv.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/zipline/sources/requests_csv.py b/zipline/sources/requests_csv.py index c1ba028b09..57d683f418 100644 --- a/zipline/sources/requests_csv.py +++ b/zipline/sources/requests_csv.py @@ -230,7 +230,7 @@ def parse_date_str_series(format_str, tz, date_str_series, data_frequency, parsed = pd.to_datetime( date_str_series.values, format=format_str, - coerce=True, + errors='coerce', ).tz_localize(tz_str).tz_convert('UTC') if data_frequency == 'daily': From df76086319c5d5fa54471eb032a9cd2a2cae0788 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Tue, 26 Jul 2016 13:09:58 -0400 Subject: [PATCH 31/51] DOC: Typo in comment. --- zipline/data/minute_bars.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/zipline/data/minute_bars.py b/zipline/data/minute_bars.py index 8372db301d..4baae88c59 100644 --- a/zipline/data/minute_bars.py +++ b/zipline/data/minute_bars.py @@ -698,7 +698,7 @@ def _write_cols(self, sid, dts, cols): last_minute_to_write = dts[-1] # In the event that we've already written some minutely data to the - # ctable, guard against overwritting that data. + # ctable, guard against overwriting that data. if num_rec_mins > 0: last_recorded_minute = np.datetime64(all_minutes[num_rec_mins - 1]) if last_minute_to_write <= last_recorded_minute: From aa3e2fe4e73851a59193a46da8cc5a9772c92150 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Tue, 26 Jul 2016 13:18:11 -0400 Subject: [PATCH 32/51] MAINT: Don't make datetime64 from tz-aware Timestamp. It's slow and deprecated. --- zipline/data/minute_bars.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/zipline/data/minute_bars.py b/zipline/data/minute_bars.py index 4baae88c59..2c7e307faf 100644 --- a/zipline/data/minute_bars.py +++ b/zipline/data/minute_bars.py @@ -695,12 +695,12 @@ def _write_cols(self, sid, dts, cols): all_minutes = self._minute_index # Get the latest minute we wish to write to the ctable - last_minute_to_write = dts[-1] + last_minute_to_write = pd.Timestamp(dts[-1], tz='UTC') # In the event that we've already written some minutely data to the # ctable, guard against overwriting that data. if num_rec_mins > 0: - last_recorded_minute = np.datetime64(all_minutes[num_rec_mins - 1]) + last_recorded_minute = all_minutes[num_rec_mins - 1] if last_minute_to_write <= last_recorded_minute: raise BcolzMinuteOverlappingData(dedent(""" Data with last_date={0} already includes input start={1} for From 72806620eaa8569c96aa0c4f812fa5938a43958a Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 28 Jul 2016 11:46:30 -0400 Subject: [PATCH 33/51] DOC: Note where cleanup happens. --- tests/resources/rebuild_example_data | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/resources/rebuild_example_data b/tests/resources/rebuild_example_data index 92c7e86a9b..c33cd2a385 100755 --- a/tests/resources/rebuild_example_data +++ b/tests/resources/rebuild_example_data @@ -164,6 +164,8 @@ def main(ctx, rebuild_input): ) # move the new results to the expected path + # note that new_perf_path will be cleaned up dataframe_cache on + # exit. shutil.rmtree(expected_perf_path) shutil.copytree(new_perf_path, expected_perf_path) From 659c8ae5ee97e069b3207443659d1564441544a2 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 28 Jul 2016 13:32:29 -0400 Subject: [PATCH 34/51] BLD: Remove old numpy/pandas versions from travis. --- .travis.yml | 6 +----- etc/requirements.txt | 2 +- 2 files changed, 2 insertions(+), 6 deletions(-) diff --git a/.travis.yml b/.travis.yml index 7968f36e81..821d465587 100644 --- a/.travis.yml +++ b/.travis.yml @@ -9,8 +9,7 @@ env: # ANACONDA_TOKEN with api:write - secure: "RJJjjQloUjCSkhII93QM+YAsr6YYq7hPFvlbnT07ogn1NeUPsVCyJ97oiZfKtPgdbd24hdQP/CHfB0HgTTES8n996tN3QWc4hZj0e10kFyIlas9qnkrRYRR1jxGShBDXrLdx/tGh8z1qnnCm1fy+fDhAF7Zerouwy4EA2YEzxdE=" matrix: - - PANDAS_VERSION=0.16.1 NUMPY_VERSION=1.9.2 SCIPY_VERSION=0.15.1 - - PANDAS_VERSION=0.17.1 NUMPY_VERSION=1.10.4 SCIPY_VERSION=0.16.1 + - NUMPY_VERSION=1.11.1 cache: directories: - $HOME/.cache/.pip/ @@ -20,9 +19,6 @@ before_install: - chmod +x miniconda.sh - ./miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - - sed -i "s/numpy==.*/numpy==$NUMPY_VERSION/" etc/requirements.txt - - sed -i "s/pandas==.*/pandas==$PANDAS_VERSION/" etc/requirements.txt - - sed -i "s/scipy==.*/scipy==$SCIPY_VERSION/" etc/requirements.txt install: - conda install conda=4.1.11 conda-build=1.21.11 anaconda-client=1.5.1 --yes diff --git a/etc/requirements.txt b/etc/requirements.txt index 8b55fd6b0b..df8919daf1 100644 --- a/etc/requirements.txt +++ b/etc/requirements.txt @@ -13,7 +13,7 @@ numpy==1.11.1 # scipy and pandas are required for statsmodels, # statsmodels in turn is required for some pandas packages -scipy==0.15.1 +scipy==0.18.0 pandas==0.18.1 pandas-datareader==0.2.1 # Needed for parts of pandas.stats From 78dd69c5a6730fd6f2b9ce3769931177ff30a82e Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 28 Jul 2016 13:50:21 -0400 Subject: [PATCH 35/51] MAINT: Put scipy back in travis reqs. --- .travis.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.travis.yml b/.travis.yml index 821d465587..b43311095a 100644 --- a/.travis.yml +++ b/.travis.yml @@ -9,7 +9,7 @@ env: # ANACONDA_TOKEN with api:write - secure: "RJJjjQloUjCSkhII93QM+YAsr6YYq7hPFvlbnT07ogn1NeUPsVCyJ97oiZfKtPgdbd24hdQP/CHfB0HgTTES8n996tN3QWc4hZj0e10kFyIlas9qnkrRYRR1jxGShBDXrLdx/tGh8z1qnnCm1fy+fDhAF7Zerouwy4EA2YEzxdE=" matrix: - - NUMPY_VERSION=1.11.1 + - NUMPY_VERSION=1.11.1 SCIPY_VERSION=0.18.0 cache: directories: - $HOME/.cache/.pip/ @@ -23,7 +23,7 @@ install: - conda install conda=4.1.11 conda-build=1.21.11 anaconda-client=1.5.1 --yes - TALIB_VERSION=$(cat ./etc/requirements_talib.txt | sed "s/TA-Lib==\(.*\)/\1/") - - conda create -n testenv --yes -c quantopian pip python=$TRAVIS_PYTHON_VERSION numpy=$NUMPY_VERSION scipy=$SCIPY_VERSION libgfortran=1.0 ta-lib=$TALIB_VERSION + - conda create -n testenv --yes -c quantopian pip python=$TRAVIS_PYTHON_VERSION numpy=$NUMPY_VERSION scipy=$SCIPY_VERSION libgfortran=3.0 ta-lib=$TALIB_VERSION - source activate testenv - IFS='.' read -r -a NPY_VERSION_ARR <<< "$NUMPY_VERSION" - CONDA_NPY=${NPY_VERSION_ARR[0]}${NPY_VERSION_ARR[1]} From 7e2230a763cb723e00449a643f6944a4ffb21273 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 28 Jul 2016 16:43:05 -0400 Subject: [PATCH 36/51] STY: Fix flake8 failures. --- tests/events/test_events.py | 1 - tests/pipeline/test_blaze.py | 1 - tests/pipeline/test_engine.py | 8 ++++---- 3 files changed, 4 insertions(+), 6 deletions(-) diff --git a/tests/events/test_events.py b/tests/events/test_events.py index 40bf0c2f07..e7c6ca8eec 100644 --- a/tests/events/test_events.py +++ b/tests/events/test_events.py @@ -21,7 +21,6 @@ import pandas as pd from six import iteritems from six.moves import range, map -from toolz import concat import zipline.utils.events from zipline.utils.calendars import get_calendar diff --git a/tests/pipeline/test_blaze.py b/tests/pipeline/test_blaze.py index 35ff75df34..4e71769412 100644 --- a/tests/pipeline/test_blaze.py +++ b/tests/pipeline/test_blaze.py @@ -41,7 +41,6 @@ from zipline.testing.fixtures import WithAssetFinder from zipline.testing.predicates import assert_equal, assert_isidentical from zipline.utils.numpy_utils import float64_dtype, int64_dtype -from zipline.utils.pandas_utils import ignore_pandas_nan_categorical_warning nameof = op.attrgetter('name') diff --git a/tests/pipeline/test_engine.py b/tests/pipeline/test_engine.py index 335cda4429..dd39c2015d 100644 --- a/tests/pipeline/test_engine.py +++ b/tests/pipeline/test_engine.py @@ -1141,10 +1141,10 @@ def expected_ewmstd(self, window_length, decay_rate): alpha = 1 - decay_rate span = (2 / alpha) - 1 - # XXX: This is a comically inefficient way to compute a windowed EWMSTD. - # Don't use it outside of testing. We're using rolling-apply of an - # ewma (which is itself a rolling-window function) because we only want - # to look at ``window_length`` rows at a time. + # XXX: This is a comically inefficient way to compute a windowed + # EWMSTD. Don't use it outside of testing. We're using rolling-apply + # of an ewma (which is itself a rolling-window function) because we + # only want to look at ``window_length`` rows at a time. return rolling_apply( self.raw_data, window_length, From 2e238bfa3818050b92ffd91469a9d151533319d8 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Mon, 1 Aug 2016 12:45:09 -0400 Subject: [PATCH 37/51] BLD: Update appveyor.yml for new pandas/numpy. --- appveyor.yml | 23 ++++++----------------- 1 file changed, 6 insertions(+), 17 deletions(-) diff --git a/appveyor.yml b/appveyor.yml index 1e4fce9683..a3ccdf13ca 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -15,27 +15,16 @@ environment: matrix: - PYTHON_VERSION: "2.7" PYTHON_ARCH: "64" - PANDAS_VERSION: "0.16.1" - NUMPY_VERSION: "1.9.2" - SCIPY_VERSION: "0.15.1" + PANDAS_VERSION: "0.18.1" + NUMPY_VERSION: "1.11" + SCIPY_VERSION: "0.18.0" - PYTHON_VERSION: "3.4" PYTHON_ARCH: "64" - PANDAS_VERSION: "0.16.1" - NUMPY_VERSION: "1.9.2" - SCIPY_VERSION: "0.15.1" + PANDAS_VERSION: "0.18.1" + NUMPY_VERSION: "1.11" + SCIPY_VERSION: "0.18.0" - - PYTHON_VERSION: "2.7" - PYTHON_ARCH: "64" - PANDAS_VERSION: "0.17.1" - NUMPY_VERSION: "1.10.4" - SCIPY_VERSION: "0.16.1" - - - PYTHON_VERSION: "3.4" - PYTHON_ARCH: "64" - PANDAS_VERSION: "0.17.1" - NUMPY_VERSION: "1.10.4" - SCIPY_VERSION: "0.16.1" # We always use a 64-bit machine, but can build x86 distributions # with the PYTHON_ARCH variable (which is used by CMD_IN_ENV). From 966c0ceedbc5099d4759266b0aa92408151cbc21 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Mon, 1 Aug 2016 13:02:45 -0400 Subject: [PATCH 38/51] MAINT: Remove outdated compat code. --- tests/pipeline/test_engine.py | 48 ++++++------- zipline/pipeline/loaders/blaze/core.py | 3 +- zipline/pipeline/loaders/frame.py | 3 +- zipline/utils/pandas_utils.py | 99 ++------------------------ 4 files changed, 29 insertions(+), 124 deletions(-) diff --git a/tests/pipeline/test_engine.py b/tests/pipeline/test_engine.py index dd39c2015d..6a7037eb18 100644 --- a/tests/pipeline/test_engine.py +++ b/tests/pipeline/test_engine.py @@ -80,12 +80,6 @@ ) from zipline.utils.memoize import lazyval from zipline.utils.numpy_utils import bool_dtype, datetime64ns_dtype -from zipline.utils.pandas_utils import ( - ewma, - ewmstd, - rolling_apply, - rolling_mean, -) class RollingSumDifference(CustomFactor): @@ -1010,16 +1004,16 @@ def test_SMA(self): # Shift back the raw inputs by a trading day because we expect our # computed results to be computed using values anchored on the # **previous** day's data. - expected_raw = rolling_mean( - DataFrame( - expected_bar_values_2d( - dates - self.trading_calendar.day, - self.equity_info, - 'close', - ), + expected_raw = DataFrame( + expected_bar_values_2d( + dates - self.trading_calendar.day, + self.equity_info, + 'close', ), + ).rolling( window_length, min_periods=1, + ).mean( ).values expected = DataFrame( @@ -1131,10 +1125,11 @@ def expected_ewma(self, window_length, decay_rate): # Don't use it outside of testing. We're using rolling-apply of an # ewma (which is itself a rolling-window function) because we only want # to look at ``window_length`` rows at a time. - return rolling_apply( - self.raw_data, - window_length, - lambda window: ewma(DataFrame(window), span=span).values[-1], + return self.raw_data.rolling(window_length).apply( + lambda subarray: (DataFrame(subarray) + .ewm(span=span) + .mean() + .values[-1]) )[window_length:] def expected_ewmstd(self, window_length, decay_rate): @@ -1145,10 +1140,11 @@ def expected_ewmstd(self, window_length, decay_rate): # EWMSTD. Don't use it outside of testing. We're using rolling-apply # of an ewma (which is itself a rolling-window function) because we # only want to look at ``window_length`` rows at a time. - return rolling_apply( - self.raw_data, - window_length, - lambda window: ewmstd(DataFrame(window), span=span).values[-1], + return self.raw_data.rolling(window_length).apply( + lambda subarray: (DataFrame(subarray) + .ewm(span=span) + .std() + .values[-1]) )[window_length:] @parameterized.expand([ @@ -1273,7 +1269,7 @@ def test_dollar_volume(self): expected_1 = (self.raw_data[5:] ** 2) * 2 assert_frame_equal(results['dv1'].unstack(), expected_1) - expected_5 = rolling_mean((self.raw_data ** 2) * 2, window=5)[5:] + expected_5 = ((self.raw_data ** 2) * 2).rolling(5).mean()[5:] assert_frame_equal(results['dv5'].unstack(), expected_5) # The following two use USEquityPricing.open and .volume as inputs. @@ -1283,9 +1279,11 @@ def test_dollar_volume(self): * self.raw_data[5:] * 2).fillna(0) assert_frame_equal(results['dv1_nan'].unstack(), expected_1_nan) - expected_5_nan = rolling_mean((self.raw_data_with_nans - * self.raw_data * 2).fillna(0), - window=5)[5:] + expected_5_nan = ((self.raw_data_with_nans * self.raw_data * 2) + .fillna(0) + .rolling(5).mean() + [5:]) + assert_frame_equal(results['dv5_nan'].unstack(), expected_5_nan) diff --git a/zipline/pipeline/loaders/blaze/core.py b/zipline/pipeline/loaders/blaze/core.py index 6f575b91d1..01e1e65963 100644 --- a/zipline/pipeline/loaders/blaze/core.py +++ b/zipline/pipeline/loaders/blaze/core.py @@ -187,7 +187,6 @@ optionally, ) from zipline.utils.numpy_utils import bool_dtype, categorical_dtype -from zipline.utils.pandas_utils import sort_values from zipline.utils.pool import SequentialPool from zipline.utils.preprocess import preprocess @@ -754,7 +753,7 @@ def overwrite_novel_deltas(baseline, deltas, dates): ignore_index=True, copy=False, ) - sort_values(cat, TS_FIELD_NAME, inplace=True) + cat.sort_values(TS_FIELD_NAME, inplace=True) return cat, non_novel_deltas diff --git a/zipline/pipeline/loaders/frame.py b/zipline/pipeline/loaders/frame.py index ba7d9383d3..d4323916f2 100644 --- a/zipline/pipeline/loaders/frame.py +++ b/zipline/pipeline/loaders/frame.py @@ -16,7 +16,6 @@ from zipline.lib.adjusted_array import AdjustedArray from zipline.lib.adjustment import make_adjustment_from_labels from zipline.utils.numpy_utils import as_column -from zipline.utils.pandas_utils import sort_values from .base import PipelineLoader ADJUSTMENT_COLUMNS = Index([ @@ -73,7 +72,7 @@ def __init__(self, column, baseline, adjustments=None): else: # Ensure that columns are in the correct order. adjustments = adjustments.reindex_axis(ADJUSTMENT_COLUMNS, axis=1) - sort_values(adjustments, ['apply_date', 'sid'], inplace=True) + adjustments.sort_values(['apply_date', 'sid'], inplace=True) self.adjustments = adjustments self.adjustment_apply_dates = DatetimeIndex(adjustments.apply_date) diff --git a/zipline/utils/pandas_utils.py b/zipline/utils/pandas_utils.py index 121a72babb..84017a415e 100644 --- a/zipline/utils/pandas_utils.py +++ b/zipline/utils/pandas_utils.py @@ -12,6 +12,10 @@ pandas_version = StrictVersion(pd.__version__) +def july_5th_holiday_observance(datetime_index): + return datetime_index[datetime_index.year != 2013] + + def explode(df): """ Take a DataFrame and return a triple of @@ -21,19 +25,6 @@ def explode(df): return df.index, df.columns, df.values -try: - # This branch is hit in pandas 17 - sort_values = pd.DataFrame.sort_values -except AttributeError: - # This branch is hit in pandas 16 - sort_values = pd.DataFrame.sort - -if pandas_version >= StrictVersion('0.17.1'): - july_5th_holiday_observance = lambda dtix: dtix[dtix.year != 2013] -else: - july_5th_holiday_observance = lambda dt: None if dt.year == 2013 else dt - - def _time_to_micros(time): """Convert a time into microseconds since midnight. Parameters @@ -175,85 +166,3 @@ def ignore_pandas_nan_categorical_warning(): category=FutureWarning, ) yield - - -# Remove when we drop support for 0.17 -if pandas_version >= StrictVersion('0.18'): - def rolling_mean(arg, - window, - min_periods=None, - freq=None, - center=False, - **kwargs): - return arg.rolling( - window, - min_periods=min_periods, - freq=freq, - center=center, - **kwargs - ).mean() - - def rolling_apply(arg, - window, - func, - min_periods=None, - freq=None, - center=False, - **kwargs): - return arg.rolling( - window, - min_periods=min_periods, - freq=freq, - center=center, - **kwargs - ).apply(func) - - def ewma(arg, - com=None, - span=None, - halflife=None, - alpha=None, - min_periods=0, - freq=None, - adjust=True, - how=None, - ignore_na=False): - - return arg.ewm( - com=com, - span=span, - halflife=halflife, - alpha=alpha, - min_periods=min_periods, - freq=freq, - adjust=adjust, - ignore_na=ignore_na, - ).mean() - - def ewmstd(arg, - com=None, - span=None, - halflife=None, - alpha=None, - min_periods=0, - freq=None, - adjust=True, - how=None, - ignore_na=False): - - return arg.ewm( - com=com, - span=span, - halflife=halflife, - alpha=alpha, - min_periods=min_periods, - freq=freq, - adjust=adjust, - ignore_na=ignore_na, - ).std() - -else: - rolling_mean = pd.rolling_mean - rolling_apply = pd.rolling_apply - ewma = pd.ewma - ewmstd = pd.ewmstd From 76f8eaf2d5d68e7b3ffb91cee5d9a3088e778e36 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Mon, 1 Aug 2016 14:40:59 -0400 Subject: [PATCH 39/51] BLD: Downgrade to scipy 0.17. Anaconda doesn't have windows builds for scipy 0.18 (nor does conda-forge.) --- .travis.yml | 2 +- appveyor.yml | 5 ++--- etc/requirements.txt | 2 +- 3 files changed, 4 insertions(+), 5 deletions(-) diff --git a/.travis.yml b/.travis.yml index b43311095a..34551148ac 100644 --- a/.travis.yml +++ b/.travis.yml @@ -9,7 +9,7 @@ env: # ANACONDA_TOKEN with api:write - secure: "RJJjjQloUjCSkhII93QM+YAsr6YYq7hPFvlbnT07ogn1NeUPsVCyJ97oiZfKtPgdbd24hdQP/CHfB0HgTTES8n996tN3QWc4hZj0e10kFyIlas9qnkrRYRR1jxGShBDXrLdx/tGh8z1qnnCm1fy+fDhAF7Zerouwy4EA2YEzxdE=" matrix: - - NUMPY_VERSION=1.11.1 SCIPY_VERSION=0.18.0 + - NUMPY_VERSION=1.11.1 SCIPY_VERSION=0.17.1 cache: directories: - $HOME/.cache/.pip/ diff --git a/appveyor.yml b/appveyor.yml index a3ccdf13ca..381561500a 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -17,14 +17,13 @@ environment: PYTHON_ARCH: "64" PANDAS_VERSION: "0.18.1" NUMPY_VERSION: "1.11" - SCIPY_VERSION: "0.18.0" + SCIPY_VERSION: "0.17.0" - PYTHON_VERSION: "3.4" PYTHON_ARCH: "64" PANDAS_VERSION: "0.18.1" NUMPY_VERSION: "1.11" - SCIPY_VERSION: "0.18.0" - + SCIPY_VERSION: "0.17.0" # We always use a 64-bit machine, but can build x86 distributions # with the PYTHON_ARCH variable (which is used by CMD_IN_ENV). diff --git a/etc/requirements.txt b/etc/requirements.txt index df8919daf1..862d801c4a 100644 --- a/etc/requirements.txt +++ b/etc/requirements.txt @@ -13,7 +13,7 @@ numpy==1.11.1 # scipy and pandas are required for statsmodels, # statsmodels in turn is required for some pandas packages -scipy==0.18.0 +scipy==0.17.1 pandas==0.18.1 pandas-datareader==0.2.1 # Needed for parts of pandas.stats From 48e12a2604b337422fdada9ae098ebc2399f6f62 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Tue, 2 Aug 2016 13:05:15 -0400 Subject: [PATCH 40/51] MAINT: Use specific versions in appveyor.yml. --- appveyor.yml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/appveyor.yml b/appveyor.yml index 381561500a..c4fd97cf43 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -16,14 +16,14 @@ environment: - PYTHON_VERSION: "2.7" PYTHON_ARCH: "64" PANDAS_VERSION: "0.18.1" - NUMPY_VERSION: "1.11" - SCIPY_VERSION: "0.17.0" + NUMPY_VERSION: "1.11.1" + SCIPY_VERSION: "0.17.1" - PYTHON_VERSION: "3.4" PYTHON_ARCH: "64" PANDAS_VERSION: "0.18.1" - NUMPY_VERSION: "1.11" - SCIPY_VERSION: "0.17.0" + NUMPY_VERSION: "1.11.1" + SCIPY_VERSION: "0.17.1" # We always use a 64-bit machine, but can build x86 distributions # with the PYTHON_ARCH variable (which is used by CMD_IN_ENV). From 30a1eb66ea5dfd2911ea365a153ebd0a05fa6707 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Fri, 5 Aug 2016 17:37:32 -0400 Subject: [PATCH 41/51] MAINT: Use explicit floats in np.full. --- tests/pipeline/test_technical.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tests/pipeline/test_technical.py b/tests/pipeline/test_technical.py index b93131bbe0..7ef0e0328d 100644 --- a/tests/pipeline/test_technical.py +++ b/tests/pipeline/test_technical.py @@ -381,7 +381,7 @@ def test_wma2(self): today = pd.Timestamp('2015') assets = np.arange(5, dtype=np.int64) - data = np.arange(50, dtype=float).reshape((10, 5)) + data = np.arange(50, dtype=np.float64).reshape((10, 5)) out = np.zeros(data.shape[1]) wma2.compute(today, assets, out, data) @@ -397,9 +397,9 @@ def test_tr_basic(self): assets = np.arange(3, dtype=np.int64) out = np.empty(3, dtype=np.float64) - highs = np.full((2, 3), 3) - lows = np.full((2, 3), 2) - closes = np.full((2, 3), 1) + highs = np.full((2, 3), 3.) + lows = np.full((2, 3), 2.) + closes = np.full((2, 3), 1.) tr.compute(today, assets, out, highs, lows, closes) - assert_equal(out, np.full((3,), 2)) + assert_equal(out, np.full((3,), 2.)) From f3eeaa233c79fca8a177ce48445041aa23605b67 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Fri, 5 Aug 2016 17:38:18 -0400 Subject: [PATCH 42/51] MAINT: Fix PerformanceWarning import. --- tests/test_algorithm.py | 2 +- tests/test_api_shim.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_algorithm.py b/tests/test_algorithm.py index 4bb8647c5a..f9b86bab76 100644 --- a/tests/test_algorithm.py +++ b/tests/test_algorithm.py @@ -32,7 +32,7 @@ import numpy as np import pandas as pd import pytz -from pandas.io.common import PerformanceWarning +from pandas.core.common import PerformanceWarning from zipline import run_algorithm from zipline import TradingAlgorithm diff --git a/tests/test_api_shim.py b/tests/test_api_shim.py index ee73a1bf87..3aa64b8d75 100644 --- a/tests/test_api_shim.py +++ b/tests/test_api_shim.py @@ -3,7 +3,7 @@ from mock import patch import numpy as np import pandas as pd -from pandas.io.common import PerformanceWarning +from pandas.core.common import PerformanceWarning from zipline import TradingAlgorithm from zipline.finance.trading import SimulationParameters From 500f7067f0b87d4e32218bd361abc920de6521c0 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Fri, 5 Aug 2016 19:32:56 -0400 Subject: [PATCH 43/51] MAINT: Use df.resample().apply(). --- zipline/data/resample.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/zipline/data/resample.py b/zipline/data/resample.py index 98a878d412..38e4cb1d5b 100644 --- a/zipline/data/resample.py +++ b/zipline/data/resample.py @@ -54,8 +54,7 @@ def minute_to_session(minute_frame, calendar): """ how = OrderedDict((c, _MINUTE_TO_SESSION_OHCLV_HOW[c]) for c in minute_frame.columns) - return minute_frame.groupby(calendar.minute_to_session_label).agg( - how) + return minute_frame.groupby(calendar.minute_to_session_label).agg(how) class DailyHistoryAggregator(object): From 99a5957e83b9b9d9cb85c3c1e3e50b86b9d2c767 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Tue, 16 Aug 2016 14:54:00 -0400 Subject: [PATCH 44/51] MAINT: Use sort_values instead of sort(). --- zipline/assets/asset_writer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/zipline/assets/asset_writer.py b/zipline/assets/asset_writer.py index 050904eed8..c3d4b455d7 100644 --- a/zipline/assets/asset_writer.py +++ b/zipline/assets/asset_writer.py @@ -189,7 +189,7 @@ def _generate_output_dataframe(data_subset, defaults): def _check_asset_group(group): - row = group.sort('end_date').iloc[-1] + row = group.sort_values('end_date').iloc[-1] row.start_date = group.start_date.min() row.end_date = group.end_date.max() row.drop(list(symbol_columns), inplace=True) From ae4efffe3ed9cadc712174cebcce767f5317e554 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Thu, 18 Aug 2016 12:31:20 -0400 Subject: [PATCH 45/51] MAINT: Bump blaze. --- etc/requirements_blaze.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/etc/requirements_blaze.txt b/etc/requirements_blaze.txt index 5461f84188..a1517e3788 100644 --- a/etc/requirements_blaze.txt +++ b/etc/requirements_blaze.txt @@ -1,3 +1,3 @@ -e git://github.com/quantopian/datashape.git@bf06a41dc0908baf7c324aeacadba8820468ee78#egg=datashape-dev --e git://github.com/quantopian/odo.git@9e16310b5f2c3f05162145200db7e7908f0a866e#egg=odo-dev --e git://github.com/quantopian/blaze.git@7b8f70c15279c7ebacf2ac2f5f74acf08b300d71#egg=blaze-dev +-e git://github.com/quantopian/odo.git@da7f26d87702f5d293763e8ed54c7e25fd3af386#egg=odo-dev +-e git://github.com/quantopian/blaze.git@a1aa9a2868494f875c41bb1d9c88c0ea666071e2#egg=blaze-dev From d9282ef7e0fb3b1d9b73b4a9845ba93ebcf74676 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Wed, 7 Sep 2016 21:51:19 -0400 Subject: [PATCH 46/51] BUG: Don't fail on integral floats in event rules. Coerce and warn instead. --- tests/events/test_events.py | 22 ++++++++++++++++++++++ zipline/utils/events.py | 33 +++++++++++++++++++++++++++++++++ 2 files changed, 55 insertions(+) diff --git a/tests/events/test_events.py b/tests/events/test_events.py index e7c6ca8eec..467db3c8d5 100644 --- a/tests/events/test_events.py +++ b/tests/events/test_events.py @@ -16,12 +16,14 @@ from inspect import isabstract import random from unittest import TestCase +import warnings from nose_parameterized import parameterized import pandas as pd from six import iteritems from six.moves import range, map +from zipline.testing import parameter_space import zipline.utils.events from zipline.utils.calendars import get_calendar from zipline.utils.events import ( @@ -439,6 +441,26 @@ def test_ComposedRule(self): self.assertIs(composed.second, rule2) self.assertFalse(any(map(should_trigger, minute))) + @parameterized.expand([ + ('month_start', NthTradingDayOfMonth), + ('month_end', NDaysBeforeLastTradingDayOfMonth), + ('week_start', NthTradingDayOfWeek), + ('week_end', NthTradingDayOfWeek), + ]) + def test_pass_float_to_day_of_period_rule(self, name, rule_type): + with warnings.catch_warnings(record=True) as raised_warnings: + warnings.simplefilter('always') + rule_type(n=3) # Shouldn't trigger a warning. + rule_type(n=3.0) # Should trigger a warning about float coercion. + + self.assertEqual(len(raised_warnings), 1) + warning_str = raised_warnings[0].message.message + + # We only implicitly convert from float to int when there's no loss of + # precision. + with self.assertRaises(TypeError): + rule_type(3.1) + class StatefulRulesTests(RuleTestCase): CALENDAR_STRING = "NYSE" diff --git a/zipline/utils/events.py b/zipline/utils/events.py index cbdfda542b..2882d17d5d 100644 --- a/zipline/utils/events.py +++ b/zipline/utils/events.py @@ -15,13 +15,17 @@ from abc import ABCMeta, abstractmethod from collections import namedtuple import six +import warnings import datetime import numpy as np import pandas as pd import pytz +from toolz import curry +from zipline.utils.input_validation import preprocess from zipline.utils.memoize import lazyval + from .context_tricks import nop_context @@ -148,6 +152,31 @@ def _build_time(time, kwargs): return datetime.time(**kwargs) +@curry +def lossless_float_to_int(funcname, func, argname, arg): + """ + A preprocessor that coerces integral floats to ints. + + Receipt of non-integral floats raises a TypeError. + """ + if not isinstance(arg, float): + return arg + + arg_as_int = int(arg) + if arg == arg_as_int: + warnings.warn( + "{f} expected an int for argument {name!r}, but got float {arg}." + " Coercing to int.".format( + f=funcname, + name=argname, + arg=arg, + ), + ) + return arg_as_int + + raise TypeError(arg) + + class EventManager(object): """Manages a list of Event objects. This manages the logic for checking the rules and dispatching to the @@ -402,8 +431,10 @@ def should_trigger(self, dt): class TradingDayOfWeekRule(six.with_metaclass(ABCMeta, StatelessRule)): + @preprocess(n=lossless_float_to_int('TradingDayOfWeekRule')) def __init__(self, n, invert): if not 0 <= n < MAX_WEEK_RANGE: + import nose.tools; nose.tools.set_trace() raise _out_of_range_error(MAX_WEEK_RANGE) self.td_delta = (-n - 1) if invert else n @@ -443,6 +474,8 @@ def __init__(self, n): class TradingDayOfMonthRule(six.with_metaclass(ABCMeta, StatelessRule)): + + @preprocess(n=lossless_float_to_int('TradingDayOfMonthRule')) def __init__(self, n, invert): if not 0 <= n < MAX_MONTH_RANGE: raise _out_of_range_error(MAX_MONTH_RANGE) From ccd94e6e641d82ec7a2d9e83143640c411cf1b15 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Fri, 29 Jul 2016 07:26:48 -0400 Subject: [PATCH 47/51] MAINT: Rebuild example data. --- .gitignore | 3 +++ tests/resources/example_data.tar.gz | Bin 5258465 -> 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tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/open/meta/sizes delete mode 100644 tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/open/meta/storage delete mode 100644 tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/__attrs__ delete mode 100644 tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/data/__0.blp delete mode 100644 tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/meta/sizes delete mode 100644 tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/meta/storage delete mode 100644 tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/minute_equities.bcolz/metadata.json delete mode 100644 tests/resources/example_data/root/extension.py diff --git a/.gitignore b/.gitignore index 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a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/close/meta/storage b/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/close/meta/storage deleted file mode 100644 index 41eafa8741..0000000000 --- a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/close/meta/storage +++ /dev/null @@ -1 +0,0 @@ -{"chunklen": 32768, "dtype": "uint32", "expectedlen": 24646, "dflt": 0, "cparams": {"shuffle": true, "clevel": 5}} diff --git a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/day/__attrs__ b/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/day/__attrs__ deleted file mode 100644 index 0967ef424b..0000000000 --- a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/day/__attrs__ +++ /dev/null @@ -1 +0,0 @@ -{} diff --git 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a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/high/meta/sizes b/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/high/meta/sizes deleted file mode 100644 index 02f1a1e395..0000000000 --- a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/high/meta/sizes +++ /dev/null @@ -1 +0,0 @@ -{"nbytes": 98584, "shape": [24646], "cbytes": 131072} diff --git a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/high/meta/storage b/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/high/meta/storage deleted file mode 100644 index 41eafa8741..0000000000 --- a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/high/meta/storage +++ /dev/null @@ -1 +0,0 @@ -{"chunklen": 32768, "dtype": "uint32", "expectedlen": 24646, "dflt": 0, "cparams": {"shuffle": 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a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/low/meta/storage +++ /dev/null @@ -1 +0,0 @@ -{"chunklen": 32768, "dtype": "uint32", "expectedlen": 24646, "dflt": 0, "cparams": {"shuffle": true, "clevel": 5}} diff --git a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/open/__attrs__ b/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/open/__attrs__ deleted file mode 100644 index 0967ef424b..0000000000 --- a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/open/__attrs__ +++ /dev/null @@ -1 +0,0 @@ -{} diff --git a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/open/data/__0.blp b/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/open/data/__0.blp deleted file mode 100644 index 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a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/open/meta/storage +++ /dev/null @@ -1 +0,0 @@ -{"chunklen": 32768, "dtype": "uint32", "expectedlen": 24646, "dflt": 0, "cparams": {"shuffle": true, "clevel": 5}} diff --git a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/__attrs__ b/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/__attrs__ deleted file mode 100644 index 0967ef424b..0000000000 --- a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/__attrs__ +++ /dev/null @@ -1 +0,0 @@ -{} diff --git a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/data/__0.blp b/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/data/__0.blp deleted file mode 100644 index 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b/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/meta/sizes deleted file mode 100644 index 02f1a1e395..0000000000 --- a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/meta/sizes +++ /dev/null @@ -1 +0,0 @@ -{"nbytes": 98584, "shape": [24646], "cbytes": 131072} diff --git a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/meta/storage b/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/meta/storage deleted file mode 100644 index 41eafa8741..0000000000 --- a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/daily_equities.bcolz/volume/meta/storage +++ /dev/null @@ -1 +0,0 @@ -{"chunklen": 32768, "dtype": "uint32", "expectedlen": 24646, "dflt": 0, "cparams": {"shuffle": true, "clevel": 5}} diff --git a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/minute_equities.bcolz/metadata.json b/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/minute_equities.bcolz/metadata.json deleted file mode 100644 index 44008527e5..0000000000 --- a/tests/resources/example_data/root/data/test/2016-05-25T02;31;01.173926/minute_equities.bcolz/metadata.json +++ /dev/null @@ -1 +0,0 @@ -{"market_closes": [10521900, 10523340, 10524780, 10526220, 10530540, 10531980, 10533420, 10534860, 10536300, 10540620, 10542060, 10543500, 10544940, 10546380, 10550700, 10552140, 10553580, 10555020, 10556460, 10560780, 10562220, 10563660, 10565100, 10566540, 10570860, 10572300, 10573740, 10575180, 10576620, 10580940, 10582380, 10583820, 10585260, 10586700, 10592460, 10593900, 10595340, 10596780, 10601100, 10602540, 10603980, 10605420, 10606860, 10611180, 10612620, 10614060, 10615500, 10616940, 10621260, 10622700, 10624140, 10625580, 10627020, 10631340, 10632780, 10634220, 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b/tests/resources/rebuild_example_data @@ -164,13 +164,15 @@ def main(ctx, rebuild_input): ) # move the new results to the expected path - # note that new_perf_path will be cleaned up dataframe_cache on - # exit. shutil.rmtree(expected_perf_path) shutil.copytree(new_perf_path, expected_perf_path) - with tarfile.open(example_path, 'w|gz') as tar: - tar.add(d.getpath('example_data'), 'example_data') + # Clear out all the temporary new perf so it doesn't get added to the + # tarball. + shutil.rmtree(d.getpath('example_data/new_perf/')) + + with tarfile.open(example_path, 'w|gz') as tar: + tar.add(d.getpath('example_data'), 'example_data') if __name__ == '__main__': From 94e51cf76d1d7e03caa55cec25bfd214976b35a4 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Fri, 9 Sep 2016 17:22:29 -0400 Subject: [PATCH 48/51] MAINT: Use randint instead of random_integers. --- zipline/pipeline/loaders/synthetic.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/zipline/pipeline/loaders/synthetic.py b/zipline/pipeline/loaders/synthetic.py index ab02f87879..d9990c7d48 100644 --- a/zipline/pipeline/loaders/synthetic.py +++ b/zipline/pipeline/loaders/synthetic.py @@ -172,7 +172,7 @@ def _int_values(self, shape): """ Return uniformly-distributed integers between 0 and 100. """ - return (self.state.random_integers(low=0, high=100, size=shape) + return (self.state.randint(low=0, high=100, size=shape) .astype('int64')) # default is system int def _datetime_values(self, shape): @@ -180,7 +180,7 @@ def _datetime_values(self, shape): Return uniformly-distributed dates in 2014. """ start = Timestamp('2014', tz='UTC').asm8 - offsets = self.state.random_integers( + offsets = self.state.randint( low=0, high=364, size=shape, From 70755c5416c64cf8f848b7345ee83e38dff8ce56 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Fri, 9 Sep 2016 17:22:42 -0400 Subject: [PATCH 49/51] MAINT: Silence bad perf warning from pandas. --- zipline/utils/calendars/trading_calendar.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/zipline/utils/calendars/trading_calendar.py b/zipline/utils/calendars/trading_calendar.py index 01a5bf1bfb..0ec1bbe941 100644 --- a/zipline/utils/calendars/trading_calendar.py +++ b/zipline/utils/calendars/trading_calendar.py @@ -14,6 +14,7 @@ # limitations under the License. from abc import ABCMeta, abstractproperty from lru import LRU +import warnings from pandas.tseries.holiday import AbstractHolidayCalendar from six import with_metaclass @@ -66,7 +67,14 @@ class TradingCalendar(with_metaclass(ABCMeta)): """ def __init__(self, start=start_default, end=end_default): # Midnight in UTC for each trading day. - _all_days = date_range(start, end, freq=self.day, tz='UTC') + + # In pandas 0.18.1, pandas calls into its own code here in a way that + # fires a warning. The calling code in pandas tries to suppress the + # warning, but does so incorrectly, causing it to bubble out here. + # Actually catch and suppress the warning here: + with warnings.catch_warnings(): + warnings.simplefilter('ignore') + _all_days = date_range(start, end, freq=self.day, tz='UTC') # `DatetimeIndex`s of standard opens/closes for each day. self._opens = days_at_time(_all_days, self.open_time, self.tz, From 15b5cbf21b346037b310e552a6ea09d4cb53dd4d Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Fri, 16 Sep 2016 15:12:24 -0400 Subject: [PATCH 50/51] MAINT: Bump blaze. --- etc/requirements_blaze.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/etc/requirements_blaze.txt b/etc/requirements_blaze.txt index a1517e3788..b4a44072e0 100644 --- a/etc/requirements_blaze.txt +++ b/etc/requirements_blaze.txt @@ -1,3 +1,3 @@ -e git://github.com/quantopian/datashape.git@bf06a41dc0908baf7c324aeacadba8820468ee78#egg=datashape-dev -e git://github.com/quantopian/odo.git@da7f26d87702f5d293763e8ed54c7e25fd3af386#egg=odo-dev --e git://github.com/quantopian/blaze.git@a1aa9a2868494f875c41bb1d9c88c0ea666071e2#egg=blaze-dev +-e git://github.com/quantopian/blaze.git@929afbd3466df7efa0cf720b74dba223e0b3ac4a#egg=blaze-dev From c23dd5beaa7c0656cbdf185416137fc4ecb9fed0 Mon Sep 17 00:00:00 2001 From: Scott Sanderson Date: Tue, 20 Sep 2016 17:46:27 -0400 Subject: [PATCH 51/51] BUG: Remove set_trace and add test coverage. --- tests/events/test_events.py | 15 +++++++++++++-- zipline/utils/events.py | 1 - 2 files changed, 13 insertions(+), 3 deletions(-) diff --git a/tests/events/test_events.py b/tests/events/test_events.py index 467db3c8d5..d5573c60d1 100644 --- a/tests/events/test_events.py +++ b/tests/events/test_events.py @@ -23,7 +23,6 @@ from six import iteritems from six.moves import range, map -from zipline.testing import parameter_space import zipline.utils.events from zipline.utils.calendars import get_calendar from zipline.utils.events import ( @@ -454,13 +453,25 @@ def test_pass_float_to_day_of_period_rule(self, name, rule_type): rule_type(n=3.0) # Should trigger a warning about float coercion. self.assertEqual(len(raised_warnings), 1) - warning_str = raised_warnings[0].message.message # We only implicitly convert from float to int when there's no loss of # precision. with self.assertRaises(TypeError): rule_type(3.1) + def test_invalid_offsets(self): + with self.assertRaises(ValueError): + NthTradingDayOfWeek(5) + + with self.assertRaises(ValueError): + NthTradingDayOfWeek(-1) + + with self.assertRaises(ValueError): + NthTradingDayOfMonth(-1) + + with self.assertRaises(ValueError): + NthTradingDayOfMonth(24) + class StatefulRulesTests(RuleTestCase): CALENDAR_STRING = "NYSE" diff --git a/zipline/utils/events.py b/zipline/utils/events.py index 2882d17d5d..2e2e2c431c 100644 --- a/zipline/utils/events.py +++ b/zipline/utils/events.py @@ -434,7 +434,6 @@ class TradingDayOfWeekRule(six.with_metaclass(ABCMeta, StatelessRule)): @preprocess(n=lossless_float_to_int('TradingDayOfWeekRule')) def __init__(self, n, invert): if not 0 <= n < MAX_WEEK_RANGE: - import nose.tools; nose.tools.set_trace() raise _out_of_range_error(MAX_WEEK_RANGE) self.td_delta = (-n - 1) if invert else n

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