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pyyaml>=3.10 ; extra == 'watchmedo' requires_python: '>=3.9' diff --git a/pyfixest/estimation/FixestMulti_.py b/pyfixest/estimation/FixestMulti_.py index 97855f95..cca07b41 100644 --- a/pyfixest/estimation/FixestMulti_.py +++ b/pyfixest/estimation/FixestMulti_.py @@ -101,16 +101,16 @@ def __init__( # set functions inherited from other modules _module = import_module("pyfixest.report") - _tmp = getattr(_module, "coefplot") + _tmp = _module.coefplot self.coefplot = functools.partial(_tmp, models=self.all_fitted_models.values()) self.coefplot.__doc__ = _tmp.__doc__ - _tmp = getattr(_module, "iplot") + _tmp = _module.iplot self.iplot = functools.partial(_tmp, models=self.all_fitted_models.values()) self.iplot.__doc__ = _tmp.__doc__ - _tmp = getattr(_module, "summary") + _tmp = _module.summary self.summary = functools.partial(_tmp, models=self.all_fitted_models.values()) self.summary.__doc__ = _tmp.__doc__ - _tmp = getattr(_module, "etable") + _tmp = _module.etable self.etable = functools.partial(_tmp, models=self.all_fitted_models.values()) self.etable.__doc__ = _tmp.__doc__ @@ -120,7 +120,7 @@ def _prepare_estimation( fml: str, vcov: Union[None, str, dict[str, str]] = None, weights: Union[None, str] = None, - ssc: dict[str, Union[str, bool]] = {}, + ssc: Optional[dict[str, Union[str, bool]]] = None, fixef_rm: str = "none", drop_intercept: bool = False, ) -> None: @@ -181,7 +181,7 @@ def _prepare_estimation( self._is_iv = FML.is_iv # self._fml_dict = fxst_fml.condensed_fml_dict # self._fml_dict_iv = fxst_fml.condensed_fml_dict_iv - self._ssc_dict = ssc + self._ssc_dict = ssc if ssc is not None else {} self._drop_singletons = _drop_singletons(fixef_rm) def _estimate_all_models( diff --git a/pyfixest/estimation/FormulaParser.py b/pyfixest/estimation/FormulaParser.py index 97a07f6b..76394df3 100644 --- a/pyfixest/estimation/FormulaParser.py +++ b/pyfixest/estimation/FormulaParser.py @@ -846,5 +846,3 @@ def _check_duplicate_key(my_dict: dict, key: str): only be used once on the rhs of the two-sided formula. """ ) - else: - None diff --git a/pyfixest/estimation/estimation.py b/pyfixest/estimation/estimation.py index 0afbb5c8..cf89609e 100644 --- a/pyfixest/estimation/estimation.py +++ b/pyfixest/estimation/estimation.py @@ -13,7 +13,7 @@ WeightsTypeOptions, ) from pyfixest.utils.dev_utils import DataFrameType -from pyfixest.utils.utils import ssc +from pyfixest.utils.utils import ssc as ssc_func def feols( @@ -21,7 +21,7 @@ def feols( data: DataFrameType, # type: ignore vcov: Optional[Union[VcovTypeOptions, dict[str, str]]] = None, weights: Union[None, str] = None, - ssc: dict[str, Union[str, bool]] = ssc(), + ssc: Optional[dict[str, Union[str, bool]]] = None, fixef_rm: FixedRmOptions = "none", fixef_tol=1e-08, collin_tol: float = 1e-10, @@ -357,6 +357,8 @@ class for multiple models specified via `fml`. fit_D.ccv(treatment = "D", cluster = "group_id") ``` """ + if ssc is None: + ssc = ssc_func() if i_ref1 is not None: raise FeatureDeprecationError( """ @@ -419,13 +421,13 @@ def fepois( fml: str, data: DataFrameType, # type: ignore vcov: Optional[Union[VcovTypeOptions, dict[str, str]]] = None, - ssc: dict[str, Union[str, bool]] = ssc(), + ssc: Optional[dict[str, Union[str, bool]]] = None, fixef_rm: FixedRmOptions = "none", fixef_tol: float = 1e-08, iwls_tol: float = 1e-08, iwls_maxiter: int = 25, collin_tol: float = 1e-10, - separation_check: Optional[list[str]] = ["fe"], + separation_check: Optional[list[str]] = None, solver: SolverOptions = "np.linalg.solve", drop_intercept: bool = False, i_ref1=None, @@ -480,7 +482,7 @@ def fepois( separation_check: list[str], optional Methods to identify and drop separated observations. - Either "fe" or "ir". Executes "fe" by default. + Either "fe" or "ir". Executes "fe" by default (when None). solver : SolverOptions, optional. The solver to use for the regression. Can be either "np.linalg.solve" or @@ -549,6 +551,10 @@ def fepois( For more examples, please take a look at the documentation of the `feols()` function. """ + if separation_check is None: + separation_check = ["fe"] + if ssc is None: + ssc = ssc_func() if i_ref1 is not None: raise FeatureDeprecationError( """ diff --git a/pyfixest/estimation/feiv_.py b/pyfixest/estimation/feiv_.py index 364566f4..a56f6c86 100644 --- a/pyfixest/estimation/feiv_.py +++ b/pyfixest/estimation/feiv_.py @@ -248,7 +248,7 @@ def first_stage(self) -> None: self._non_exo_instruments = list(set(self._coefnames_z) - set(self._coefnames)) fixest_module = import_module("pyfixest.estimation") - fit_ = getattr(fixest_module, "feols") + fit_ = fixest_module.feols fml_first_stage = self.FixestFormula.fml_first_stage.replace(" ", "") if self._has_fixef: diff --git a/pyfixest/estimation/feols_.py b/pyfixest/estimation/feols_.py index 937f4fd2..7b35fdbc 100644 --- a/pyfixest/estimation/feols_.py +++ b/pyfixest/estimation/feols_.py @@ -301,13 +301,13 @@ def __init__( # set functions inherited from other modules _module = import_module("pyfixest.report") - _tmp = getattr(_module, "coefplot") + _tmp = _module.coefplot self.coefplot = functools.partial(_tmp, models=[self]) self.coefplot.__doc__ = _tmp.__doc__ - _tmp = getattr(_module, "iplot") + _tmp = _module.iplot self.iplot = functools.partial(_tmp, models=[self]) self.iplot.__doc__ = _tmp.__doc__ - _tmp = getattr(_module, "summary") + _tmp = _module.summary self.summary = functools.partial(_tmp, models=[self]) self.summary.__doc__ = _tmp.__doc__ @@ -757,7 +757,7 @@ def _vcov_crv3_fast(self, clustid, cluster_col): beta_center = _beta_hat vcov_mat = np.zeros((_k, _k)) - for ixg, g in enumerate(clustid): + for ixg, _ in enumerate(clustid): beta_centered = beta_jack[ixg, :] - beta_center vcov_mat += np.outer(beta_centered, beta_centered) @@ -778,10 +778,7 @@ def _vcov_crv3_slow(self, clustid, cluster_col): # lazy loading to avoid circular import fixest_module = import_module("pyfixest.estimation") - if _method == "feols": - fit_ = getattr(fixest_module, "feols") - else: - fit_ = getattr(fixest_module, "fepois") + fit_ = fixest_module.feols if _method == "feols" else fixest_module.fepois for ixg, g in enumerate(clustid): # direct leave one cluster out implementation @@ -804,7 +801,7 @@ def _vcov_crv3_slow(self, clustid, cluster_col): beta_center = _beta_hat vcov_mat = np.zeros((_k, _k)) - for ixg, g in enumerate(clustid): + for ixg, _ in enumerate(clustid): beta_centered = beta_jack[ixg, :] - beta_center vcov_mat += np.outer(beta_centered, beta_centered) @@ -1412,7 +1409,7 @@ def ccv( G = len(unique_clusters) ccv_module = import_module("pyfixest.estimation.ccv") - _compute_CCV = getattr(ccv_module, "_compute_CCV") + _compute_CCV = ccv_module._compute_CCV vcov_splits = 0.0 for _ in range(n_splits): @@ -1465,7 +1462,7 @@ def ccv( return pd.concat([res_ccv, res_crv1], axis=1).T ccv_module = import_module("pyfixest.estimation.ccv") - _ccv = getattr(ccv_module, "_ccv") + _ccv = ccv_module._ccv return _ccv( data=data, @@ -2482,7 +2479,7 @@ def _deparse_vcov_input(vcov: Union[str, dict[str, str]], has_fixef: bool, is_iv elif isinstance(vcov, (list, str)): vcov_type_detail = vcov else: - assert False, "arg vcov needs to be a dict, string or list" + raise TypeError("arg vcov needs to be a dict, string or list") if vcov_type_detail == "iid": vcov_type = "iid" @@ -2520,7 +2517,7 @@ def _deparse_vcov_input(vcov: Union[str, dict[str, str]], has_fixef: bool, is_iv def _apply_fixef_numpy(df_fe_values, fixef_dicts): fixef_mat = np.zeros_like(df_fe_values, dtype=float) - for i, (fixef, subdict) in enumerate(fixef_dicts.items()): + for i, (_, subdict) in enumerate(fixef_dicts.items()): unique_levels, inverse = np.unique(df_fe_values[:, i], return_inverse=True) mapping = np.array([subdict.get(level, np.nan) for level in unique_levels]) fixef_mat[:, i] = mapping[inverse] diff --git a/pyfixest/estimation/fepois_.py b/pyfixest/estimation/fepois_.py index 0ea65797..b3591fb9 100644 --- a/pyfixest/estimation/fepois_.py +++ b/pyfixest/estimation/fepois_.py @@ -584,7 +584,7 @@ def _check_for_separation_ir( """ # lazy load to avoid circular import fixest_module = import_module("pyfixest.estimation") - feols = getattr(fixest_module, "feols") + feols = fixest_module.feols # initialize separation_na: set[int] = set() tmp_suffix = "_separationTmp" diff --git a/pyfixest/report/summarize.py b/pyfixest/report/summarize.py index 48edd500..569110b2 100644 --- a/pyfixest/report/summarize.py +++ b/pyfixest/report/summarize.py @@ -17,7 +17,7 @@ def etable( models: Union[list[Union[Feols, Fepois, Feiv]], FixestMulti], type: str = "gt", - signif_code: list = [0.001, 0.01, 0.05], + signif_code: Optional[list] = None, coef_fmt: str = "b \n (se)", custom_stats: Optional[dict] = None, keep: Optional[Union[list, str]] = None, @@ -46,7 +46,7 @@ def etable( Type of output. Either "df" for pandas DataFrame, "md" for markdown, "gt" for great_tables, or "tex" for LaTeX table. Default is "gt". signif_code : list, optional - Significance levels for the stars. Default is [0.001, 0.01, 0.05]. + Significance levels for the stars. Default is None, which sets [0.001, 0.01, 0.05]. If None, no stars are printed. coef_fmt : str, optional The format of the coefficient (b), standard error (se), t-stats (t), and @@ -118,8 +118,10 @@ def etable( A styled DataFrame with the coefficients and standard errors of the models. When output is "tex", the LaTeX code is returned as a string. """ # noqa: D301 + if signif_code is None: + signif_code = [0.001, 0.01, 0.05] assert ( - isinstance([0.1, 0.2, 0.3], list) and len(signif_code) == 3 + isinstance(signif_code, list) and len(signif_code) == 3 ), "signif_code must be a list of length 3" if signif_code: assert all( @@ -207,7 +209,7 @@ def etable( interactionSymbol = " x " R2code = "R2" - for i, model in enumerate(models): + for model in models: dep_var_list.append(model._depvar) n_coefs.append(len(model._coefnames)) @@ -865,7 +867,7 @@ def make_table( # When there are row groups then insert midrules and groupname if row_levels > 1 and len(row_groups) > 1: # Insert a midrule after each row group - for i, row_group in enumerate(row_groups): + for i in range(len(row_groups)): if rgroup_display: # Insert a line with the row group name & same space around it # lines.insert(line_at+1, "\\addlinespace") @@ -1143,12 +1145,12 @@ def _format_mean_std( def dtable( df: pd.DataFrame, vars: list, - stats: list = ["count", "mean", "std"], + stats: Optional[list] = None, bycol: Optional[list[str]] = None, byrow: Optional[str] = None, type: str = "gt", - labels: dict = {}, - stats_labels: dict = {}, + labels: dict | None = None, + stats_labels: dict | None = None, digits: int = 2, notes: str = "", counts_row_below: bool = False, @@ -1166,7 +1168,7 @@ def dtable( vars : list List of variables to be included in the table. stats : list, optional - List of statistics to be calculated. The default is ['count','mean', 'std']. + List of statistics to be calculated. The default is None, that sets ['count','mean', 'std']. All pandas aggregation functions are supported. bycol : list, optional List of variables to be used to group the data by columns. The default is None. @@ -1200,6 +1202,12 @@ def dtable( ------- A table in the specified format. """ + if stats is None: + stats = ["count", "mean", "std"] + if labels is None: + labels = {} + if stats_labels is None: + stats_labels = {} assert isinstance(df, pd.DataFrame), "df must be a pandas DataFrame." assert all( pd.api.types.is_numeric_dtype(df[var]) for var in vars diff --git a/pyfixest/utils/dgps.py b/pyfixest/utils/dgps.py index cb3df973..0adc7bed 100644 --- a/pyfixest/utils/dgps.py +++ b/pyfixest/utils/dgps.py @@ -157,8 +157,8 @@ def get_sharkfin( def get_panel_dgp_stagg( num_units=1_000, num_periods=30, - num_treated=[250, 500, 150], - treatment_start_cohorts=[10, 15, 20], + num_treated=None, + treatment_start_cohorts=None, sigma_unit=1, sigma_time=0.5, sigma_epsilon=0.2, @@ -168,6 +168,10 @@ def get_panel_dgp_stagg( ar_coef=0.8, ): """Panel DGP with staggered treatment effects and effect heterogeneity.""" + if num_treated is None: + num_treated = [250, 500, 150] + if treatment_start_cohorts is None: + treatment_start_cohorts = [10, 15, 20] if base_treatment_effects is None: # Cohort 1: mean reversal: big bump that decays to zero within 10 days, then zero # Cohort 2: shark-fin - logarithmic for the first week, then 0 diff --git a/pyproject.toml b/pyproject.toml index c00503f9..bbe73556 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,7 +37,8 @@ dev = [ "pyarrow>=14.0.0", "pre-commit==3.6.0", "doubleml==0.7.1", - "wildboottest>=0.3.2", "ipykernel>=6.29.5,<7", + "wildboottest>=0.3.2", + "ipykernel>=6.29.5,<7", ] docs = [ @@ -126,6 +127,7 @@ target-version = "py39" [tool.ruff.lint] # docs: https://docs.astral.sh/ruff/rules/ select = [ + "B", # bugbear "F", # Pyflakes "E", # pycodestyle errors "W", # pycodestyle warnings @@ -139,6 +141,8 @@ select = [ ignore = [ # do not enable if formatting # docs: https://docs.astral.sh/ruff/formatter/#conflicting-lint-rules + "B028", # No explicit `stacklevel` keyword argument found + "B904", # Better exception handling "W191", # tab indentation "E111", # indentation "E114", # indentation