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Is your feature request related to a problem? Please describe.
Pandas-2.0 is slated for release soon. This is a feature request to enable cudf to work with pandas-2.0
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Is your feature request related to a problem? Please describe.
Pandas-2.0 is slated for release soon. This is a feature request to enable
cudf
to work withpandas-2.0
Tasks
na_sentinel
infactorize
#12817datetime_is_numeric
fromdescribe
#12818Index.is_*
methods #12820inplace
parameters in categorical methods #12824names
&dtype
inIndex.copy
#12825value_counts
behavior to matchpandas-2.x
#12835DataFrame.append
andSeries.append
#12839numeric_only=True
for non-numeric Series #12843inplace
parameter in categorical methods #12846numeric_only
behavior in reduction APIs #12847is_monotonic
fromSeries
andIndex
#12853kind
parameter fromIndex.get_slice_bound
#12856names
,dtype
inIndex.copy
anddtype
,levels
,codes
inMultiIndex.copy
#12898line_terminator
in favor oflineterminator
into_csv
#12896datetime_is_numeric
parameter fromdescribe
#12890Index.is_*
method deprecation #12909na_sentinel
fromfactorize
#12924pandas-2.0
#13083numeric_only
for row-wise ops #13090MultiIndex
as column construction withpandas-2.0
#13092DataFrame
andSeries
objects #13138DataFrame.__getitem__
to work withpandas-2.0
#13139no_default
and adaptSeries.reset_index
to differentiateNone
forname
parameter #13152is_string_dtype
to adapt topandas-2.0
changes #13141pad
andbackfill
inGroupBy
#13156pad
andbackfill
#13168dtype
forget_dummies
tobool
#13174datetime64
related inconsistencies in pytests #13175DataFrame.pivot
#13190DataFrame.describe
pytests #13191Index
class deprecation enforcements #13204kurtosis
pytests to supportnumeric_only
parameter #13217ceil
,floor
&round
pytests to supportpandas-2.0+
#13218StringIndex
and useIndex
instead #13361dtype
parameter inget_dummies
#13365date_format='mixed'
#13417Groupby.nth
#13442Groupby.dtypes
#13453get_indexer
toIndex
and enforceget_loc
deprecations #13234min_periods
forRolling.count
#13483numeric_only
#13496sort=True
forIndex.union
,Index.difference
andIndex.intersection
#13497DataFrame.mode
pytest #13500mode.pandas_compatible=True
#13505dask_cudf
pytest failures forpandas-2.0
upgrade #13548is_categorical_dtype
#14274is_datetime64tz_dtype
andis_interval_dtype
#14275fill_method
andlimit
inpct_change
APIs #14277PandasArray
withNumpyExtensionArray
#14549Series.value_counts
#14550ColumnAccessor
#14551to_pandas
calls in pytests #14552Index.to_frame
deprecations #14553ffill
andbfill
APIs #14554is_categorical_dtype
tocudf.api.types
namespace #14555Index.difference
#14556DataFrame.applymap
and usemap
instead #14579first
andlast
#14583is_.._dtype
deprecations toDeprecationWarning
instead ofFutureWarning
#14617cudf.read_json
#14619DataFrame.sort_index
when a index is aMultiIndex
#14621CategoricalDtype
#14622DataFrame.stack
#14626Series.__getitem__
#14654read_orc
#14666method
ininterpolate
and calculation onobject
dtype #14667MultiIndex.to_frame
#14671concat
#14672datetime
related assertions and warnings in pytests #14673Index.difference
&union
results for early exit scenarios #14681concat
pytests #14682where
pytest #14683string
fromfloat64
#14691Dataframe.agg
to not return incorrect dtypes #14851dtype
in dataframe constructor #14878any
andall
only for all-NA
and empty string columns #14898non-string
columns pandas-compatibility mode only #14899method
inreplace
and warn for a specific combination ofvalue
andto_replace
#14900dask_cudf
pytests #14914custreamz
pytests to test onfloat64
types #14925The text was updated successfully, but these errors were encountered: