done

2025-09-07 22:09:54 +02:00
parent e1b817252c
commit 2fc0d000b6
7796 changed files with 2159515 additions and 933 deletions
--- a/lib/python3.11/site-packages/pandas-stubs/init.pyi
+++ b/lib/python3.11/site-packages/pandas-stubs/init.pyi
@ -0,0 +1,127 @@
+from pandas import (
+    api as api,
+    arrays as arrays,
+    errors as errors,
+    io as io,
+    plotting as plotting,
+    testing as testing,
+    tseries as tseries,
+    util as util,
+)
+from pandas.core.api import (
+    NA as NA,
+    ArrowDtype as ArrowDtype,
+    BooleanDtype as BooleanDtype,
+    Categorical as Categorical,
+    CategoricalDtype as CategoricalDtype,
+    CategoricalIndex as CategoricalIndex,
+    DataFrame as DataFrame,
+    DateOffset as DateOffset,
+    DatetimeIndex as DatetimeIndex,
+    DatetimeTZDtype as DatetimeTZDtype,
+    Float32Dtype as Float32Dtype,
+    Float64Dtype as Float64Dtype,
+    Grouper as Grouper,
+    Index as Index,
+    IndexSlice as IndexSlice,
+    Int8Dtype as Int8Dtype,
+    Int16Dtype as Int16Dtype,
+    Int32Dtype as Int32Dtype,
+    Int64Dtype as Int64Dtype,
+    Interval as Interval,
+    IntervalDtype as IntervalDtype,
+    IntervalIndex as IntervalIndex,
+    MultiIndex as MultiIndex,
+    NamedAgg as NamedAgg,
+    NaT as NaT,
+    Period as Period,
+    PeriodDtype as PeriodDtype,
+    PeriodIndex as PeriodIndex,
+    RangeIndex as RangeIndex,
+    Series as Series,
+    StringDtype as StringDtype,
+    Timedelta as Timedelta,
+    TimedeltaIndex as TimedeltaIndex,
+    Timestamp as Timestamp,
+    UInt8Dtype as UInt8Dtype,
+    UInt16Dtype as UInt16Dtype,
+    UInt32Dtype as UInt32Dtype,
+    UInt64Dtype as UInt64Dtype,
+    array as array,
+    bdate_range as bdate_range,
+    date_range as date_range,
+    factorize as factorize,
+    interval_range as interval_range,
+    isna as isna,
+    isnull as isnull,
+    notna as notna,
+    notnull as notnull,
+    period_range as period_range,
+    set_eng_float_format as set_eng_float_format,
+    timedelta_range as timedelta_range,
+    to_datetime as to_datetime,
+    to_numeric as to_numeric,
+    to_timedelta as to_timedelta,
+    unique as unique,
+    value_counts as value_counts,
+)
+from pandas.core.arrays.sparse import SparseDtype as SparseDtype
+from pandas.core.computation.api import eval as eval
+from pandas.core.reshape.api import (
+    concat as concat,
+    crosstab as crosstab,
+    cut as cut,
+    from_dummies as from_dummies,
+    get_dummies as get_dummies,
+    lreshape as lreshape,
+    melt as melt,
+    merge as merge,
+    merge_asof as merge_asof,
+    merge_ordered as merge_ordered,
+    pivot as pivot,
+    pivot_table as pivot_table,
+    qcut as qcut,
+    wide_to_long as wide_to_long,
+)
+
+from pandas._config import (
+    describe_option as describe_option,
+    get_option as get_option,
+    option_context as option_context,
+    options as options,
+    reset_option as reset_option,
+    set_option as set_option,
+)
+
+from pandas.util._print_versions import show_versions as show_versions
+from pandas.util._tester import test as test
+
+from pandas.io.api import (
+    ExcelFile as ExcelFile,
+    ExcelWriter as ExcelWriter,
+    HDFStore as HDFStore,
+    read_clipboard as read_clipboard,
+    read_csv as read_csv,
+    read_excel as read_excel,
+    read_feather as read_feather,
+    read_fwf as read_fwf,
+    read_hdf as read_hdf,
+    read_html as read_html,
+    read_json as read_json,
+    read_orc as read_orc,
+    read_parquet as read_parquet,
+    read_pickle as read_pickle,
+    read_sas as read_sas,
+    read_spss as read_spss,
+    read_sql as read_sql,
+    read_sql_query as read_sql_query,
+    read_sql_table as read_sql_table,
+    read_stata as read_stata,
+    read_table as read_table,
+    read_xml as read_xml,
+)
+from pandas.io.json._normalize import json_normalize as json_normalize
+from pandas.tseries import offsets as offsets
+from pandas.tseries.api import infer_freq as infer_freq
+
+__version__: str