We currently expose all of the following items from pandas.core.api via the API:
from pandas.core.api import (
# dtype
Int8Dtype, Int16Dtype, Int32Dtype, Int64Dtype, UInt8Dtype,
UInt16Dtype, UInt32Dtype, UInt64Dtype, CategoricalDtype,
PeriodDtype, IntervalDtype, DatetimeTZDtype,
# missing
isna, isnull, notna, notnull,
# indexes
Index, CategoricalIndex, Int64Index, UInt64Index, RangeIndex,
Float64Index, MultiIndex, IntervalIndex, TimedeltaIndex,
DatetimeIndex, PeriodIndex, IndexSlice,
# tseries
NaT, Period, period_range, Timedelta, timedelta_range,
Timestamp, date_range, bdate_range, Interval, interval_range,
DateOffset,
# conversion
to_numeric, to_datetime, to_timedelta,
# misc
np, Grouper, factorize, unique, value_counts, NamedAgg,
array, Categorical, set_eng_float_format, Series, DataFrame,
Panel)
A pseudo-prioritized list of annotations I think we need out of this would be the below. Open to suggestions on how to prioritize and obviously community PRs are very welcome!
...
These don't necessarily need to be completed in order. Will continue to expand checklist as we tackle more items so if you see something you'd like to tackle feel free to call it out
vinceatbluelabs and Ddedalus
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