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PERF: postpone imports in Index constructor #31423

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Jan 29, 2020
Merged

PERF: postpone imports in Index constructor #31423

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PERF: postpone imports in Index constructor
jorisvandenbossche Jan 29, 2020
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TomAugspurger Jan 29, 2020
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20 changes: 16 additions & 4 deletions pandas/core/indexes/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -277,10 +277,6 @@ def __new__(
) -> "Index":

from pandas.core.indexes.range import RangeIndex
from pandas import PeriodIndex, DatetimeIndex, TimedeltaIndex
from pandas.core.indexes.numeric import Float64Index, Int64Index, UInt64Index
from pandas.core.indexes.interval import IntervalIndex
from pandas.core.indexes.category import CategoricalIndex

name = maybe_extract_name(name, data, cls)

Expand All @@ -296,10 +292,14 @@ def __new__(

# categorical
elif is_categorical_dtype(data) or is_categorical_dtype(dtype):
from pandas.core.indexes.category import CategoricalIndex

return CategoricalIndex(data, dtype=dtype, copy=copy, name=name, **kwargs)

# interval
elif is_interval_dtype(data) or is_interval_dtype(dtype):
from pandas.core.indexes.interval import IntervalIndex

closed = kwargs.pop("closed", None)
if is_dtype_equal(_o_dtype, dtype):
return IntervalIndex(
Expand All @@ -314,6 +314,8 @@ def __new__(
or is_datetime64_any_dtype(dtype)
or "tz" in kwargs
):
from pandas import DatetimeIndex

if is_dtype_equal(_o_dtype, dtype):
# GH#23524 passing `dtype=object` to DatetimeIndex is invalid,
# will raise in the where `data` is already tz-aware. So
Expand All @@ -328,6 +330,8 @@ def __new__(
return DatetimeIndex(data, copy=copy, name=name, dtype=dtype, **kwargs)

elif is_timedelta64_dtype(data) or is_timedelta64_dtype(dtype):
from pandas import TimedeltaIndex

if is_dtype_equal(_o_dtype, dtype):
# Note we can pass copy=False because the .astype below
# will always make a copy
Expand All @@ -338,6 +342,8 @@ def __new__(
return TimedeltaIndex(data, copy=copy, name=name, dtype=dtype, **kwargs)

elif is_period_dtype(data) or is_period_dtype(dtype):
from pandas import PeriodIndex

if is_dtype_equal(_o_dtype, dtype):
return PeriodIndex(data, copy=False, name=name, **kwargs).astype(object)
return PeriodIndex(data, dtype=dtype, copy=copy, name=name, **kwargs)
Expand All @@ -357,6 +363,12 @@ def __new__(

# index-like
elif isinstance(data, (np.ndarray, Index, ABCSeries)):
from pandas.core.indexes.numeric import (
Float64Index,
Int64Index,
UInt64Index,
)

if dtype is not None:
# we need to avoid having numpy coerce
# things that look like ints/floats to ints unless
Expand Down