1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
|
--- contrib/python/pyarrow/pyarrow/pandas_compat.py (index)
+++ contrib/python/pyarrow/pyarrow/pandas_compat.py (working tree)
@@ -30,6 +30,7 @@ import re
import warnings
import numpy as np
+from numpy.core.numerictypes import sctypes as _np_sctypes
import pyarrow as pa
from pyarrow.lib import _pandas_api, builtin_pickle, frombytes # noqa
@@ -97,7 +98,7 @@ _numpy_logical_type_map = {
np.float32: 'float32',
np.float64: 'float64',
'datetime64[D]': 'date',
- np.unicode_: 'string',
+ np.str_: 'string',
np.bytes_: 'bytes',
}
@@ -796,7 +797,7 @@ def table_to_blockmanager(options, table, categories=None,
# dataframe (complex not included since not supported by Arrow)
_pandas_supported_numpy_types = {
str(np.dtype(typ))
- for typ in (np.sctypes['int'] + np.sctypes['uint'] + np.sctypes['float'] +
+ for typ in (_np_sctypes['int'] + _np_sctypes['uint'] + _np_sctypes['float'] +
['object', 'bool'])
}
@@ -1021,7 +1022,7 @@ def _is_generated_index_name(name):
_pandas_logical_type_map = {
'date': 'datetime64[D]',
'datetime': 'datetime64[ns]',
- 'unicode': np.unicode_,
+ 'unicode': np.str_,
'bytes': np.bytes_,
'string': np.str_,
'integer': np.int64,
|
