10000 PERF: ensure_string_array with non-numpy input array by topper-123 · Pull Request #37371 · pandas-dev/pandas · GitHub
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PERF: ensure_string_array with non-numpy input array #37371

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Merged
merged 7 commits into from
Oct 26, 2020
Merged

PERF: ensure_string_array with non-numpy input array #37371

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1cd53fa
REGR/PERF: Index.is_
topper-123 Oct 25, 2020
986f97a
Merge branch 'master' of https://github.com/pandas-dev/pandas
topper-123 Oct 26, 2020
a0c1ec0
PERF: ensure_string_array with non-numpy input array
topper-123 Oct 23, 2020
7b4928c
fix conversion of nan to string
topper-123 Oct 23, 2020
f28792d
fix conversion
topper-123 Oct 24, 2020
3262d8f
add whatsnew, ASVs
topper-123 Oct 24, 2020
d9f8e6e
is_extension_dtype -> hasattr
topper-123 Oct 26, 2020
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is_extension_dtype -> hasattr
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@topper-123
topper-123 committed Oct 26, 2020
commit d9f8e6e044c4dca4019bca5b287262c96f71e901
6 changes: 2 additions & 4 deletions pandas/_libs/lib.pyx
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Expand Up @@ -651,12 +651,10 @@ cpdef ndarray[object] ensure_string_array(
cdef:
Py_ssize_t i = 0, n = len(arr)

from pandas.core.dtypes.common import is_extension_array_dtype

if is_extension_array_dtype(arr):
if hasattr(arr, "to_numpy"):
arr = arr.to_numpy()
elif not isinstance(arr, np.ndarray):
arr = np.array(arr, dtype=object)
arr = np.array(arr, dtype="object")
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this should probably be asarray

not a big deal, but my preference would have been to type the input arr as an ndarray and handle non-ndarray in the calling function


result = np.asarray(arr, dtype="object")

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