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CLN: no need to broadcast axes for ndim<=2 (pytables) #30019

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Merged
jreback merged 2 commits into from
Dec 4, 2019
Merged

CLN: no need to broadcast axes for ndim<=2 (pytables) #30019

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CLN: no need to broadcast axes for ndim<=2
jbrockmendel Dec 3, 2019
b61ae06
Merge branch 'master' of https://github.com/pandas-dev/pandas into cl…
jbrockmendel Dec 4, 2019
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18 changes: 2 additions & 16 deletions pandas/io/pytables.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4232,21 +4232,7 @@ def write_data(self, chunksize: Optional[int], dropna: bool = False):
# broadcast the indexes if needed
indexes = [a.cvalues for a in self.index_axes]
nindexes = len(indexes)
bindexes = []
for i, idx in enumerate(indexes):

# broadcast to all other indexes except myself
if i > 0 and i < nindexes:
repeater = np.prod([indexes[bi].shape[0] for bi in range(0, i)])
idx = np.tile(idx, repeater)

if i < nindexes - 1:
repeater = np.prod(
[indexes[bi].shape[0] for bi in range(i + 1, nindexes)]
)
idx = np.repeat(idx, repeater)

bindexes.append(idx)
assert nindexes == 1, nindexes # ensures we dont need to broadcast

# transpose the values so first dimension is last
# reshape the values if needed
Expand All @@ -4271,7 +4257,7 @@ def write_data(self, chunksize: Optional[int], dropna: bool = False):

self.write_data_chunk(
rows,
indexes=[a[start_i:end_i] for a in bindexes],
indexes=[a[start_i:end_i] for a in indexes],
mask=mask[start_i:end_i] if mask is not None else None,
values=[v[start_i:end_i] for v in bvalues],
)
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