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BUG: ValueError in Series.divmod #25557

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danielplawrence opened this issue Mar 5, 2019 · 1 comment

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@danielplawrence
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commented Mar 5, 2019

Code Sample, a copy-pastable example if possible

import pandas as pd
import numpy as np
a = pd.Series([1, 1, 1, np.nan], index=['a', 'b', 'c', 'd'])
b = pd.Series([1, np.nan, 1, np.nan], index=['a', 'b', 'd', 'e'])

##Working:
divmod(a,b)

##Fails:
a.divmod(b)

Problem description

divmod(series_a,series_b) works as expected, but series_a.divmod(b) returns the following error:

>>> a.divmod(b)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/danlaw/Projects/pandas/pandas/core/ops.py", line 1892, in flex_wrapper
    return self._binop(other, op, level=level, fill_value=fill_value)
  File "/Users/danlaw/Projects/pandas/pandas/core/series.py", line 2522, in _binop
    result = self._constructor(result, index=new_index, name=name)
  File "/Users/danlaw/Projects/pandas/pandas/core/series.py", line 250, in __init__
    .format(val=len(data), ind=len(index)))
ValueError: Length of passed values is 2, index implies 4

Expected Output

(a    0.0
b    0.0
c    NaN
d    NaN
e    NaN
dtype: float64, a    1.0
b    1.0
c    NaN
d    NaN
e    NaN
dtype: float64)

Output of pd.show_versions()

commit: 221be3b python: 3.7.2.final.0 python-bits: 64 OS: Darwin OS-release: 16.7.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8

pandas: 0.25.0.dev0+200.g221be3b4a
pytest: 4.3.0
pip: 19.0.3
setuptools: 40.8.0
Cython: 0.29.5
numpy: 1.16.2
scipy: 1.2.1
pyarrow: 0.11.1
xarray: 0.11.3
IPython: 7.3.0
sphinx: 1.8.4
patsy: 0.5.1
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.9
feather: None
matplotlib: 3.0.2
openpyxl: 2.6.0
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.5
lxml.etree: 4.3.1
bs4: 4.7.1
html5lib: 1.0.1
sqlalchemy: 1.2.18
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: 0.2.0
fastparquet: 0.2.1
pandas_gbq: None
pandas_datareader: None
gcsfs: None

@sighingnow

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commented Mar 7, 2019

I will look at this issue.

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