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BUG: pd.crosstab fails when passed multiple columns, margins True and normalize True #35144
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this still exists on the latest version. |
take |
I am seeing the same issue given the version below. Same error as og: In [1]: import pandas as pd
In [2]: df = pd.DataFrame({"A": ["foo", "foo", "foo", "foo", "foo",
...: "bar", "bar", "bar", "bar"],
...: "B": ["one", "one", "one", "two", "two",
...: "one", "one", "two", "two"],
...: "C": ["small", "large", "large", "small",
...: "small", "large", "small", "small",
...: "large"],
...: "D": [1, 2, 2, 3, 3, 4, 5, 6, 7],
...: "E": [2, 4, 5, 5, 6, 6, 8, 9, 9]})
In [3]: pd.crosstab(index=df.C,
...: columns=[df.A,df.B],
...: margins=True,
...: margins_name='Sub-Total',
...: normalize='all')
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-3-8e93d08650b4> in <module>
3 margins=True,
4 margins_name='Sub-Total',
----> 5 normalize='all')
...
ValueError: Sub-Total not in pivoted DataFrame
In [4]: pd.show_versions()
INSTALLED VERSIONS
------------------
commit : db08276bc116c438d3fdee492026f8223584c477
python : 3.7.9.final.0
python-bits : 64
OS : Darwin
OS-release : 18.7.0
Version : Darwin Kernel Version 18.7.0: Mon Feb 10 21:08:45 PST 2020; root:xnu-4903.278.28~1/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.1.3
numpy : 1.19.2
pytz : 2020.1
dateutil : 2.8.1
pip : 20.2.4
setuptools : 50.3.1.post20201107
Cython : None
pytest : 6.1.1
hypothesis : 5.37.4
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : 7.18.1
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : 3.3.2
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
pyxlsb : None
s3fs : None
scipy : 1.5.2
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : 0.51.2 |
Hi @bdatko looks like you have pandas 1.1.3 installed. The PR closechoice made to fix this issue was merged into 1.2. I believe if you install from github instead of pypi or a conda source you can include that code. for instance |
@HughKelley Thank you for the information. Reviewing the the 1.2.0 release notes under reshaping the bug was indeed fixed. I installed pandas 1.2.0 from Github using pip install git+https://github.com/pandas-dev/pandas and the og's example works as expected. =D A side note: $ pip install git@github.com:pandas-dev/pandas.git
ERROR: Invalid requirement: '[email protected]:pandas-dev/pandas.git'
Hint: It looks like a path. File '[email protected]:pandas-dev/pandas.git' does not exist. |
Sorry i use an SSH key to communicate with github. You probably would have succeeded with glad you got it working |
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
(optional) I have confirmed this bug exists on the master branch of pandas.
Code Sample, a copy-pastable example
Problem description
#27663 found that
pd.crosstab
failed whenmargins
andnormalize
were true. This continues to be the case when more than one column is passed.This is not the case when a single column and multiple rows is passed.
Output of
pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.7.final.0
python-bits : 64
OS : Windows
OS-release : 10
machine : AMD64
processor : Intel64 Family 6 Model 142 Stepping 9, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None
pandas : 1.0.3
numpy : 1.18.1
pytz : 2020.1
dateutil : 2.8.1
pip : 20.0.2
setuptools : 47.1.1.post20200604
Cython : None
pytest : None
hypothesis : None
sphinx : 3.1.1
blosc : None
feather : None
xlsxwriter : 1.2.9
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : 2.8.4 (dt dec pq3 ext lo64)
jinja2 : 2.11.2
IPython : 7.13.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : 3.1.3
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
pytest : None
pyxlsb : None
s3fs : None
scipy : 1.4.1
sqlalchemy : 1.3.17
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : 1.2.9
numba : None
[paste the output of
pd.show_versions()
here leaving a blank line after the details tag]The text was updated successfully, but these errors were encountered: