[X] I have checked that this issue has not already been reported.
[X] I have confirmed this bug exists on the latest version of pandas.
[X] (optional) I have confirmed this bug exists on the master branch of pandas.
import pandas as pd
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]})
pd.crosstab(index=df.C,
columns=[df.A,df.B],
margins=True,
margins_name='Sub-Total',
normalize='all')
# returns ValueError: Sub-Total not in pivoted DataFrame
pd.crosstab failed when margins and normalize 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.
pd.show_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]
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 pip install [email protected]:pandas-dev/pandas.git will do the trick i think.
@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:
I couldn't install using your suggested pip command. When I do pip install [email protected]:pandas-dev/pandas.git I just get
$ pip install [email protected]: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.
I couldn't install
Sorry i use an SSH key to communicate with github. You probably would have succeeded with https://github.com/pandas-dev/pandas.git instead as it relies on https instead of ssh.
glad you got it working