Error for Int64Dtype column: "The 'reduce' method is not supported."

Thank you for creating this very useful library!

Describe the bug

I experience an error when using Pandas Profiling with a data frame containing a Int64Dtype() column with at least 5 rows.

To Reproduce

Create a file example.py with this code:

"""
Test for issue 502:
https://github.com/pandas-profiling/pandas-profiling/issues/502
"""
import numpy as np
import pandas as pd
from pandas_profiling import ProfileReport

df = pd.DataFrame({
    'a': [1, 2, 3, 4, 5]
}, dtype=pd.Int64Dtype())

profile = ProfileReport(df, title='Pandas Profiling Report', explorative=True)
profile.to_file("your_report.html")

Run from the command line with python example.py. Output:

Summarize dataset:   0%|                                 | 0/15 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "example.py", line 10, in <module>
    profile.to_file("your_report.html")
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas_profiling/profile_report.py", line 245, in to_file
    data = self.to_html()
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas_profiling/profile_report.py", line 348, in to_html
    return self.html
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas_profiling/profile_report.py", line 168, in html
    self._html = self._render_html()
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas_profiling/profile_report.py", line 275, in _render_html
    report = self.report
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas_profiling/profile_report.py", line 162, in report
    self._report = get_report_structure(self.description_set)
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas_profiling/profile_report.py", line 143, in description_set
    self._description_set = describe_df(self.title, self.df)
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas_profiling/model/describe.py", line 63, in describe
    series_description = get_series_descriptions(df, pbar)
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas_profiling/model/summary.py", line 473, in get_series_descriptions
    executor.imap_unordered(multiprocess_1d, args)
  File "/usr/lib/python3.6/multiprocessing/pool.py", line 735, in next
    raise value
  File "/usr/lib/python3.6/multiprocessing/pool.py", line 119, in worker
    result = (True, func(*args, **kwds))
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas_profiling/model/summary.py", line 450, in multiprocess_1d
    return column, describe_1d(series)
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas_profiling/model/summary.py", line 419, in describe_1d
    type_to_func[series_description["type"]](series, series_description)
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas_profiling/model/summary.py", line 151, in describe_numeric_1d
    "min": np.min(present_values),
  File "<__array_function__ internals>", line 6, in amin
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 2831, in amin
    keepdims=keepdims, initial=initial, where=where)
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 87, in _wrapreduction
    return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
  File "/home/ac/projects/python/profiling/env/lib/python3.6/site-packages/pandas/core/arrays/integer.py", line 372, in __array_ufunc__
    raise NotImplementedError("The 'reduce' method is not supported.")
NotImplementedError: The 'reduce' method is not supported.

Version information:

• Python version: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
• Environment: Where do you run the code? Command line
• pip: If you are using pip, run pip freeze in your environment and report the results. The list of packages can be rather long, you can use the snippet below to collapse the output.

Click to expand Version information

astropy==4.0.1.post1
attrs==19.3.0
backcall==0.2.0
bleach==3.1.5
certifi==2020.6.20
chardet==3.0.4
confuse==1.1.0
cycler==0.10.0
decorator==4.4.2
defusedxml==0.6.0
entrypoints==0.3
htmlmin==0.1.12
idna==2.9
ImageHash==4.1.0
importlib-metadata==1.6.1
ipykernel==5.3.0
ipython==7.15.0
ipython-genutils==0.2.0
ipywidgets==7.5.1
jedi==0.17.1
Jinja2==2.11.2
joblib==0.15.1
jsonschema==3.2.0
jupyter-client==6.1.3
jupyter-core==4.6.3
kiwisolver==1.2.0
llvmlite==0.33.0
MarkupSafe==1.1.1
matplotlib==3.2.2
missingno==0.4.2
mistune==0.8.4
nbconvert==5.6.1
nbformat==5.0.7
networkx==2.4
notebook==6.0.3
numba==0.50.0
numpy==1.19.0
packaging==20.4
pandas==1.0.5
pandas-profiling==2.8.0
pandocfilters==1.4.2
parso==0.7.0
pexpect==4.8.0
phik==0.10.0
pickleshare==0.7.5
Pillow==7.1.2
pkg-resources==0.0.0
prometheus-client==0.8.0
prompt-toolkit==3.0.5
ptyprocess==0.6.0
Pygments==2.6.1
pyparsing==2.4.7
pyrsistent==0.16.0
python-dateutil==2.8.1
pytz==2020.1
PyWavelets==1.1.1
PyYAML==5.3.1
pyzmq==19.0.1
requests==2.24.0
scipy==1.5.0
seaborn==0.10.1
Send2Trash==1.5.0
six==1.15.0
tangled-up-in-unicode==0.0.6
terminado==0.8.3
testpath==0.4.4
tornado==6.0.4
tqdm==4.46.1
traitlets==4.3.3
urllib3==1.25.9
visions==0.4.4
wcwidth==0.2.5
webencodings==0.5.1
widgetsnbextension==3.5.1
zipp==3.1.0

Additional context

Having at least 5 rows seems to be required for the error to occur. This code will run WITHOUT ERROR:

import numpy as np
import pandas as pd
from pandas_profiling import ProfileReport

df = pd.DataFrame({
    'a': [1, 2, 3, 4] # no 5
}, dtype=pd.Int64Dtype())

profile = ProfileReport(df, title='Pandas Profiling Report', explorative=True)
profile.to_file("your_report.html")

Thank you!

[andycraig]

I installed it in via pip using that command and tried running the code from the bug report. It ran without error and generated the HTML output as expected. I believe the issue is solved now.

Thank you very much!

[sbrugman]

Seems that this error was introduced by the changes for the enhanced performance of summarization of numeric series. I’ve pushed a workaround to revert this for pandas’ nullable integers. Will be in the next release.