Importation error

[ierezell]

I tried to import pandas_ml but it gave the error :

AttributeError: type object 'NDFrame' has no attribute 'groupby'

I'm running python3.8.1 and I installed pandas_ml via pip (version 20.0.2)

I dig in the code, error is l.80 of file series.py

@Appender(pd.core.generic.NDFrame.groupby.__doc__)

Here pandas is imported at the top of the file with a classic import pandas as pd

I guess there is a problem with the versions...

Thanks in advance for any help

[DunaiFuentes]

Likely an issue with the version of pandas. Version 0.24.2 works for me.

[elcolie]

I put constraint to requirements.in for workaround solution

pandas==0.24.2
pandas-ml
scikit-learn==0.20.0

And pip-compile to get full requirements.txt

appnope==0.1.2            # via ipykernel, ipython
argon2-cffi==20.1.0       # via notebook
argparse==1.4.0           # via -r requirements.in
arrow==0.17.0             # via -r requirements.in
async-generator==1.10     # via nbclient
attrs==20.3.0             # via jsonschema
backcall==0.2.0           # via ipython
bleach==3.2.1             # via nbconvert
certifi==2020.12.5        # via kaggle, requests
cffi==1.14.4              # via argon2-cffi
chardet==4.0.0            # via requests
click==7.1.2              # via nltk
cycler==0.10.0            # via matplotlib
decorator==4.4.2          # via ipython
defusedxml==0.6.0         # via nbconvert
entrypoints==0.3          # via nbconvert
enum34==1.1.10            # via pandas-ml
idna==2.10                # via requests
importlib-metadata==3.3.0  # via jsonschema
ipdb==0.13.4              # via -r requirements.in
ipykernel==5.4.2          # via ipywidgets, jupyter, jupyter-console, notebook, qtconsole
ipython-genutils==0.2.0   # via nbformat, notebook, qtconsole, traitlets
ipython==7.19.0           # via -r requirements.in, ipdb, ipykernel, ipywidgets, jupyter-console
ipywidgets==7.5.1         # via jupyter
jedi==0.17.2              # via ipython
jinja2==2.11.2            # via nbconvert, notebook
joblib==1.0.0             # via nltk
jsonschema==3.2.0         # via nbformat
jupyter-client==6.1.7     # via ipykernel, jupyter-console, nbclient, notebook, qtconsole
jupyter-console==6.2.0    # via jupyter
jupyter-core==4.7.0       # via jupyter-client, nbconvert, nbformat, notebook, qtconsole
jupyter==1.0.0            # via -r requirements.in
jupyterlab-pygments==0.1.2  # via nbconvert
kaggle==1.5.10            # via -r requirements.in
kiwisolver==1.3.1         # via matplotlib
markupsafe==1.1.1         # via jinja2
marshmallow==3.10.0       # via -r requirements.in
matplotlib==3.3.3         # via -r requirements.in
mistune==0.8.4            # via nbconvert
nbclient==0.5.1           # via nbconvert
nbconvert==6.0.7          # via jupyter, notebook
nbformat==5.0.8           # via ipywidgets, nbclient, nbconvert, notebook
nest-asyncio==1.4.3       # via nbclient
nltk==3.5                 # via -r requirements.in
notebook==6.1.5           # via jupyter, widgetsnbextension
numpy==1.19.4             # via -r requirements.in, matplotlib, pandas, scikit-learn, scipy, torch, torchvision
packaging==20.8           # via bleach
pandas-ml==0.6.1          # via -r requirements.in
pandas==0.24.2            # via -r requirements.in, pandas-ml
pandocfilters==1.4.3      # via nbconvert
parso==0.7.1              # via jedi
pexpect==4.8.0            # via ipython
pickleshare==0.7.5        # via ipython
pillow==8.0.1             # via -r requirements.in, matplotlib, torchvision
prometheus-client==0.9.0  # via notebook
prompt-toolkit==3.0.8     # via ipython, jupyter-console
ptyprocess==0.6.0         # via pexpect, terminado
pycparser==2.20           # via cffi
pygments==2.7.3           # via ipython, jupyter-console, jupyterlab-pygments, nbconvert, qtconsole
pyparsing==2.4.7          # via matplotlib, packaging
pyrsistent==0.17.3        # via jsonschema
python-dateutil==2.8.1    # via arrow, jupyter-client, kaggle, matplotlib, pandas
python-slugify==4.0.1     # via kaggle
pytz==2020.4              # via pandas
pyzmq==20.0.0             # via jupyter-client, notebook, qtconsole
qtconsole==5.0.1          # via jupyter
qtpy==1.9.0               # via qtconsole
regex==2020.11.13         # via nltk
requests==2.25.1          # via kaggle
scikit-learn==0.20.0      # via -r requirements.in
scipy==1.5.4              # via scikit-learn
send2trash==1.5.0         # via notebook
six==1.15.0               # via argon2-cffi, bleach, cycler, jsonschema, kaggle, python-dateutil
terminado==0.9.1          # via notebook
testpath==0.4.4           # via nbconvert
text-unidecode==1.3       # via python-slugify
torch==1.7.1              # via -r requirements.in, torchvision
torchvision==0.8.2        # via -r requirements.in
tornado==6.1              # via ipykernel, jupyter-client, notebook, terminado
tqdm==4.54.1              # via kaggle, nltk
traitlets==5.0.5          # via ipykernel, ipython, ipywidgets, jupyter-client, jupyter-core, nbclient, nbconvert, nbformat, notebook, qtconsole
typing-extensions==3.7.4.3  # via importlib-metadata, torch
urllib3==1.26.2           # via kaggle, requests
wcwidth==0.2.5            # via prompt-toolkit
webencodings==0.5.1       # via bleach
widgetsnbextension==3.5.1  # via ipywidgets
zipp==3.4.0               # via importlib-metadata