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Plot mistake

Open karakol15 opened this issue 5 years ago • 4 comments

There is a problem in the visualization part. When I am trying to plot the graph in the example, I see the following mistake:


TypeError Traceback (most recent call last) in 12 ice_plot(ice_df, frac_to_plot=0.1, 13 color_by='x3', cmap=PuOr, ---> 14 ax=ice_ax); 15 16 ice_ax.set_xlabel('$X_2$');

C:\ProgramData\Anaconda3\lib\site-packages\pycebox\ice.py in ice_plot(ice_data, frac_to_plot, plot_points, point_kwargs, x_quantile, plot_pdp, centered, centered_quantile, color_by, cmap, ax, pdp_kwargs, **kwargs) 128 if frac_to_plot < 1.: 129 n_cols = ice_data.shape[1] --> 130 icols = np.random.choice(n_cols, size=frac_to_plot * n_cols, replace=False) 131 plot_ice_data = ice_data.iloc[:, icols] 132 else:

mtrand.pyx in mtrand.RandomState.choice()

TypeError: 'float' object cannot be interpreted as an integer

karakol15 avatar Mar 02 '20 14:03 karakol15

Following

vnguyendc avatar May 05 '20 21:05 vnguyendc

I've experienced the same problem with the tutorial. In case it helps, here are the modules reported by pip list.

Package                       Version
----------------------------- -------------------
absl-py                       0.11.0
alembic                       1.4.3
argon2-cffi                   20.1.0
astunparse                    1.6.3
async-generator               1.10
attrs                         20.2.0
backcall                      0.2.0
backports.functools-lru-cache 1.6.1
beautifulsoup4                4.9.3
bleach                        3.2.1
blinker                       1.4
bokeh                         2.2.3
Bottleneck                    1.3.2
brotlipy                      0.7.0
cachetools                    4.1.1
certifi                       2020.6.20
certipy                       0.1.3
cffi                          1.14.3
chardet                       3.0.4
click                         7.1.2
cloudpickle                   1.6.0
conda                         4.9.0
conda-package-handling        1.7.2
cryptography                  3.2
cycler                        0.10.0
Cython                        0.29.21
cytoolz                       0.11.0
dask                          2.30.0
decorator                     4.4.2
defusedxml                    0.6.0
dill                          0.3.2
distributed                   2.30.0
entrypoints                   0.3
fastcache                     1.1.0
featureimpact                 2.2.0
fsspec                        0.8.4
gast                          0.3.3
geographiclib                 1.50
geopy                         2.0.0
gmpy2                         2.1.0b1
google-auth                   1.23.0
google-auth-oauthlib          0.4.2
google-pasta                  0.2.0
graphviz                      0.14.2
grpcio                        1.33.2
h5py                          2.10.0
HeapDict                      1.0.1
idna                          2.10
imagecodecs                   2020.5.30
imageio                       2.9.0
importlib-metadata            2.0.0
ipykernel                     5.3.4
ipympl                        0.5.8
ipython                       7.18.1
ipython-genutils              0.2.0
ipywidgets                    7.5.1
jedi                          0.17.2
Jinja2                        2.11.2
joblib                        0.17.0
json5                         0.9.5
jsonschema                    3.2.0
jupyter-client                6.1.7
jupyter-core                  4.6.3
jupyter-telemetry             0.0.5
jupyterhub                    1.1.0
jupyterlab                    2.2.8
jupyterlab-pygments           0.1.2
jupyterlab-server             1.2.0
Keras                         2.4.3
Keras-Preprocessing           1.1.2
kiwisolver                    1.3.0
llvmlite                      0.34.0
locket                        0.2.0
Mako                          1.1.3
Markdown                      3.3.3
MarkupSafe                    1.1.1
matplotlib                    3.3.2
mistune                       0.8.4
mock                          4.0.2
mpmath                        1.1.0
msgpack                       1.0.0
nbclient                      0.5.1
nbconvert                     6.0.7
nbformat                      5.0.8
nest-asyncio                  1.4.1
networkx                      2.5
notebook                      6.1.4
numba                         0.51.2
numexpr                       2.7.1
numpy                         1.18.5
oauthlib                      3.0.1
olefile                       0.46
opt-einsum                    3.3.0
packaging                     20.4
pamela                        1.0.0
pandas                        1.1.3
pandocfilters                 1.4.2
parso                         0.7.1
partd                         1.1.0
patsy                         0.5.1
pexpect                       4.8.0
pickleshare                   0.7.5
Pillow                        8.0.1
pip                           20.2.4
plotly                        4.12.0
prometheus-client             0.8.0
prompt-toolkit                3.0.8
protobuf                      3.13.0
psutil                        5.7.3
ptyprocess                    0.6.0
pyasn1                        0.4.8
pyasn1-modules                0.2.8
pycebox                       0.0.1
pycosat                       0.6.3
pycparser                     2.20
pycurl                        7.43.0.6
Pygments                      2.7.2
PyJWT                         1.7.1
pyOpenSSL                     19.1.0
pyparsing                     2.4.7
pyrsistent                    0.17.3
PySocks                       1.7.1
python-dateutil               2.8.1
python-editor                 1.0.4
python-json-logger            2.0.1
pytz                          2020.1
PyWavelets                    1.1.1
PyYAML                        5.3.1
pyzmq                         19.0.2
requests                      2.24.0
requests-oauthlib             1.3.0
retrying                      1.3.3
rpy2                          3.3.6
rsa                           4.6
ruamel-yaml-conda             0.15.80
ruamel.yaml                   0.16.12
ruamel.yaml.clib              0.2.2
scikit-image                  0.17.2
scikit-learn                  0.23.2
scipy                         1.5.2
seaborn                       0.11.0
Send2Trash                    1.5.0
setuptools                    49.6.0.post20201009
shap                          0.36.0
simplegeneric                 0.8.1
six                           1.15.0
slicer                        0.0.4
sortedcontainers              2.2.2
soupsieve                     2.0.1
SQLAlchemy                    1.3.20
statsmodels                   0.12.1
sympy                         1.6.2
tables                        3.6.1
tblib                         1.6.0
tensorboard                   2.3.0
tensorboard-plugin-wit        1.7.0
tensorflow                    2.3.1
tensorflow-estimator          2.3.0
termcolor                     1.1.0
terminado                     0.9.1
testpath                      0.4.4
threadpoolctl                 2.1.0
tifffile                      2020.10.1
toolz                         0.11.1
tornado                       6.0.4
tqdm                          4.51.0
traitlets                     5.0.5
tslearn                       0.4.1
typing-extensions             3.7.4.3
tzlocal                       2.1
urllib3                       1.25.11
vincent                       0.4.4
wcwidth                       0.2.5
webencodings                  0.5.1
Werkzeug                      1.0.1
wheel                         0.35.1
widgetsnbextension            3.5.1
wrapt                         1.12.1
xgboost                       1.2.1
xlrd                          1.2.0
zict                          2.0.0
zipp                          3.4.0
Note: you may need to restart the kernel to use updated packages.


mhwombat avatar Dec 01 '20 18:12 mhwombat

To be precise, I may be getting the error in a different place:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-21-aa8436012d96> in <module>
     16 data_ax.set_title('Data');
     17 
---> 18 ice_plot(ice_df, frac_to_plot=0.1,
     19          c='k', alpha=0.25,
     20          ax=ice_ax);

/opt/conda/lib/python3.8/site-packages/pycebox/ice.py in ice_plot(ice_data, frac_to_plot, plot_points, point_kwargs, x_quantile, plot_pdp, centered, centered_quantile, color_by, cmap, ax, pdp_kwargs, **kwargs)
    128     if frac_to_plot < 1.:
    129         n_cols = ice_data.shape[1]
--> 130         icols = np.random.choice(n_cols, size=frac_to_plot * n_cols, replace=False)
    131         plot_ice_data = ice_data.iloc[:, icols]
    132     else:

mtrand.pyx in numpy.random.mtrand.RandomState.choice()

TypeError: 'float' object cannot be interpreted as an integer

mhwombat avatar Dec 01 '20 18:12 mhwombat

supposed to be solved by modified line as follow #27 icols = np.random.choice(n_cols, size=int(frac_to_plot * n_cols), replace=False)

but for me it still doesn't work, showed the same error information even the log showed the modified line with int() in ice.py

Please check

Update

Restarting the kernel did the trick Modifying line 130 as described in #27 is the solution for this issue.

SunnyW4869 avatar Nov 16 '21 10:11 SunnyW4869