Plotting a Pandas DataframeΒΆ
Hypertools supports single-index Pandas Dataframes as input. In this example, we plot the mushrooms dataset from the kaggle database. This is a dataset of text features describing different attributes of a mushroom. Dataframes that contain columns with text are converted into binary feature vectors representing the presence or absences of the feature (see Pandas.Dataframe.get_dummies for more).
Out:
bruises cap-color cap-shape cap-surface gill-attachment gill-color \
0 t n x s f k
1 t y x s f k
2 t w b s f n
3 t w x y f n
4 f g x s f k
gill-size gill-spacing habitat odor ... ring-type spore-print-color \
0 n c u p ... p k
1 b c g a ... p n
2 b c m l ... p n
3 n c u p ... p k
4 b w g n ... e n
stalk-color-above-ring stalk-color-below-ring stalk-root stalk-shape \
0 w w e e
1 w w c e
2 w w c e
3 w w e e
4 w w e t
stalk-surface-above-ring stalk-surface-below-ring veil-color veil-type
0 s s w p
1 s s w p
2 s s w p
3 s s w p
4 s s w p
[5 rows x 22 columns]
# Code source: Andrew Heusser
# License: MIT
# import
import hypertools as hyp
# load example data
geo = hyp.load('mushrooms')
print(geo.get_data().head())
# plot
geo.plot()
Total running time of the script: ( 0 minutes 0.248 seconds)