Created
October 9, 2018 10:03
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[Python] Plot all features
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# %matplotlib inline | |
from matplotlib import pyplot as plt | |
plt.rcParams['figure.figsize'] = (10, 8) | |
fig = plt.figure(figsize=(25, 15)) | |
cols = 5 | |
rows = np.ceil(float(data_train.shape[1]) / cols) | |
for i, column in enumerate(data_train.columns): | |
ax = fig.add_subplot(rows, cols, i + 1) | |
ax.set_title(column) | |
if data_train.dtypes[column] == np.object: | |
data_train[column].value_counts().plot(kind="bar", axes=ax) | |
else: | |
data_train[column].hist(axes=ax) | |
plt.xticks(rotation="vertical") | |
plt.subplots_adjust(hspace=0.7, wspace=0.2) |
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