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ShrashtiSinghal/VisualizeBoxPlots.py

Created August 6, 2020 14:20
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VisualizeBoxPlots.py
#Visualize Box plots for outliers
fig, axs = plt.subplots(ncols=5, nrows=3, figsize=(20, 10))
index = 0
axs = axs.flatten()
for k,v in data.items():
sns.boxplot(x=k, data=data, ax=axs[index], color="orange")
index += 1
plt.tight_layout(pad=0.4, w_pad=0.5, h_pad=5.0)
data = data[~(data['MEDV'] >= 50.0)]
print(np.shape(data))
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