text_plain_output_1.png image_output_1.png
import seaborn as sns

import seaborn as sns

import seaborn as sns

import seaborn as sns

import seaborn as sns

cal.dtypes

cal.drop(['day'], axis=1)

cal.dtypes

import seaborn as sns

import seaborn as sns

byMonth = cal.groupby('month').count()

t = cal['timeStamp'].iloc[0]
t.date()

cal['date'] = cal['timeStamp'].apply(lambda t: t.date())

x = cal.groupby('date').count().head()

hr = cal.groupby(by=['Day of Week', 'hour']).count()['Reason'].unstack()

sns.heatmap(hr, cmap='viridis')