[FIXED] How can I make a heatmap from a repetitive dataframe?

Issue

I've got a df that has three columns, one of them has a repetitive pattern, the df looks like this

>>> df
        date        hour        value      
   0  01/01/2022     1        0.267648 
   1  01/01/2022     2        1.564420  
   2  01/01/2022    ...       0.702019 
   3  01/01/2022     24       1.504663  
   4  01/02/2022     1        0.309097 
   5  01/02/2022     2        0.309097 
   6  01/02/2022    ...       0.309097 
   7  01/02/2022     24       0.309097 
>>> 

I want to make a heatmap with this, the x-axis would be the month, the y axis the hour of the day and the value would be the median of all the values in that specific hour from everyday in the month.

Solution

import seaborn as sns
import matplotlib.pyplot as plt

df.date = pd.to_datetime(df.date)
df['month'] = df.date.dt.month

pivot = df.pivot_table(columns='month', index='hour', values='value', aggfunc='median')

sns.heatmap(pivot.sort_index(ascending=False))
plt.show()

Output:

• Seaborn Heatmap

Answered By - BeRT2me