10. Heatmap#

  • See the most common value

    • Only be used with Numerical Values

    • Nulls are plotted as black cells

import seaborn as sns
import pandas as pd
data = {'Sales': [99, 102, 905, 120,12,12,12,22,12,12,12,430],
        'Profit': [9, 12, 905, 120,120,12,102,22,192,12,12,40],
        'Discount': [9, 12, 905, 120,120,12,102,22,192,12,12,40]
       }
df=pd.DataFrame(data)

sns.heatmap(df);
../_images/470d8a1e2d68a610dede97e66d96640a22761454191588af610450f45f069277.png 
sns.heatmap(
    df,
    annot=True,
    fmt='g', # format the data to apprear correctly
    cmap='RdYlGn' # Get in green and red
);
../_images/770084cb4ae94dcb2f551237bcaf8e88e839967870c6f814c6a15a2cf23bb704.png

10.1. Note#

  • use df.corr() to find corelation of numerical variables

    • Very useful for data analysis