Seaborn Heatmap Method

Program 1

Seaborn Dataset

# Heat Map Plot

import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import pandas as pd
# array_2d=np.linspace(1,7,15).reshape(5,3)
# #print(array_2d)
# sns.heatmap(array_2d)
# plt.show()
df_global=pd.read_csv("D://scikit_data/global/global_warming.csv")
#print(df_global.head())
#print(df_global.isnull().sum())
#print(df_global.info())
df_global=df_global.drop(columns=['Country Code','Indicator Name','Indicator Code'],axis='columns')
df_global=df_global.set_index('Country Name')
#print(df_global)
sns.heatmap(df_global,annot=True,vmin=0,vmax=25)
plt.show()