Heatmap Plot in Seaborn

Program 1

Seabron Dataset

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns



ar_2d=np.linspace(1,5,12).reshape(4,3)



ar_2d


sns.heatmap(ar_2d)


df_global=pd.read_csv("D://scikit_data/global/global_warming.csv")


df_global.info()


df_global.shape


df_global=df_global.drop(columns=['Country Code','Indicator Name','Indicator Code'],axis='columns')



df_global.head()


df_global=df_global.set_index('Country Name')


df_global


sns.heatmap(df_global)


sns.heatmap(df_global,vmin=0,vmax=25)


sns.heatmap(df_global,vmin=0,vmax=25,annot=True)


sns.heatmap(df_global,vmin=0,vmax=25,annot=True,cmap='coolwarm')


sns.heatmap(df_global,vmin=0,vmax=25,annot=True,cmap='coolwarm')


sns.heatmap(df_global,vmin=0,vmax=25,annot=True,cmap='coolwarm',annot_kws={'fontsize':7,'fontstyle':'italic','verticalalignment':'center','color':'k','backgroundcolor':'w','alpha':0.5})


sns.heatmap(df_global,annot=True,linewidth=4,annot_kws={'fontsize':7},cbar=False,xticklabels=False,yticklabels=False)



sns.heatmap(df_global,annot=True,linewidth=4,annot_kws={'fontsize':7})


sns.heatmap(df_global,annot=True,linewidth=4,annot_kws={'fontsize':7},cbar_kws={'orientation':'horizontal','shrink':1,})


sns.heatmap(df_global,annot=True,linewidth=4,annot_kws={'fontsize':7},cbar_kws={'orientation':'horizontal','shrink':1,'extend':'min','drawedges':True})