seaborn correlation heatmap code example
Example 1: seaborn create a correlation matrix
import seaborn as sns
%matplotlib inline
# calculate the correlation matrix
corr = auto_df.corr()
# plot the heatmap
sns.heatmap(corr,
xticklabels=corr.columns,
yticklabels=corr.columns)
Example 2: seaborn correlation heatmap
import pandas as pd
import seaborn as sns
sns.heatmap(dataframe.corr(), annot=True) # annot is optional
Example 3: show integer seabron heatmap values
sns.heatmap(table2,annot=True,cmap='Blues', fmt='g')
Example 4: python add labels to seaborn heatmap
# Basic syntax:
sns.heatmap(df, xticklabels=x_labels, yticklabels=y_labels)
# Example usage:
import seaborn as sns
flight = sns.load_dataset('flights') # Load flights datset from GitHub
# seaborn repository
# Reshape flights dataeset to create seaborn heatmap
flights_df = flight.pivot('month', 'year', 'passengers')
x_labels = [1,2,3,4,5,6,7,8,9,10,11,12] # Labels for x-axis
y_labels = [11,22,33,44,55,66,77,88,99,101,111,121] # Labels for y-axis
# Create seaborn heatmap with required labels
sns.heatmap(flights_df, xticklabels=x_labels, yticklabels=y_labels)