Answers for "sns.heatmap"

print the heat map python

import numpy as np
import seaborn as sns
import matplotlib.pylab as plt

uniform_data = np.random.rand(10, 12)
ax = sns.heatmap(uniform_data, linewidth=0.5)
plt.show()

show integer seabron heatmap values

sns.heatmap(table2,annot=True,cmap='Blues', fmt='g')

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)