Example 1: 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()
Example 2: show integer seabron heatmap values
sns.heatmap(table2,annot=True,cmap='Blues', fmt='g')
Example 3: 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)
Example 4: heatmap sns
import pandas as pdimport numpy as npimport seaborn as snsimport matplotlib.pyplot as pltnp.random.seed(0)sns.set()uniform_data = np.random.rand(10, 12)ax = sns.heatmap(uniform_data, vmin=0, vmax=1)plt.show()