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I want to add a title to a seaborn heatmap. Using Pandas and iPython Notebook
code is below,
a1_p = a1.pivot_table( index='Postcode', columns='Property Type', values='Count', aggfunc=np.mean, fill_value=0) sns.heatmap(a1_p, cmap="YlGnBu") the data is pretty straight forward:
In [179]: a1_p Out [179]: Property Type Flat Terraced house Unknown Postcode E1 11 0 0 E14 12 0 0 E1W 6 0 0 E2 6 0 0 
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Use the set_title() Function to Add a Title to a Seaborn Plot. A seaborn plot returns a matplotlib axes instance type object. For such objects, we can use the set_title() function to add a title to the plot.
Add Custom Title and Labels to Heatmap Load a sample of gene expression data. Display a heatmap of the gene expression values for 4918 genes from 78 samples. Add a title to the heatmap in red. title = addTitle(hmo,'Gene Expression Data','Color','red');
To add a title to a single seaborn plot, you can use the . set() function. To add an overall title to a seaborn facet plot, you can use the . suptitle() function.
We make use of the set_title(), set_xlabel(), and set_ylabel() functions to change axis labels and set the title for a plot.
heatmap is an axes-level function, so you should be able to use just plt.title or ax.set_title:
%matplotlib inline import numpy as np import os import seaborn as sns import matplotlib.pyplot as plt data = np.random.randn(10,12) ax = plt.axes() sns.heatmap(data, ax = ax) ax.set_title('lalala') plt.show() 
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