Correlation plot python seaborn

import matplotlib.pyplot as plt
import seaborn as sns
figure = plt.figure(figsize=(12, 6))
sns.heatmap(train_data.corr(), annot=True,cmap=plt.cm.cool)
plt.tight_layout()
plt.xlabel('Corr')
plt.show()

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)

Source: stackoverflow.com

Similar codes

0 vote313 views1 answer
Pip install scrapy-proxy-pool
Python
3 votes221 views2 answers
Find different values from two lists python
Python
0 vote237 views1 answer
Igraph adjacency matrix python
Python
0 vote260 views1 answer
Relative import package/module __init__.py
Python
0 vote228 views1 answer
Map dataframe parallel
Python
1 vote230 views1 answer
Find order of characters python
Python
1 vote232 views3 answers
Py random list integers
Python
11 votes232 views3 answers
Fibonacci recursive python
Python
3 votes212 views1 answer
How to check for a particular word in a text file using python
Python
0 vote244 views1 answer
AttributeError: module 'tensorflow._api.v2.train' has no attribute 'AdamOptiimizer'
Python