Python Data Visualisation for Business Analyst – How to plot Correllogram

(Python Data Visualisation Tutorials)

Python Data Visualisation for Business Analyst – How to plot Correllogram

In this data visualisation tutorial, you will learn How to How to plot Correllogram in Python.

Correlogram is used to visually see the correlation metric between all possible pairs of numeric variables in a given dataframe (or 2D array).

 

Setup

Run this once before the plot’s code. The individual charts, however, may redefine its own aesthetics.

/* !pip install brewer2mpl */
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
import warnings; warnings.filterwarnings(action='once')

large = 22; med = 16; small = 12
params = {'axes.titlesize': large,
          'legend.fontsize': med,
          'figure.figsize': (16, 10),
          'axes.labelsize': med,
          'axes.titlesize': med,
          'xtick.labelsize': med,
          'ytick.labelsize': med,
          'figure.titlesize': large}
plt.rcParams.update(params)
plt.style.use('seaborn-whitegrid')
sns.set_style("white")
%matplotlib inline

/* Version */
print(mpl.__version__)  
print(sns.__version__)
Data: mtcars

How to plot Correllogram

Download Code:

 

/* Import Dataset */
df = pd.read_csv("mtcars.csv")

/* Plot */
plt.figure(figsize=(12,10), dpi= 80)
sns.heatmap(df.corr(), xticklabels=df.corr().columns, yticklabels=df.corr().columns, cmap='RdYlGn', center=0, annot=True)

/* Decorations */
plt.title('Correlogram of mtcars', fontsize=22)
plt.xticks(fontsize=12)
plt.yticks(fontsize=12)
plt.show()

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