How to draw a matrix of scatter plots using pandas?
This recipe helps you draw a matrix of scatter plots using pandas
Recipe Objective
Checking for collinearity among attributes of a dataset, is one of the most important steps in data preprocessing. A good way to understand the correlation among the features, is to create scatter plots for each pair of attributes.
So this recipe is a short example on How to draw a matrix of scatter plots using pandas. Let's get started.
Step 1 - Import the library
import pandas as pd
import seaborn as sb
Let's pause and look at these imports. Pandas is generally used for performing mathematical operation and preferably over arrays. Seaborn is just used in here to import dataset.
Step 2 - Setup the Data
df = sb.load_dataset('tips')
Here we have imported tips dataset from seaborn library.
Now our dataset is ready.
Step 3 - Plotting Scatter matrix
pd.plotting.scatter_matrix(df[['total_bill','tip','size']], alpha=0.2)
Using scatter_matrix, we have plotted it against 3 columns.
Step 4 - Let's look at our dataset now
Once we run the above code snippet, we will see:
Scroll down to the ipython file to look at the results.
We can see scatter matrix against 3 columns. Similarly, we can check for other columns to check similarity.
What Users are saying..
Abhinav Agarwal
I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More