In This Article, You Will Learn About Python Pandas Correlations.
Table of Contents
Pandas – Data Correlations
Pandas Relationships
What if we have to find out the relationship between columns of the data set?
A Pandas module named corr() method finds the relationship between each column of Pandas Data Set.
Example – Using corr() method to find out relationship between each column of data set.
import pandas as pd
df = pd.read_csv('data.csv')
print(df.corr())
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Result Overview
The above example shows so many numbers in each column that represent an established, well-defined relationship.
Correlation Range
A Correlation Range lies between -1.0 to 1.0.
Perfect Correlation
A perfect correlation is one in which both column’s value goes up together in the same direction.
Positive Correlation
A perfect positive correlation shows the correlation of 1.0.
Negative Correlation
A perfect negative correlation shows the correlation of -1.0.
If you find anything incorrect in the above-discussed topic and have any further questions, please comment below.
