Solution
Assume, you have a dataframe and minimum rank of a particular column,
Id Name Age Rank 0 1 Adam 12 1.0 1 2 David 13 3.0 2 3 Michael 14 5.0 3 4 Peter 12 1.0 4 5 William 13 3.0
To solve this, we will follow the steps given below −
Define a dataframe.
Assign df[‘Age’] column inside rank function to calculate the minimum rank for axis 0 is,
df["Age"].rank(axis=0,method ='min',ascending=True)
Example
Let’s see the following code to get a better understanding −
import pandas as pd data = {'Id': [1,2,3,4,5], 'Name':["Adam","David","Michael","Peter","William"], 'Age': [12,13,14,12,13]} df = pd.DataFrame(data) df["Rank"] = df["Age"].rank(axis=0,method ='min',ascending=True) print(df)
Output
Id Name Age Rank 0 1 Adam 12 1.0 1 2 David 13 3.0 2 3 Michael 14 5.0 3 4 Peter 12 1.0 4 5 William 13 3.0