How to use groupby() to calculate the frequency of unique value In Python Pandas
Here we are using the groupby() function to group all the same values and then calculate their frequencies.
Python3
import pandas as pd technologies = { "data" :[ 2 , 3 , 4 , 5 , 5 , 6 , 7 , 8 , 9 , 5 , 3 ] } df = pd.DataFrame(technologies) df[ 'frequency' ] = df.groupby( 'data' ) [ 'data' ].transform( 'count' ) print (df) |
Output:
Calculate the frequency counts of each unique value of a Pandas series
Let us see how to find the frequency counts of each unique value of a Pandas series. We will use these methods to calculate the frequency counts of each unique value of a Pandas series.