How to use apply().fillna() function to calculate the frequency of unique value In Python Pandas
Here we are filling NAN or 0 for the None values in the series and apply function to apply the same, and then calculate their frequencies.
Python3
import pandas as pdtechnologies = { "data":[2, 3, 4, 5, 5, 6, 7, 8, 9, 5, 3] }df = pd.DataFrame(technologies)df1 = df.apply(pd.value_counts).fillna(0)print(df1) |
Output:
Calculate the frequency counts of each unique value
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.