Using size() method of DataFrameGroupBy object, we can retrieve the number of elements in each group. ‘size()’ method returns a Series that contains the group names as the index and the corresponding sizes as the values.

 

Example

data = {'Name': ['Krishna', 'Chamu', 'Joel', 'Gopi', 'Sravya', "Raj"],
        'Age': [34, 25, 29, 41, 52, 23],
        'City': ['Bangalore', 'Chennai', 'Hyderabad', 'Hyderabad', 'Bangalore', 'Chennai'],
        'Gender': ['Male', 'Female', 'Male', 'Male', 'Female', 'Male']}

df = pd.DataFrame(data)
group_by_city = df.groupby('City')
count_series_by_group_name = group_by_city.size()

 

In the example above, I defined a DataFrame ‘df with’ columns "Name", "Age", "City" and "Gender". We group the DataFrame by the column ‘City’ and store the result in a DataFrameGroupBy object named ’group_by_city’.

 

By calling the size() method on the grouped object, we obtain a Series named count_series_by_group_name. This Series represents the number of elements in each group. The index of the Series contains the group names ('Bangalore', 'Hyderabad' and 'Chennai' in this case), and the values represent the respective group sizes.

 

Find the below working application.

 

count_records_in_each_group.py

import pandas as pd

# Create a sample DataFrame
data = {'Name': ['Krishna', 'Chamu', 'Joel', 'Gopi', 'Sravya', "Raj"],
        'Age': [34, 25, 29, 41, 52, 23],
        'City': ['Bangalore', 'Chennai', 'Hyderabad', 'Hyderabad', 'Bangalore', 'Chennai'],
        'Gender': ['Male', 'Female', 'Male', 'Male', 'Female', 'Male']}

df = pd.DataFrame(data)
print(df)

group_by_city = df.groupby('City')
count_series_by_group_name = group_by_city.size()

print('\nGroup Name\tTotal Records')
for index_label in count_series_by_group_name.index:
    value = count_series_by_group_name[index_label]
    print(f"{index_label} \t {value}")

 

Output

      Name  Age       City  Gender
0  Krishna   34  Bangalore    Male
1    Chamu   25    Chennai  Female
2     Joel   29  Hyderabad    Male
3     Gopi   41  Hyderabad    Male
4   Sravya   52  Bangalore  Female
5      Raj   23    Chennai    Male

Group Name  Total Records
Bangalore    2
Chennai    2
Hyderabad    2

 

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