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Removing Rows on Count condition

Given a pandas dataframe, we have to remove rows from it on count condition. By Pranit Sharma Last updated : October 05, 2023

Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structures in pandas. DataFrames consist of rows, columns, and data.

Problem statement

Suppose we are given a DataFrame with some columns representing the information of some cities.

We need to remove all the rows from this DataFrame occurrence of any city name that is less than a particular number.

Removing Rows from pandas dataframe on Count condition

For this purpose, we will first group the city name column and use a transform function inside which we will pass a condition.

Let us understand with the help of an example,

Python program to remove rows from pandas DataFrame on count condition

# Importing pandas package
import pandas as pd

# Importing numpy package
import numpy as np

# Creating a dictionary
d = {
    'id':[1,2,2,2,3,3],
    'city_name':['Surat','Indore','Indore','Indore','Mohali','Mohali'],
    'Highlights':['Business','Safety','Clean','Business','Farming','Business']
}

# Creating dataframe
df = pd.DataFrame(d)

# Display original DataFrame
print("Original DataFrame:\n",df,"\n")

# Grouping city name and filtering rows
res = df.groupby('city_name').filter(lambda x : len(x)>1)

# Display result
print("Result:\n",res)

Output

The output of the above program is:

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