Python Pandas – Count the rows and columns in a DataFrame

To count the rows and columns in a DataFrame, use the shape property. At first, let’s say we have the a CSV file on the Desktop as shown in the below path −

C:\Users\amit_\Desktop\CarRecords.csv

Read the CSV file −

dataFrame = pd.read_csv("C:\Users\amit_\Desktop\CarRecords.csv")

Let us now count the rows and columns using shape

dataFrame.shape

Example

Following is the code −

import pandas as pd

# reading csv file
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\CarRecords.csv")
print("DataFrame...\n",dataFrame)

# count the rows and columns in a DataFrame
print("\nNumber of rows and column in our DataFrame = ",dataFrame.shape)

# returns top 5 row records
print("\nDataFrame with specific number of rows...\n",dataFrame.head(5))

Output

This will produce the following output −

DataFrame...
           Car       Place   UnitsSold
0         Audi   Bangalore          80
1      Porsche      Mumbai         110
2   RollsRoyce        Pune         100
3          BMW       Delhi          95
4     Mercedes   Hyderabad          80
5  Lamborghini  Chandigarh          80
6         Audi      Mumbai         100
7     Mercedes        Pune         120
8  Lamborghini       Delhi         100

Number of rows and column in our DataFrame = (9, 3)

DataFrame with specific number of rows ...
          Car      Place   UnitsSold
0        Audi  Bangalore          80
1     Porsche     Mumbai         110
2  RollsRoyce       Pune         100
3         BMW      Delhi          95
4    Mercedes  Hyderabad          80