Python Pandas program to count the number of rows and columns in a DataFrame

In this python pandas program, we will count the number of rows and columns in a DataFrame using pandas library.

Steps to solve the program
  1. Import pandas library as pd.
  2. Create a dataframe using pd.DataFrame().
  3. Count the number of rows and columns in a DataFrame using df.shape().
  4. Print the output.
				
					import pandas as pd
d = {'Sr.no.':[1,2,3,4],'Name':['Alex','John','Peter','Klaus'],'Age':[30,27,29,33]}
df = pd.DataFrame(d)
print(df)
print("No. of rows: ",df.shape[0])
print("No. of columns: ",df.shape[1])
				
			

Output :

				
					0   Sr.no.   Name  Age
0       1   Alex   30
1       2   John   27
2       3  Peter   29
3       4  Klaus   33
No. of rows:  4
No. of columns:  3
				
			

select the rows where the age is greater than 29

select the rows where age is missing

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