Get the number of rows and number of columns in Pandas Dataframe
Last Updated :
02 Jul, 2020
Pandas provide data analysts a variety of pre-defined functions to Get the number of rows and columns in a data frame. In this article, we will learn about the syntax and implementation of few such functions.
Method 1: Using df.axes() Method
axes() method in pandas allows to get the number of rows and columns in a go. It accepts the argument '0' for rows and '1' for columns.
Syntax: df.axes[0 or 1]
Parameters:
0: for number of Rows
1: for number of columns
Example:
Python3 1==
# import pandas library
import pandas as pd
# dictionary with list object in values
details = {
'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'],
'Age' : [23, 21, 22, 21],
'University' : ['BHU', 'JNU', 'DU', 'BHU'],
}
# creating a Dataframe object
df = pd.DataFrame(details, columns = ['Name', 'Age', 'University'],\
index = ['a', 'b', 'c', 'd'])
# Get the number of rows and columns
rows = len(df.axes[0])
cols = len(df.axes[1])
# Print the number of rows and columns
print("Number of Rows: " + str(rows))
print("Number of Columns: " + str(cols))
Number of Rows: 4
Number of Columns: 3
Method 2: Using df.info() Method
df.info() method provides all the information about the data frame, including the number of rows and columns.
Syntax:
df.info
Example:
Python3 1==
# import pandas library
import pandas as pd
# dictionary with list object in values
details = {
'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'],
'Age' : [23, 21, 22, 21],
'University' : ['BHU', 'JNU', 'DU', 'BHU'],
}
# creating a Dataframe object
df = pd.DataFrame(details, columns = ['Name', 'Age', 'University'],
index = ['a', 'b', 'c', 'd'])
# Get the info of data frame
df.info()
Here in the above code, the value in the Index gives the number of rows and the value in Data columns gives the number of columns.
Method 3: Using len() Method
len() method is used to get the number of rows and number of columns individually.
Syntax:
len(df)
and
len(df.columns)
Example 1: Get the number of rows
Python3 1==
# import pandas library
import pandas as pd
# dictionary with list object in values
details = {
'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'],
'Age' : [23, 21, 22, 21],
'University' : ['BHU', 'JNU', 'DU', 'BHU'],
}
# creating a Dataframe object
df = pd.DataFrame(details, columns = ['Name', 'Age', 'University'],
index = ['a', 'b', 'c', 'd'])
# Get the number of rows
print("Number of Rows:", len(df))
Number of Rows: 4
Example 2: Get the number of columns
Python3 1==
# import pandas library
import pandas as pd
# dictionary with list object in values
details = {
'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'],
'Age' : [23, 21, 22, 21],
'University' : ['BHU', 'JNU', 'DU', 'BHU'],
}
# creating a Dataframe object
df = pd.DataFrame(details, columns = ['Name', 'Age', 'University'],
index = ['a', 'b', 'c', 'd'])
# Get the number of columns
print("Number of Columns:", len(df.columns))
Number of Columns: 3
Method 4: Using df.shape() Method
df.shape() method returns the number of rows and columns in the form of a tuple.
Example:
Python3 1==
# import pandas library
import pandas as pd
# dictionary with list object in values
details = {
'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'],
'Age' : [23, 21, 22, 21],
'University' : ['BHU', 'JNU', 'DU', 'BHU'],
}
# creating a Dataframe object
df = pd.DataFrame(details, columns = ['Name', 'Age', 'University'],
index = ['a', 'b', 'c', 'd'])
# Get the number of Rows and columns
df.shape
(4, 3)
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