Get minimum value in dataframe row
To get the minimum value in a dataframe row simply call the min() function with axis set to 1.
Syntax:
dataframe.min(axis=1)
Example: Get minimum value in a dataframe row
Python3
# import pandas module import pandas as pd # create a dataframe # with 5 rows and 4 columns data = pd.DataFrame({ 'name' : [ 'sravan' , 'ojsawi' , 'bobby' , 'rohith' , 'gnanesh' ], 'subjects' : [ 'java' , 'php' , 'html/css' , 'python' , 'R' ], 'marks' : [ 98 , 90 , 78 , 91 , 87 ], 'age' : [ 11 , 23 , 23 , 21 , 21 ] }) # display dataframe print (data) # get the minimum in row data. min (axis = 1 ) |
Output:
How to Get the minimum value from the Pandas dataframe in Python?
In this article, we will discuss how to get the minimum value from the Pandas dataframe in Python.
We can get the minimum value by using the min() function
Syntax:
dataframe.min(axis)
where,
- axis=0 specifies column
- axis=1 specifies row
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