Get the minimum value in a particular column
To get the minimum value in a particular column call the dataframe with the specific column name and min() function.
Syntax:
dataframe['column_name'].min()
Example: Get the minimum value in a particular column
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 name column print (data[ 'name' ]. min ()) # get the minimum in subjects column print (data[ 'subjects' ]. min ()) # get the minimum in age column print (data[ 'age' ]. min ()) # get the minimum in marks column print (data[ 'marks' ]. min ()) |
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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