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
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 as pd
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 ]
})
print (data)
data. min (axis = 1 )
|
Output:
Get the minimum value in column
To get the minimum value in a column simply call the min() function using axis set to 0.
Syntax:
dataframe.min(axis=0)
Example: Get minimum value in a column
Python3
import pandas as pd
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 ]
})
print (data)
data. min (axis = 0 )
|
Output:
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 as pd
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 ]
})
print (data)
print (data[ 'name' ]. min ())
print (data[ 'subjects' ]. min ())
print (data[ 'age' ]. min ())
print (data[ 'marks' ]. min ())
|
Output:
Last Updated :
14 Jan, 2022
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