sum in pandas | mean in pandas dataframe
In this pandas tutorial, we will discuss about:
-
sum in pandas dataframe,
-
mean in pandas dataframe
Lets first create a dataframe.
DataFrame is an two dimensional data structure that will store data in two dimensional format. One dimension refers to a row and second dimension refers to a column, So It will store the data in rows and columns.
We can able to create this DataFrame using DataFrame() method. But this is available in pandas module, so we have to import pandas module.
Syntax:
pandas.DataFrame(data)
Where, data is the input dataframe. The data can be a dictionary that stores list of values with specified key.
Example: Create Dataframe
In this example, we will create dataframe with 4 rows and 4 columns with college data and assign index labels using index parameter.
import pandas as pd
#create dataframe from the college data
data= pd.DataFrame({'college_id':['c-001','c-021','c-002','c-004'],
'college_name':["vignan university","vvit","RVR - JC","Andhra University"],
"college_address":["guntur","guntur","guntur","guntur"],
"Total Staff":[1200,3422,5644,670]
},index=['college1','college2','college3','college4'])
#display the dataframe
print(data)
Output:
sum in pandas dataframe
sum() function is used to get the return the total (sum) value from the pandas dataframe.
Syntax:
dataframe['column'].sum()
where,
-
dataframe is the input dataframe
-
column is the column name in pandas DataFrame.
Example : sum of columns in pandas dataframe
In this example, we are applying sum() function on Total Staff column to find sum in pandas dataframe.
import pandas as pd
#create dataframe from the college data
data= pd.DataFrame({'college_id':['c-001','c-021','c-002','c-004'],
'college_name':["vignan university","vvit","RVR - JC","Andhra University"],
"college_address":["guntur","guntur","guntur","guntur"],
"Total Staff":[1200,3422,5644,670]
},index=['college1','college2','college3','college4'])
#get the sum from Total Staff column in the dataframe
print(data['Total Staff'].sum())
Output: Result for sum in pandas dataframe is given below for total staff column
10936
The above code will return total sum from Total Staff column.
mean in pandas dataframe
mean() function is used to get the return the average value from the pandas dataframe.
Syntax:
dataframe['column'].mean()
where,
-
dataframe is the input dataframe
-
column is the column name in pandas DataFrame.
Example : mean of columns in pandas dataframe
In this example, we are applying mean() function on Total Staff column to find mean in pandas dataframe.
import pandas as pd
#create dataframe from the college data
data= pd.DataFrame({'college_id':['c-001','c-021','c-002','c-004'],
'college_name':["vignan university","vvit","RVR - JC","Andhra University"],
"college_address":["guntur","guntur","guntur","guntur"],
"Total Staff":[1200,3422,5644,670]
},index=['college1','college2','college3','college4'])
#get the mean from Total Staff column in the dataframe
print(data['Total Staff'].mean())
Output: mean of columns in pandas dataframe for total staff column is given below
2734.0
The above code will return average (mean) value from Total Staff column
Conclusion
In this article, we discussed how to return sum and average from particular column in Pandas DataFrame using sum() and mean() functions.
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About the Author
Gottumukkala Sravan Kumar 171FA07058
B.Tech (Hon's) - IT from Vignan's University.
Published 1400+ Technical Articles on Python, R, Swift, Java, C#, LISP, PHP - MySQL and Machine Learning
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Published Date :
Mar 12,2022