{"id":4717,"date":"2021-05-01T14:57:45","date_gmt":"2021-05-01T09:27:45","guid":{"rendered":"https:\/\/python-programs.com\/?p=4717"},"modified":"2021-11-22T18:49:07","modified_gmt":"2021-11-22T13:19:07","slug":"pandas-get-sum-of-column-values-in-a-dataframe","status":"publish","type":"post","link":"https:\/\/python-programs.com\/pandas-get-sum-of-column-values-in-a-dataframe\/","title":{"rendered":"Pandas: Get sum of column values in a Dataframe"},"content":{"rendered":"

How to get the sum of column values in a dataframe in Python ?<\/h2>\n

In this article, we will discuss about how to get the sum To find the sum of values in a dataframe. So, let’s start exploring the topic.<\/p>\n

Select the column by name and get the sum of all values in that column :<\/h3>\n

To find the sum of values of a single column we have to use the sum( )<\/code> or the loc[ ]<\/code> function.<\/p>\n

Using sum() :<\/h4>\n

Here by using sum( )<\/code> only, we selected a column from a dataframe by the column name and from that we can get the sum of values in that column.<\/p>\n

Syntax- dataFrame_Object[\u2018column_name\u2019].sum( )<\/pre>\n
#Program :\r\n\r\nimport numpy as np\r\nimport pandas as pd\r\n# Example data\r\nstudents = [('Jill',\u00a0\u00a0\u00a0 16,\u00a0\u00a0\u00a0\u00a0 'Tokyo',\u00a0 150),\r\n('Rachel',\u00a0\u00a0\u00a0 38,\u00a0\u00a0\u00a0\u00a0 'Texas',\u00a0\u00a0 177),\r\n('Kirti',\u00a0\u00a0\u00a0 39,\u00a0\u00a0\u00a0\u00a0 'New York',\u00a0 97),\r\n('Veena',\u00a0\u00a0 40,\u00a0\u00a0\u00a0\u00a0 'Texas',\u00a0\u00a0 np.NaN),\r\n('Lucifer',\u00a0\u00a0 np.NaN, 'Texas',\u00a0\u00a0 130),\r\n('Pablo', 30,\u00a0\u00a0\u00a0\u00a0 'New York',\u00a0 155),\r\n('Lionel',\u00a0\u00a0 45,\u00a0\u00a0\u00a0\u00a0 'Colombia', 121) ]\r\ndfObj = pd.DataFrame(students, columns=['Name','Age','City','Score'])\r\n#Sum of all values in the 'Score' column of the dataframe\r\ntotalSum = dfObj['Score'].sum()\r\nprint(totalSum)<\/pre>\n
Output :\r\n830.0<\/pre>\n
Using loc[ ] :<\/h4>\n
Here by using loc[]<\/code> and\u00a0 sum( )<\/code> only, we selected a column from a dataframe by the column name and from that we can get the sum of values in that column.<\/p>\n
Syntax- dataFrame_Object_name.loc[:, \u2018column_name\u2019].sum( )<\/em><\/p>\n
So, let’s see the implementation of it by taking an example.<\/p>\n
#Program :\r\n\r\nimport numpy as np\r\nimport pandas as pd\r\n# Example data\r\nstudents = [('Jill',\u00a0\u00a0\u00a0 16,\u00a0\u00a0\u00a0\u00a0 'Tokyo',\u00a0 150),\r\n('Rachel',\u00a0\u00a0\u00a0 38,\u00a0\u00a0\u00a0\u00a0 'Texas',\u00a0\u00a0 177),\r\n('Kirti',\u00a0\u00a0\u00a0 39,\u00a0\u00a0\u00a0\u00a0 'New York',\u00a0 97),\r\n('Veena',\u00a0\u00a0 40,\u00a0\u00a0\u00a0\u00a0 'Texas',\u00a0\u00a0 np.NaN),\r\n('Lucifer',\u00a0\u00a0 np.NaN, 'Texas',\u00a0\u00a0 130),\r\n('Pablo', 30,\u00a0\u00a0\u00a0\u00a0 'New York',\u00a0 155),\r\n('Lionel',\u00a0\u00a0 45,\u00a0\u00a0\u00a0\u00a0 'Colombia', 121) ]\r\ndfObj = pd.DataFrame(students, columns=['Name','Age','City','Score'])\r\n#Sum of all values in the 'Score' column of the dataframe using loc[ ]\r\ntotalSum = dfObj.loc[:, 'Score'].sum()\r\nprint(totalSum)<\/pre>\n
Output :\r\n830.0<\/pre>\n
Select the column by position and get the sum of all values in that column :<\/h3>\n
In case we don\u2019t know about the column name but we know its position, we can find the sum of all value in that column using both iloc[ ]<\/code> and sum( )<\/code>. The iloc[ ] returns a series of values which is then passed into the sum( )<\/code> function.<\/p>\n
So, let’s see the implementation of it by taking an example.<\/p>\n
#Program :\r\n\r\nimport numpy as np\r\nimport pandas as pd\r\n\r\n# Example data\r\nstudents = [('Jill',\u00a0\u00a0\u00a0 16,\u00a0\u00a0\u00a0\u00a0 'Tokyo',\u00a0 150),\r\n('Rachel',\u00a0\u00a0\u00a0 38,\u00a0\u00a0\u00a0\u00a0 'Texas',\u00a0\u00a0 177),\r\n('Kirti',\u00a0\u00a0\u00a0 39,\u00a0\u00a0\u00a0\u00a0 'New York',\u00a0 97),\r\n('Veena',\u00a0\u00a0 40,\u00a0\u00a0\u00a0\u00a0 'Texas',\u00a0\u00a0 np.NaN),\r\n('Lucifer',\u00a0\u00a0 np.NaN, 'Texas',\u00a0\u00a0 130),\r\n('Pablo', 30,\u00a0\u00a0\u00a0\u00a0 'New York',\u00a0 155),\r\n('Lionel',\u00a0\u00a0 45,\u00a0\u00a0\u00a0\u00a0 'Colombia', 121) ]\r\ndfObj = pd.DataFrame(students, columns=['Name','Age','City','Score'])\r\ncolumn_number = 4\r\n# Total sum of values in 4th column i.e. \u2018Score\u2019\r\ntotalSum = dfObj.iloc[:, column_number-1:column_number].sum()\r\nprint(totalSum)<\/pre>\n
Output :\r\nScore\u00a0\u00a0\u00a0 830.0\r\ndtype: float64<\/pre>\n
Find the sum of columns values for selected rows only in Dataframe :<\/h3>\n
If we need the sum of values from a column\u2019s specific entries we can-<\/p>\n
So, let’s see the implementation of it by taking an example.<\/p>\n
#Program :\r\n\r\nimport numpy as np\r\nimport pandas as pd\r\n\r\n# Example data\r\nstudents = [('Jill',\u00a0\u00a0\u00a0 16,\u00a0\u00a0\u00a0\u00a0 'Tokyo',\u00a0 150),\r\n('Rachel',\u00a0\u00a0\u00a0 38,\u00a0\u00a0\u00a0\u00a0 'Texas',\u00a0\u00a0 177),\r\n('Kirti',\u00a0\u00a0\u00a0 39,\u00a0\u00a0\u00a0\u00a0 'New York',\u00a0 97),\r\n('Veena',\u00a0\u00a0 40,\u00a0\u00a0\u00a0\u00a0 'Texas',\u00a0\u00a0 np.NaN),\r\n('Lucifer',\u00a0\u00a0 np.NaN, 'Texas',\u00a0\u00a0 130),\r\n('Pablo', 30,\u00a0\u00a0\u00a0\u00a0 'New York',\u00a0 155),\r\n('Lionel',\u00a0\u00a0 45,\u00a0\u00a0\u00a0\u00a0 'Colombia', 121) ]\r\ndfObj = pd.DataFrame(students, columns=['Name','Age','City','Score'])\r\ncolumn_number = 4\r\nentries = 3\r\n#Sum of the first three values from the 4th column\r\ntotalSum = dfObj.iloc[0:entries, column_number-1:column_number].sum()\r\nprint(totalSum)<\/pre>\n
Output :\r\nScore\u00a0\u00a0\u00a0 424.0\r\ndtype: float64<\/pre>\n
Find the sum of column values in a dataframe based on condition :<\/strong><\/h3>\n
In case we want the sum of all values that follows our conditions, for example scores of a particular city like New York can be found out by –<\/p>\n
So, let’s see the implementation of it by taking an example.<\/p>\n
#Program :\r\n\r\nimport numpy as np\r\nimport pandas as pd\r\n\r\n# Example data\r\nstudents = [('Jill',\u00a0\u00a0\u00a0 16,\u00a0\u00a0\u00a0\u00a0 'Tokyo',\u00a0 150),\r\n('Rachel',\u00a0\u00a0\u00a0 38,\u00a0\u00a0\u00a0\u00a0 'Texas',\u00a0\u00a0 177),\r\n('Kirti',\u00a0\u00a0\u00a0 39,\u00a0\u00a0\u00a0\u00a0 'New York',\u00a0 97),\r\n('Veena',\u00a0\u00a0 40,\u00a0\u00a0\u00a0\u00a0 'Texas',\u00a0\u00a0 np.NaN),\r\n('Lucifer',\u00a0\u00a0 np.NaN, 'Texas',\u00a0\u00a0 130),\r\n('Pablo', 30,\u00a0\u00a0\u00a0\u00a0 'New York',\u00a0 155),\r\n('Lionel',\u00a0\u00a0 45,\u00a0\u00a0\u00a0\u00a0 'Colombia', 121) ]\r\ndfObj = pd.DataFrame(students, columns=['Name','Age','City','Score'])\r\n#Sum of all the scores from New York city\r\ntotalSum = dfObj.loc[dfObj['City'] == 'New York', 'Score'].sum()\r\nprint(totalSum)<\/pre>\n
Output :\r\n252.0<\/pre>\n","protected":false},"excerpt":{"rendered":"
How to get the sum of column values in a dataframe in Python ? In this article, we will discuss about how to get the sum To find the sum of values in a dataframe. So, let’s start exploring the topic. Select the column by name and get the sum of all values in that …<\/p>\n
  Pandas: Get sum of column values in a Dataframe<\/span> Read More »<\/a><\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true},"categories":[5],"tags":[],"yoast_head":"\nPandas: Get sum of column values in a Dataframe - Python Programs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/python-programs.com\/pandas-get-sum-of-column-values-in-a-dataframe\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: Get sum of column values in a Dataframe - Python Programs\" \/>\n<meta property=\"og:description\" content=\"How to get the sum of column values in a dataframe in Python ? 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