Find the sum and maximum value of the two column in excel file using Pandas
In these articles, we will discuss how to read data from excel and perform some mathematical operation and store it into a new column in DataFrame. Suppose our excel file looks like this.
sample_data.xlsx
Then we have to compute the sum of two-column and find out the maximum value and store into a new DataFrame column.
Approach :
- Import Pandas module.
- Read data from Excel.
- Create a new column for storing Sum and maximum.
- Set the Index of each column for accessing the element.
- Store the sum of two-columns in a new column.
- And store Maximum number from two columns in a column.
- Display DataFrame.
Step 1: Importing module and reading from excel.
Python3
# import moduleimport pandas as pd# read from excel# and store in a DataFramedf = pd.read_excel('excel_work/book_sample.xlsx')df |
Output :
Step 2: Create a new column for storing sum and max
Python3
# creation new columndf['Total'] = Nonedf['Maximum'] = Nonedf |
Output :
Step 3: Set an index for accessing the required column.
Python3
# Set index for each columnindex_selling=df.columns.get_loc('Selling Price')index_cost=df.columns.get_loc('Cost price')index_total=df.columns.get_loc('Total')index_max=df.columns.get_loc('Maximum')print(index_selling,index_cost,index_total,index_max) |
Output :
2 3 4 5
Step 4: Select each row and add a column and find maximum
Python3
for row in range(0, len(df)): df.iat[row, index_total] = df.iat[row, index_selling] + df.iat[row, index_cost] if df.iat[row, index_selling] > df.iat[row, index_cost]: df.iat[row, index_max] = df.iat[row, index_selling] else: df.iat[row, index_max] = df.iat[row, index_cost]df |
Output :
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