Then convert the summed results to a list, edit the list so that the first value is 'The sum is' and then append it to the original dataframe. Sum the columns, (python will concatenate the strings in the 'kind' column when sum is applied). The Sum is (end result)| sum1 | sum2 | sum3 | sum4 | sum5 | sum6 | empty |ĭf kind num1 num2 num3 num4 num5 num 6 Percent Sample Data: kind (skip row and col | num1 | num2 | num3 | num4 | num5 | num 6 | %(skip) | This is my first coding: import pandas as pd import os filename 'siteoperation.csv' path '. The qualification that has the lowest total input costs. The qualification that has the highest total input costs.
With the code above I am getting the following error: ValueError: could not convert string to float: 'some item' All qualifications with the respective sum of deployment costs. Reader=pd.read_excel(r'pythonexcel.xlsx',sheet_name=month,skipcols=,ĭata.to_excel(writer,sheet_name=month,header=False, index = None,startrow=len(reader)+1)īut I am having the following issue, I can't sum, the first row of the excel is text as well as the first column, also the last column is percentage so I wouldn't want to sum that as well EDIT That is why I am having the skiprows and skipcols in the reader, but it doesn't seem to work. Now you could delete any column within the sum range and Excel will automatically adjust. Create a new column in the DataFrame through the syntax dfnewcolumn and set it equal to this Series to add it to the DataFrame.
Writer.book=load_workbook('pythonexcel.xlsx') A formula using explicit cell references like SUM(B2,C2,D2). Writer=pd.ExcelWriter('pythonexcel.xlsx',engine='openpyxl',index=False) Reader = pd.read_excel(r'ΕΟΠΥΥ.xlsx',sheet_name=minas)ĭata.to_excel(writer,sheet_name=minas,header=False, index = None,startrow=len(reader)+1) Finding the sum of a pandas.DataFrame column results in the summation of all the values in that.
Writer.sheets=dict((ws.title,ws) for ws in ) How to find the sum of a Pandas DataFrame column in Python. Writer.book = load_workbook('ΕΟΠΥΥ.xlsx')
Writer= pd.ExcelWriter('ΕΟΠΥΥ.xlsx',engine='openpyxl', index=False) I have an excel and an 'if' inside my code.