Merging 2 excel sheet in Python
I have 2 separate excel sheets with multiple rows – Excel_1, Excel_2. Both the excels have same column names.
How to get a DataFrame, separate it in to smaller segments and write those into a excel workbook in different worksheets
I have this big data base that I need to separate into diferent segments (diferent “valid until dates”) and then get each o the segments into a excel workbook. Each of the segments also should have its own excelsheet.
Color indices of dataframe
I have the following code
read_excel returns a dataframe with only 1 filled column and everything else empty, when it’s not
I am using python pandas to extract information from 3 different data sheets in excel. Read_excel works for the other 2 dataframes, but for the last one it returns only 1 column, everything else empty.
Pandas dataframe group by column get count of two columns
I am pulling in data from an excel spreadsheet and creating a list of dictionary objects from the rows in that spreadsheet. I converted that to a pandas dataframe. In this data frame I have a column with unique names and then two more columns success and failed in these column I was keeping a count per so either 1 0.
If I didn’t know the amount of empty cells in Excel file and I wanted to skip them so I can process the first column title how would I do this?
My skip counter is off by one. It is not recognizing the first index and is throwing off the count. This is important because with the wrong counter it will not skip the correct amount of rows and an error will occur due to pandas not being able to find the correct columnenter image description here titles