How to import filtered excel table into python?

Question

I have an excel table, it looks like

Then, I created a filter on the column Sex to get all the female data, it looks like:

Then, I want to

Answer 1

As mentioned earlier in comments, a very quick and dirty way to do the trick is copying your filtered data in a new Excel file (without any filter) and get data from such a file.

A more elegant and complete solution consists in using openpyxl to read filtered data.

First, install openpyxl

$ pip install openpyxl

Then, use a script like this one to read just visible data:

from openpyxl import load_workbook

wb = load_workbook('foo.xlsx') # use the actual path of your workbook
ws = wb['Bar'] # use your sheet name instead of Bar

# iterate over all the rows in the sheet
for row in ws: 
    # use the row only if it has not been filtered out (i.e., it's not hidden)
    if ws.row_dimensions[row[0].row].hidden == False:
        print row # ...or do what you need

Note that row is a tuple of Cells. Use the attribute value for accessing to each cell's value:

    if ws.row_dimensions[row[0].row].hidden == False:
        for cell in row:
            print cell.value 

You can use that logic to get your values straight from the original filtered file.

PS: openpyxl provides also a cool Pandas integration out of the box.