Error updating openoffice 2 3 1 for windows
Don’t worry, though: New versions should stay backward compatible with the instructions in this book for quite some time.
If you have a newer version and want to see what additional features may be available to you, you can check out the full documentation for Open Py XL at data type is explained further in Chapter 16.
Whenever you edit a spreadsheet you’ve loaded from a file, you should always save the new, edited spreadsheet to a different filename than the original.
That way, you’ll still have the original spreadsheet file to work with in case a bug in your code caused the new, saved file to have incorrect or corrupt data.
You can download the complete program from Many businesses and offices use Excel to store various types of data, and it’s not uncommon for spreadsheets to become large and unwieldy.
Even if it takes just a few seconds to calculate a county’s population by hand, this would take hours to do for the whole spreadsheet.
In this project, you’ll write a script that can read from the census spreadsheet file and calculate statistics for each county in a matter of seconds.
print('Reading rows...') ❹ for row in range(2, sheet.max_row 1): # Each row in the spreadsheet has data for one census tract.
state = sheet['B' str(row)].value county = sheet['C' str(row)].value pop = sheet['D' str(row)].value # TODO: Open a new text file and write the contents of county Data to it., which will contain the populations and number of tracts you calculate for each county.This is what your program does: , and each row holds the data for a single census tract.