gsheet_get_col_as_list

This function gets the data of a Google sheet column as a Python list using the gspread package. Each cell in the column will become an item in the list.

Note

Google-sheet-related functions require a security token to be set up prior to use. Read the Google Sheets Setup for a guide on how to do this.

Arguments:

• sheet_key (string, mandatory)
  • the unique key for identifying the google sheet
  • can be found in the url of the sheet between /d/ and /edit?
• tab_name (string, mandatory)
  • the name of the tab you want to update within the google sheet
  • "tab" is an informal term, officially these are called "worksheets" within Google's documentation
• col_num (integer, optional, default=1)
  • the number of the column you want to convert
  • column numbers start at 1 for column A, which is the default
• ignore_header (boolean, optional, default=False)
  • if set to True, will skip the first row of the column
• oauth (boolean, optional, default=False)
  • by default this function assumes you want to use a google service account for authentication
  • setting this to True attempts to use an OAuth token instead

Returns:

• col (list)
  • a list of the values in the column

Examples

The following examples uses this Google sheet.

First, we start with a Google sheet populated with segment info.

Default Behavior

The following code will grab the data in the first column and return it as a Python list.

INPUT:

import tracertools as tt

col_data = tt.gsheet_get_col_as_list(
    sheet_key = "1Qvm6AVyd2zI7BRTHrvJOM_-QvI3vR3qW9pW3_WucGsc",
    tab_name = "seg_info",
)

print(col_data)

OUTPUT:

[
    'seg_id', 
    '720575941473274509', 
    '720575941524660200', 
    '720575941565377335'
]

Picking a Different Column and Ignoring the Header

The following code will grab the data in the fourth column and return it as a Python list without the header from the first row.

INPUT:

import tracertools as tt

col_data = tt.gsheet_get_col_as_list(
    sheet_key = "1Qvm6AVyd2zI7BRTHrvJOM_-QvI3vR3qW9pW3_WucGsc",
    tab_name = "seg_info",
    col_num = 4,
    ignore_header = True,
)

print(col_data)

OUTPUT:

[
    '2453811.5', 
    '587790.9375', 
    '2826879.75'
]