numpy newbie question

[jefsummers]

OK, got you close -
Since numpy is a numerical oriented library, I decided to use Pandas.

import pandas as pd
from todoist_api_python.api import TodoistAPI

# Fetch tasks synchronously
def get_tasks_sync():
    api = TodoistAPI("XXXXXX")
    try:
        tasks = api.get_tasks()
        return tasks
    except Exception as error:
        print(error)

tasklist = get_tasks_sync()
itemlist = [] #start a list of the tasks
for task_obj in tasklist: # recognize that you have a set of Task objects to convert to strings
    task = task_obj.__str__() # convert to a string
    item = task[5:-1] # Get rid of "Task("
    item = item[0:-3] # Get rid of closing parens
    item = item.split(',') # Now split the string on commas into the individual fields
    itemlist.append(item) # Add this list of fields to the list of tasks
    
df = pd.DataFrame(itemlist) #Turn it into a dataframe
df.head() #show result