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I am trying to export a dataset from my company's Domo instance and am getting the following error when trying to run the following code (I have removed the actual client_id, client_secret, and data_set_id:
import pandas as pd
domo = Domo('client_id','client_secret', api_host='api.domo.com')
domo.ds_get('data_set_id')```
results in `TypeError: <class 'bool'> is not convertible to datetime`
I checked the github and it looks like the function definition for the ds_get function attempts the following on each column of the dataset:
`for col in df.columns:
if df[col].dtype == 'object':
try:
df[col] = to_datetime(df[col])
except ValueError:
pass`
This seems to be where I am getting the TypeError which appears to be failing because this try-except block looks to only handle ValueErrors. Is there any way to get around this?
The text was updated successfully, but these errors were encountered:
The solution is to add an exception for TypeError. I just pushed the ds-upsert branch that includes this fix. Can you try it out and see if it works? I'll publish to pip in the next few days.
I am trying to export a dataset from my company's Domo instance and am getting the following error when trying to run the following code (I have removed the actual client_id, client_secret, and data_set_id:
The text was updated successfully, but these errors were encountered: