Have a df with values
name date
tom 2019-12-10 07:44:03.733
mark NaT
if i try this:
data = df.to_dict("records")
mydb.test.insert_many(data)
I'm getting this error:
ValueError: NaTType does not support utcoffset
How to send this data to mongodb without NaT and keeping the column empty without converting to string.
expected data in mongodb:
{
_id:ObjectId(5db012b123a2a1cabcc12345),
name:tom,
date:2019-10-23T10:55:50.569+00:00
}
{
_id:ObjectId(5db012b123a2a1cabcc12346),
name:mark
}
You can convert NaT
to None
, like below:
If your df['date']
is not a datetime
column, convert it into one.
df['date'] = pd.to_datetime(df['date'])
df['date'] = df['date'].astype(object).where(df['date'].notnull(), None)
Then you can insert this in mongo
.
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