'TypeError: <class 'datetime.time'> is not convertible to datetime
The problem is somewhat simple. My objective is to compute the days difference between two dates, say A and B.
These are my attempts:
df['daydiff'] = df['A']-df['B']
df['daydiff'] = ((df['A']) - (df['B'])).dt.days
df['daydiff'] = (pd.to_datetime(df['A'])-pd.to_datetime(df['B'])).dt.days
These works for me before but for some reason, I'm keep getting this error this time:
TypeError: class 'datetime.time' is not convertible to datetime
When I export the df to excel, then the date works just fine. Any thoughts?
Solution 1:[1]
When I applied the solution offered by emmet02, I got TypeError: Cannot convert input [00:00:00] of type as well. It's basically saying that the dataframe contains missing timestamp values which are represented as [00:00:00], and this value is rejected by pandas.Timestamp function.
To address this, simply apply a suitable missing-value strategy to clean your data set, before using
df.apply(pd.Timestamp)
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | machine-building |