Diagram
ValueError: NaTType does not support utcoffset error occurs in Python when “you try to set the utcoffset property of a NaTType object.”
A NaTType object is a particular datetime object representing a missing date or time. It does not have a timezone, so it does not have a utcoffset property.
NaT is used to represent missing or null datetime values in Pandas.
When working with pandas in Python, especially with datetime-like objects containing a NaT (“Not a Time”).
How to fix it?
Here are two ways to fix the ValueError: NaTType does not support utcoffset error.
- Drop the NaT values
- Fill in the NaT values
Solution 1: Drop the NaT values
To drop the NaT values from Series or DataFrame, you can “use the dropna() method.”
For Series
import pandas as pd
# Sample Series with NaT values
s = pd.Series([pd.Timestamp('2023-01-01'), pd.NaT,
pd.Timestamp('2023-01-03')])
# Drop NaT values
s = s.dropna()
print(s)
Output
0 2023-01-01
2 2023-01-03
dtype: datetime64[ns]For DataFrame
import pandas as pd
# Sample DataFrame with NaT values in 'dates' column
df = pd.DataFrame({
'dates': [pd.Timestamp('2023-01-01'), pd.NaT, pd.Timestamp('2023-01-03')],
'values': [10, 20, 30]
})
# Drop NaT values
df = df.dropna()
print(df)
Output
dates values
0 2023-01-01 10
2 2023-01-03 30Solution 2: Fill in the NaT values
To fill the NaT values instead of dropping them, you can “use the fillna() method.”
For Series
import pandas as pd
# Sample Series with NaT values
s = pd.Series([pd.Timestamp('2023-01-01'), pd.NaT,
pd.Timestamp('2023-01-03')])
s = s.fillna(pd.Timestamp('2023-01-01'))
print(s)
Output
0 2023-01-01
1 2023-01-01
2 2023-01-03
dtype: datetime64[ns]For DataFrame
import pandas as pd
# Sample DataFrame with NaT values in 'dates' column
df = pd.DataFrame({
'dates': [pd.Timestamp('2023-01-01'), pd.NaT, pd.Timestamp('2023-01-03')],
'values': [10, 20, 30]
})
df['dates'] = df['dates'].fillna(pd.Timestamp('2023-01-01'))
print(df)
Output
dates values
0 2023-01-01 10
1 2023-01-01 20
2 2023-01-03 30Conclusion
By dropping or filling the NaT values, you ensure that subsequent operations on the datetime-like objects won’t face the “NaTType does not support utcoffset” error.
Related posts
AttributeError: ‘NaTType’ object has no attribute ‘isna’
AttributeError: can only use .dt accessor with datetimelike values
AttributeError: module ‘datetime’ has no attribute ‘strptime’
Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Python language stands as a testament to his versatility and commitment to the craft.
