It tries them in order until it one succeeds. Modify the arguments to strptime so that it can take a list of format strings. My guess is that this would be quite a substantial change. So in the above example you'd use %Y-%m-%d %H:%M:%S. ![]() So in the above example you'd use %Y-%m-%d %H:%M:%s. I note that %s is not yet taken, so we could use that. Option BĪdd a new format code for parsing seconds and optionally microseconds in one go. So in the above example you'd use %Y-%m-%d %H:%M:%S%F. I note that %F is not yet taken, so we could use that. Return numpy datetime64 format in nanoseconds. It is also possible to create datetimes from an integer by. Although I do know that the implementation of this function depends on the system, so this might be a tricky change.Īdd a new format code which is similar to %f, but can handle an empty microsecond component. Timestamp is the pandas equivalent of pythons Datetime and is interchangeable with it in most cases. The most basic way to create datetimes is from strings in ISO 8601 date or datetime format. I think it would be nice if strptime could handle that for me. In my code I could write a try/except block to catch the error and try with a different string. ![]() Raise ValueError("time data %r does not match format %r" % Tt, fraction, gmtoff_fraction = _strptime(data_string, format)įile "/home/ec2-user/.pyenv/versions/3.8.11/lib/python3.8/_strptime.py", line 349, in _strptime File "/home/ec2-user/.pyenv/versions/3.8.11/lib/python3.8/_strptime.py", line 568, in _strptime_datetime
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