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Use np.asarray to convert a 1-D array to datetime type in array_to_datetime #2481

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merged 8 commits into from
Apr 6, 2023
Merged

Use np.asarray to convert a 1-D array to datetime type in array_to_datetime #2481

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1de890b
Update the array_to_datetime doctest for pandas 2.0.0
seisman Apr 5, 2023
608e29b
Refactor array_to_datetime to use np.asarray(array, dtype=np.datetime64)
seisman Apr 5, 2023
2ac723e
Use array_to_datetime in _check_dtype_and_dim
seisman Apr 5, 2023
7593354
Merge branch 'main' into pandas/2.0.0/datetime64
seisman Apr 6, 2023
51a4425
Fix a typo
seisman Apr 6, 2023
ada5616
Add a sentence about non-ISO datetime strings
seisman Apr 6, 2023
05c8b93
Fix typos
seisman Apr 6, 2023
7c3c866
Update examples/tutorials/advanced/date_time_charts.py
seisman Apr 6, 2023
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Fix a typo
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@seisman
seisman committed Apr 6, 2023
commit 51a44256e1e2eea2a7fef0940103c6c3e1d16de1
2 changes: 1 addition & 1 deletion pygmt/clib/conversion.py
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Expand Up @@ -251,7 +251,7 @@ def kwargs_to_ctypes_array(argument, kwargs, dtype):

def array_to_datetime(array):
"""
Convert an 1-D datetime array from various types into numpy.datetime64.
Convert n 1-D datetime array from various types into numpy.datetime64.
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If the input array is not in legal datetime formats, raise a ValueError
exception.
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