Avoid type casting errors with datetimes & dates#9
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- This turns on two flags for the pandas table conversion to treat datetime/dates as objects which helps to avoid errors like: pyarrow.lib.ArrowInvalid: Casting from timestamp[us] to timestamp[ns] would result in out of bounds timestamp: -29941464600000000 This is very useful for data derived from sql where the python datetime/postgresql types only goes to microseconds or is far in the future and causes issues with the pandas format.
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This turns on two flags for the pandas table conversion to treat
datetime/dates as objects which helps to avoid errors like:
pyarrow.lib.ArrowInvalid: Casting from timestamp[us] to timestamp[ns] would result in out of bounds timestamp: -29941464600000000
This is very useful for data derived from sql where the python
datetime/postgresql types only goes to microseconds or is far in the
future and causes issues with the pandas format.