AddField( in_table=toFeatureClass, field_name="LOCALITY", field_type="DOUBLE", # Use DOUBLE for high-precision numbers field_precision=15, # Total number of digits field_scale=0, # No decimal places field_alias="Locality", field_is_nullable="NULLABLE", field_is_required="...
When saving DataFrame to MySQL, Pandas will map Python float (by default double precision) to MySQL FLOAT (by default single precision). I couldn't find a way to either specify the use of MySQL DOUBLE, or MySQL DECIMAL. When saving some financial data this will cause loss of precision. ...
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