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For certain fields the data type is being interpreted as something undesirable before being converted, changing the data institutionally. For example, this happens with 'Latitude', 'Longitude', which gets truncated as a float type before it gets converted to a string type. This could be happening with other columns as well, but only those two columns are confirmed. We should give the pandas read_csv method fixed data types (at least for the columns we care about and have fixed type information for) to read the data.
The text was updated successfully, but these errors were encountered:
alexkcode
changed the title
Fix initial pandas data type interpretation
Fix pandas data type interpretation
Mar 6, 2024
For certain fields the data type is being interpreted as something undesirable before being converted, changing the data institutionally. For example, this happens with
'Latitude', 'Longitude'
, which gets truncated as afloat
type before it gets converted to a string type. This could be happening with other columns as well, but only those two columns are confirmed. We should give the pandasread_csv
method fixed data types (at least for the columns we care about and have fixed type information for) to read the data.The text was updated successfully, but these errors were encountered: