Trying to read the Credit Card Fraud data set on Kaggle. The first column represents times of transactions counted in milliseconds, which Julia interprets as
Int64. This is fine until it encounters
1e+05 in line 153759, which gets parsed as
Float64 and causes an error.
Is there a kwarg to handle this, or a workaround other than specifying a vector of types for all columns?
ERROR: CSV.ParsingException("error parsing a Int64 value on column 1, row 153759; encountered 'e'")