use low_memory option to avoid DType warning #60
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It's not efficient but will do for now. Sometimes a CSV file can contain string and numbers and it's difficult for pandas to guess the type of each columns by looking at the first rows (a row can contain -1 and then string data, or even being empty). So we use the low_memory=False option which will have to read the all file to guess the type of each columns. Let see if we find a better way in the future.
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It's not efficient but will do for now.
Sometimes a CSV file can contain string and numbers and it's difficult for pandas to guess the type of each columns by looking at the first rows (a row can contain -1 and then string data, or even being empty).
So we use the low_memory=False option which will have to read the all file to guess the type of each columns.
Let see if we find a better way in the future.