What exactly happens when Pandas issues this warning? Should I worry about it?
In : read_csv(path_to_my_file)
DtypeWarning: Columns (4,13,29,51,56,57,58,63,87,96) have mixed types. Specify dtype option on import or set low_memory=False.
data = self._reader.read(nrows)
low_memory is apparently kind of deprecated, so I wouldn't bother with it.
The warning means that some of the values in a column have one dtype (e.g.
str), and some have a different dtype (e.g.
float). I believe pandas uses the lowest common super type, which in the example I used would be
You should check your data, or post some of it here. In particular, look for missing values or inconsistently formatted
float values. If you are certain your data is correct, then use the
dtypes parameter to help