python resolves an issue where pandas handles missing values as empty strings

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Pit Record:

Use pandas to do CSV missing value processing time found strange bug, that is, Excel open CSV file, obviously there is nothing in the lattice, of course, I think with pandas Dropna () or Fillna () to deal with the missing values.

But pandas read the CSV file and found that empty place IsNull () unexpectedly is false, that is the place there is something ...

Later after the investigation found that nothing seems to have empty strings, so Pandas think there is no missing value, so you can not use Dropna () or Fillna () to deal with.

Solution: First use the regular to match the space, and then replace all the null, and then read the CSV with pandas to specify Read_csv (na_values= ' Null ') means that null is treated as Nan and can then be processed with Dropna () or Fillna ().

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