Possibility to read missing values as null

[andreybavt]

Hi, I was reading the docs and didn't find if it was possible to read missing values as null instead of empty strings.

For example here's a pandas analogy:

serialized = df.to_csv(index=False, na_rep="NA")

deserialized = pd.read_csv('filename', na_values=["NA"], keep_default_na=False)

[lwhite1]

missing values are read as empty strings only.

On Fri, Aug 26, 2022 at 11:27 AM Andrey Avtomonov @.***> wrote:

Hi, I was reading the docs and didn't find it ti was possible to read missing values as null instead of empty strings.

For example here's a pandas analogy:

serialized = df.to_csv(index=False, na_rep="NA") deserialized = pd.read_csv('filename', na_values=["NA"], keep_default_na=False)

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