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The DateFormatterCellFormatter for the DataTable recently gained a nan_format property which applies to Nones and NaNs. However when using pandas to represent times missing values are indicated through NaT types. When serialized to an integer buffer in Javascript this is represented by the value -9223372036854776. This value should therefore also be formatted using the nan_format when encountered.
The text was updated successfully, but these errors were encountered:
The
DateFormatter
CellFormatter
for theDataTable
recently gained anan_format
property which applies to Nones and NaNs. However when using pandas to represent times missing values are indicated through NaT types. When serialized to an integer buffer in Javascript this is represented by the value-9223372036854776
. This value should therefore also be formatted using the nan_format when encountered.The text was updated successfully, but these errors were encountered: