When a pandas DataFrame contains NaN values (which can often be used to represent missing values), attempts to use it as an input for a Container Input (Table) node result in failure. If these NaN values are properly converted to null values in the JSON payload to KNIME, then the Container Input (Table) node will successfully parse them and represent them as Missing Value cells.
When a pandas DataFrame contains
NaNvalues (which can often be used to represent missing values), attempts to use it as an input for a Container Input (Table) node result in failure. If theseNaNvalues are properly converted tonullvalues in the JSON payload to KNIME, then the Container Input (Table) node will successfully parse them and represent them as Missing Value cells.