66146cc04fac06e19e8f7386b933d18c9344b232,keras_preprocessing/image/dataframe_iterator.py,DataFrameIterator,__init__,#DataFrameIterator#,79

Before Change

        self.df[x_col] = self.df[x_col].astype(str)
        self.directory = directory
        self.classes = classes
        if class_mode not in {"categorical", "binary", "sparse",
                              "input", "other", None}:
            raise ValueError("Invalid class_mode:", class_mode,
                             " expected one of "categorical", "
                             ""binary", "sparse", "input""
                             ""other" or None.")
        self.class_mode = class_mode
        self.dtype = dtype
        // First, count the number of samples and classes.
        self.samples = 0

After Change

        self.df[x_col] = self.df[x_col].astype(str)
        self.directory = directory
        self.classes = classes
        if class_mode not in self.allowed_class_modes:
            raise ValueError("Invalid class_mode: {}; expected one of: {}"
                             .format(class_mode, self.allowed_class_modes))
        self.class_mode = class_mode
        self.dtype = dtype
        // First, count the number of samples and classes.
        self.samples = 0

Instances