Python - How to check a data format in a Pandas DataFrame column?

Question

I have a PD DataFrame and want to test 1)if a column contains a value and 2)if values in another column are in a format of positive percent decimal numbers?

I test if an Id value is not in the DF like this: assert "C50" not in metrics_df["id"].tolist() .

How can I check that the values in a metric_1 column are in the right format of percent decimal (0.05; 0.238)? The only valid value of

    df = self.spark.createDataFrame(
        [('A10', -0.35, '2020-01-04'),
         ('A20', -0.20, '2017-05-01'),
         ('B30', 0.59, '2018-02-08'),
         ],
        ['id', 'metric_1', 'transaction_date']
    )

Answer 1

If I understand it correctly, this could help you:

assert (box_raw["metric_1"] < 1).all() and (box_raw["metric_1"] > 0).all()