I have a dataset of transactions with for example the columns: UserID, IBAN, Timestamp, Amount.

I have a dataframe as such:

I have created the following pandas dataframe:

I have a panads dataframe from wiki

So I have 2 columns in a pandas dataframe, which are float values. I wanted to group the median values of the 2nd column based on the ranges in the first column (used pd.df.groupby). So I started with uniform ranges, such that if the first column’s values have a range of 20 to 40, so I group them in bins of size 2 (using np.linspace). But the resulting distribution table is not so informative to me, as the sizes are not distributed uniformly.

I’m new to pandas and am struggling with some data wrangling issues.