Inplace=true with a function

[Scott]

Hi everyone,

I have written a function and I want it to:

1) have inplace=True so it overrides what is in the df
2) loops through all variables in the df

My function is below:

def binning(var):
    bin_list = []
    for i in var:
        if i <= np.percentile(var, 25): bin_list.append(1)
        elif i <= np.percentile(var, 50): bin_list.append(2)
        elif i <= np.percentile(var, 75): bin_list.append(3)
        else: bin_list.append(4)
    return bin_list

print(binning(credit["PAY_0"].values))

I have about 20 variables I'd like it to go through.

I appreciate any help.

Thanks

[Gribouillis]

Not an answer, but I think numpy.digitize() or pandas.cut() could be used here.