Get the columns where value is changing timeseriesly

Question

My dataframe has more than 200 columns. Sample Dataframe looks like

Date        Tkr col1    col2    col3
20210101    APD 20.0    19.0    15.0
20210101    BCD 20.0    19.0    15.0
20210102    APD 19.0    19.0    15.0
20210102    BCD 20.1    19.2    15.0

I'm trying to extract the columns from col1, col2, col3, where values of these columns are changing daily for any Tkr. For example col3 is not changing, for any Tkr on any Date, but the value of col1 is changing for every Tkr & col2 is changing for any one Tkr, so i'm trying to get col1 and col2.

I'm thinking to implement it with groupBy 'Date' & Tkr, but after that, i need help to do this.

Answer 1

IIUC, you can use nunique:

>>> df.iloc[:, 2:].nunique().loc[lambda x: x > 1].index.tolist()
['col1', 'col2']