.isin returns a boolean Series, you need to use | for logical OR between the values.
try this:
df[df.col_A.isin(processes) | df.col_B.isin(processes) | df.col_C.isin(processes)]
I want to see if I have some values from a list in multiple columns from my pandas dataframe.
Basically, I want to look over my column A, B and C if the values from a list exists and if so filter the rows where those values exist. For that I am using this:
processes = ['process_A', 'process_B']
df[df.col_A.isin(processes),df.col_B.isin(processes), df.col_C.isin(processes)].any()
And already try this:
df[df.col_A.isin(processes) OR df.col_B.isin(processes) or df.col_C.isin(processes)]
But I got a lot of errors or unexpectables results.
.isin returns a boolean Series, you need to use | for logical OR between the values.
try this:
df[df.col_A.isin(processes) | df.col_B.isin(processes) | df.col_C.isin(processes)]