Make `filter_column_isin` able to handle multiple columns

[raffaem]

I propose to make filter_column_isin able to handle multiple columns.

Here is an example (currently doesn't work):

df = pd.DataFrame(
     {
         "Year": [1999, 2000, 2004, 1999, 2004],
         "Taxon": [
             "Saccharina",
             "Saccharina",
             "Saccharina",
             "Agarum",
             "Agarum",
         ],
         "Abundance": [4, 5, 2, 1, 8],
     }
 )

myfilt = [[1999, "Saccharina"], [2000, "Saccharina"]]

# Works
mask = df.set_index(["Year", "Taxon"]).index.isin(myfilt)
df[mask]

# Doesn't work
df.filter_column_isin(["Year", "Taxon"], myfilt)

[samukweku]

a dictionary approach would be cleaner. At the same time maybe we deprecate and just use pandas isin directly?