Aug 3, 2021
Yes good point, for a python list (and probably other data types too). You’re not wrong. Doesn’t work well for a Pandas series though. But, as usual, there are other options. See for example this then:
import pandas as pddata = {'var1':[1,2,3,4,5],
'var2':'This here is five words'.split()}
df = pd.DataFrame(data)# Try in... (returns False)
'here' in df['var2']# Try in... with to_list() method (returns True)
'here' in df['var2'].to_list()# And, I'd also point folks to .isn().max().sum()
# which is probably also functionally equivalent.
# Returns True
df['var2'].isin(['This', 'now']).max()# Returns One (1)
df['var2'].isin(['This', 'now']).max().sum()
Thanks for the comment and suggestion.
