Reputation: 37
I'm so new to this I don't have the vocabulary to properly frame the question. Nor do I know how to include the output very well.
I'm trying to slice a multi indexed dataframe of COVID19 data. I want to select data from countries other than China. I know how to slice using a multiindex based on countries I want to see, I just don't know how to look at everything but a country or set of countries.
1/22/20 1/23/20 1/24/20...
Country Province
China Hubei 28 28 28
Italy NaN 0 0 0
...
Obviously the dataframe is much bigger. All I want to do is slice by excluding rather than explicitly including.
df.loc['China']
Gives me all rows with China. How do I slice to exclude? Below doesn't work, but it gives the idea:
df.loc[!='China']
Any hints?
Thanks!
Upvotes: 1
Views: 61
Reputation: 862641
Use Index.get_level_values
with filtering in boolean indexing
:
df1 = df[df.index.get_level_values(0) != 'China']
print (df1)
1/22/20 1/23/20 1/24/20
Country Province
Italy NaN 0 0 0
Upvotes: 1