Reputation: 61
How can I get/select nan in Index of a Dataframe. I have made a MultiIndex dataframe with 4 levels in which 1st level has some nan values which i want in another dataframe
i tried many methods of getting null values but none of those seems to work with index as null heres an example Fruit and color are my index and i want to get those rows with nan values
Count Price
Fruit Color
Apple Red 3 $1.29
nan Green 9 $0.99
Pear Red 25 $2.59
nan Green 26 $2.79
Lime Green 99 $0.39
Upvotes: 2
Views: 679
Reputation: 863741
Test first level of MultiIndex
extracted by Index.get_level_values
with Index.isna
and filter by boolean indexing
:
df2 = df[df.index.get_level_values(0).isna()]
print (df2)
Count Price
Fruit Color
NaN Green 9 $0.99
Green 26 $2.79
Or get MultiIndex.codes
and compare by -1
:
df2 = df[df.index.codes[0] == -1]
print (df2)
Count Price
Fruit Color
NaN Green 9 $0.99
Green 26 $2.79
Upvotes: 6