python - Removed Rows from Pandas Dataframe - Now Indexes Are Messed Up? -


so have dataframe in pandas includes genders of patients. wanted sort gender used:

df = df[df.gender == 0]

but when print dataframe like: 

    gender 0     0 2     0 5     0

where row indexes on left stay before row removal , don't "resequence" 0, 1, 2 etc. making difficult or impossible iterate through right now. how resequence row indexes? 

df = df[df.gender == 0]

is taking slice of df df.gender equal 0. expected. bringing along it, row indices each of rows df.gender equal 0. correct , has many wonderful benefits.

if don't want see that, , instead want order 0 whatever, others have suggested in comments.

df = df[df.gender == 0].reset_index(drop=true)

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