PYTHON Pandas DataFrame I\'ve just cleaned a database, filtered potentially redu

Question

PYTHON Pandas DataFrame

I've just cleaned a database, filtered potentially redundant information. Now, I am trying to store the modifed data in a Pandas DataFrame called dfBabies. This is all on jupyter notebook. If you need more clarity, please ask.

so far, this is what i have.

df = pd.read_csv("https://www.stat.berkeley.edu/~statlabs/data/babies.data", delim_whitespace=True)
df.head(10) # simply calling and reading the database

df[(df.smoke != 9) & (df.weight != 999) & (df.height != 99) & (df.parity != 9) &
(df.gestation != 999) & (df.bwt != 999)] #Modification
  

Thank yoU!

Explanation / Answer

#simpy assign the modified dataframe to a new variable, which is dfbabies in your case dfbabies = df[(df.smoke != 9) & (df.weight != 999) & (df.height != 99) & (df.parity != 9) & (df.gestation != 999) & (df.bwt != 999)] #Modification #Modification

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