dropping nan in pandas dataframe

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Hafsa
05 Jan 2018
1df = df[df['EPS'].notna()]
source
Juan David
30 Oct 2016
1df.dropna(subset=['name', 'born'])
source
Greta
23 May 2016
1df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],
2...                    "toy": [np.nan, 'Batmobile', 'Bullwhip'],
3...                    "born": [pd.NaT, pd.Timestamp("1940-04-25"),
4...                             pd.NaT]})
5>>> df
6       name        toy       born
70    Alfred        NaN        NaT
81    Batman  Batmobile 1940-04-25
92  Catwoman   Bullwhip        NaT
10
11##Drop the rows where at least one element is missing.
12>>> df.dropna()
13     name        toy       born
141  Batman  Batmobile 1940-04-25
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