dropna 28 29 python

1>>> df.dropna(how='all')
2

1>>> df.dropna(inplace=True)
2>>> df
3     name        toy       born
41  Batman  Batmobile 1940-04-25
5

1>>> df.dropna(subset=['name', 'toy'])
2       name        toy       born
31    Batman  Batmobile 1940-04-25
42  Catwoman   Bullwhip        NaT
5

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]})
5df
6# o/p
7#        name        toy       born
8# 0    Alfred        NaN        NaT
9# 1    Batman  Batmobile 1940-04-25
10# 2  Catwoman   Bullwhip        NaT
11
12
13# Drop the rows where at least one element is missing.
14df.dropna()
15# o/p
16#      name        toy       born
17# 1  Batman  Batmobile 1940-04-25
18
19# ref. https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dropna.html

1#Drop the rows where at least one element is missing.
2df.dropna()