reset_index pandas
df.reset_index(drop=True, inplace=True)reset_index pandas
df.reset_index(drop=True, inplace=True)numpy series reset index
>>> s.reset_index(inplace=True, drop=True)
>>> s
0 1
1 2
2 3
3 4
Name: foo, dtype: int64reset index pandas
df.reset_index(drop=True)reset_index(drop=true)
In [194]: df.reset_index(drop=True)
Out[194]:
_worker_id foo
0 A 1
1 B 2
2 C 3pandas dropna
df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],
... "toy": [np.nan, 'Batmobile', 'Bullwhip'],
... "born": [pd.NaT, pd.Timestamp("1940-04-25"),
... pd.NaT]})
>>> df
name toy born
0 Alfred NaN NaT
1 Batman Batmobile 1940-04-25
2 Catwoman Bullwhip NaT
##Drop the rows where at least one element is missing.
>>> df.dropna()
name toy born
1 Batman Batmobile 1940-04-25Copyright © 2021 Codeinu
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