dropna pandas

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Malena
13 Feb 2020
1df.dropna()
2
source
Vincenzo
01 Jan 2021
1# importing pandas module
2import pandas as pd
3  
4# making data frame from csv file
5data = pd.read_csv("nba.csv")
6  
7# making new data frame with dropped NA values
8new_data = data.dropna(axis = 0, how ='any')
9  
10
11
source
Fabio
27 Apr 2019
1>>> df.dropna(axis='columns')
2       name
30    Alfred
41    Batman
52  Catwoman
6
source
Cherry
14 Jan 2017
1>>> df.dropna(inplace=True)
2>>> df
3     name        toy       born
41  Batman  Batmobile 1940-04-25
5
source
Valentino
30 Feb 2016
1>>> df.dropna(subset=['name', 'toy'])
2       name        toy       born
31    Batman  Batmobile 1940-04-25
42  Catwoman   Bullwhip        NaT
5
source
Isabel
01 May 2020
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
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