Панда премахване на колона с всички nas

Примерен код

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0

премахване на nan в рамка данни pandas

df.dropna(subset=['name', 'born'])
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как да премахнете стойности na в рамка данни

# if you want to delete rows containing NA values
df.dropna(inplace=True)
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панда падат

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 1940-04-25
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при превод от прозорец на данни в списък изтрийте стойността nan

a = [[y for y in x if pd.notna(y)] for x in df.values.tolist()]
print (a)
[['str', 'aad', 'asd'], ['ddd'], ['xyz', 'abc'], ['btc', 'trz', 'abd']]

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