Answers for "python Pandas,"

25

pandas dataframe

>>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
...                    columns=['a', 'b', 'c'])
>>> df2
   a  b  c
0  1  2  3
1  4  5  6
2  7  8  9
Posted by: Guest on May-14-2020
2

pandas

#for dropping a column in a dataframe
df = df.drop(['PassengerId'], axis = 1)

#for selecting all columns except one
df.iloc[:, df.columns != "Survived"]

#for checking nan values is a column
df['your column name'].isnull()
Posted by: Guest on November-30-2020

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