select columns in pandas df

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Beatrice
30 Oct 2018
1columns = ['b', 'c']
2df1 = pd.DataFrame(df, columns=columns)
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Cecilia
08 Jan 2020
1df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.
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Helena
27 Jan 2020
1In [25]: titanic.iloc[9:25, 2:5]
2Out[25]: 
3    Pclass                                 Name     Sex
49        2  Nasser, Mrs. Nicholas (Adele Achem)  female
510       3      Sandstrom, Miss. Marguerite Rut  female
611       1             Bonnell, Miss. Elizabeth  female
712       3       Saundercock, Mr. William Henry    male
813       3          Andersson, Mr. Anders Johan    male
9..     ...                                  ...     ...
1020       2                 Fynney, Mr. Joseph J    male
1121       2                Beesley, Mr. Lawrence    male
1222       3          McGowan, Miss. Anna "Annie"  female
1323       1         Sloper, Mr. William Thompson    male
1424       3        Palsson, Miss. Torborg Danira  female
15
16[16 rows x 3 columns]
17
source
Irene
20 Jul 2019
1In [8]: age_sex = titanic[["Age", "Sex"]]
2
3In [9]: age_sex.head()
4Out[9]: 
5    Age     Sex
60  22.0    male
71  38.0  female
82  26.0  female
93  35.0  female
104  35.0    male
11
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