select DF columns python
df = df.iloc[:,0:2]
df = df[['column1', 'column2']]select DF columns python
df = df.iloc[:,0:2]
df = df[['column1', 'column2']]python - subset specific columns name in a dataframe
columns = ['b', 'c']
df1 = pd.DataFrame(df, columns=columns)select columns pandas
df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.Select a Column in pandas data Frame notation
df.favorite foodSelect a Column in pandas data Frame
>>> import pandas as pd>>> df = pd.read_csv('data/sample_data.csv', index_col=0)>>> dfselect columns in pandas df
In [8]: age_sex = titanic[["Age", "Sex"]]
In [9]: age_sex.head()
Out[9]:
Age Sex
0 22.0 male
1 38.0 female
2 26.0 female
3 35.0 female
4 35.0 maleCopyright © 2021 Codeinu
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