python: select specific columns in a data frame
df = df[["Column_Name1", "Column_Name2"]]python: select specific columns in a data frame
df = df[["Column_Name1", "Column_Name2"]]select columns to include in new dataframe in python
new = old[['A', 'C', 'D']].copy()select columns pandas
df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.select columns to include in new dataframe in python
new = old.filter(['A','B','D'], axis=1)Select 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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