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']]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 column in pandas dataframe
Report_Card.loc[:,"Grades"] The first argument ( : ) signifies which rows we would like
to index, and the second argument (Grades) lets us index the column we wantselect 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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