How do I select multiple columns in a data set?

How do I select multiple columns in a data frame?

There are three basic methods you can use to select multiple columns of a pandas DataFrame:1Method 1: Select Columns by Index df_new = df. iloc[:, [0,1,3]]2Method 2: Select Columns in Index Range df_new = df. iloc[:, 0:3]3Method 3: Select Columns by Name df_new = df[['col1', 'col2']]

How do you select columns from a data frame?

You can select columns from Pandas Dataframe using the df. loc[:,'column_name'] statement.

How do you select multiple fields?

To select multiple fields in the Outline tab1Click a field name to select the first field.2Hold down SHIFT and click another field name to add to the selection all the fields between the last field selected and that field.3Hold down CONTROL and click a field name to add it to or remove it from the selection.

How do I select multiple columns using LOC?

Using df[] & loc[] to Select Multiple Columns by Name By using df[] & pandas. DataFrame. loc[] you can select multiple columns by names or labels. To select the columns by names, the syntax is df.