How do I view a specific column in pandas?

How do I see a specific column in pandas?

To select multiple columns, you can pass a list of column names to the indexing operator. Alternatively, you can assign all your columns to a list variable and pass that variable to the indexing operator. To select columns using select_dtypes method, you should first find out the number of columns for each data types.

How do I display a specific column in Python?

Picking specific columns1df['col1] This command picks a column and returns it as a Series. ... 2df[['col1']] Here, I chose the column and I get a DataFrame. ... 3df[['col1', 'col2']] ... 4df[df1['col1'] > value] ... 5df1['col1'] == value. ... 6df.ix[index] ... 7df.drop(['col1','col2'], axis=1) ... 8del df['col1']

How do I read a specific column in a DataFrame in Python?

Use pandas.1col_list = ["Name", "Department"]2df = pd. read_csv("sample_file.csv", usecols=col_list)3print(df["Name"])4print(df["Department"])