Selecting Few Columns from a dataframe

[Shivi_Bhatia]

Hi All,
I am very new to python.

While in other languages, it is easy once the data is loaded to select only few columns of the entire dataset as i am newbie, i am finding a bit difficult to do this.
Below is the dataset i have:

1 2	[skip_rows = pd.read_excel("Org_Data.xlsx", sheet_name=2, skiprows=5) skip_rows.head(4)]

now this file have 42 columns and i need to see only 4th to 8th column from all the columns.
I am able to do this if i select and create a new dataframe but not on the existing skip_rows data.

My code below:
[subset_columns = pd.read_excel("Org_Data.xlsx", parse_cols=3:7)]
Please suggest if the above is possible without creating a new dataframe.
Thanks, Shivi

[scidam]

Once you read entire sheet

1	df = pd.read_excel("Org_Data.xlsx", sheet_name=2, skiprows=5)

you can select desired columns using .iloc:

1	df.iloc[:, 4:9]

[Shivi_Bhatia]

Thank you scidam. it helped me