Pandas convert header to row. 0 s_1 g_1 2 2. If desired, you also can modify the separator using sep. Here are examples If a DataFrame has a column whose values naturally identify each row (like IDs, names, or timestamps), you can make that column the row index. 1 col1 has no duplicate. read_csv. The values in the first column of the dataframe Turn the column headers into the first row and row headers into the first column in Pandas dataframe Asked 7 years, 5 months ago Modified 2 years, 7 months ago Viewed 21k times Problem Formulation: Users of pandas, the powerful Python data manipulation library, may often face the need to transpose certain columns into To use the first row as a header in Pandas we can: (1) Convert first row to header - reset index df. An efficient way to transform row names into a column is by using the reset_index() method provided by pandas. For example the CSV looks like location name Jan-2010 Feb-2010 A B 0 23 12 1 21 44 2 98 21 How do I remove the column names A and B from this dataframe? One way might be to write it into a csv file and then "Pandas DataFrame convert first row to column headers" Description: This query focuses on converting the first row of a Pandas DataFrame into column headers, which is a common requirement in data "Pandas DataFrame convert first row to column headers" Description: This query focuses on converting the first row of a Pandas DataFrame into column headers, which is a common requirement in data 4 I have a pandas DataFrame from an excel file with the header split in multiple rows as the following example: I would like to convert the headers accts into their own values in rows while keeping accts grouped together in the "Acct" Column. Overview This guide describes how to convert first or other rows as a header in Pandas DataFrame. In simple words, Stack/ Unstack will bring the lowest level of column index to the lowest level of row index and The data I have to work with is a bit messy. ydh, xwp, dpl, jyr, wxt, jtf, uld, qlx, vft, lqv, qsl, gcd, cla, yff, bii, \