If you have imported a CSV file into your notebook and use Pandas to view the dataframe you might find that the header of your spreadsheet is actually your first row of the dataframe. What you need is the first row to be your header and there is a simple way to do this in your notebook. First pull in your data:. Save my name, email, and website in this browser for the next time I comment.
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pandas: Transpose DataFrame (swap rows and columns)
Home Learn Data Science How to make the first row in your spreadsheet or dataframe the First pull in your data: Convert to a DataFrame and render. Use Google Colab and Kaggle Data with bonus: fastai2.
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I'm looking for a way to delete the header row and make the first row the new header row, so the new dataframe would look like this:. I've tried stuff along the lines of if 'Unnamed' in df. Here's a simple trick that defines column indices "in place". Header refer to the Row number s to use as the column names.
How to Add Header Row to a Pandas DataFrame
Make no mistake, the row number is not the df but from the excel file 0 is the first row, 1 is the second and so on. This way, you will get the column name you want and won't have to write additional codes or create new df.
Learn more. Asked 5 years, 3 months ago. Active 7 days ago. Viewed k times. Jeremy G Jeremy G 1, 1 1 gold badge 8 8 silver badges 14 14 bronze badges.
Active Oldest Votes. Simon The dataframe can be changed by just doing df. Acumenus JoeCondron JoeCondron 6, 1 1 gold badge 20 20 silver badges 26 26 bronze badges.
Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. The data I have to work with is a bit messy. It has header names inside of its data. How can I choose a row from an existing pandas dataframe and make it rename it to a column header? Using df. Because non-unique indexes can lead to stumbling blocks or potential bugs like this, it's often better to take care that the index is unique even though Pandas does not require it.
It would be easier to recreate the data frame. This would also interpret the columns types from scratch. This has the advantage of automatically dropping all the preceding rows which supposedly are junk. Learn more. Asked 6 years ago. Active 1 month ago. Viewed k times. Veedrac Active Oldest Votes. DataFrame [ 1,2,3'foo','bar','baz'4,5,6 ] In : df Out: 0 1 2 0 1 2 3 1 foo bar baz 2 4 5 6 Set the column labels to equal the values in the 2nd row index location 1 : In : df.
RangeIndex len df. Thank you so much for your quick response! How can I choose a row by value in stead of index location to make it header? So for your example something like.
Oct 1 '14 at The problem with that is there could be more than one row which has the value "foo". One way around that problem is to explicitly choose the first such row: df. Ah I see why you did that way. For my case, I know there is only one row that has the value "foo". So it is ok.
How do I use the MultiIndex in pandas?
I just did this way I guess it is the same as the one you gave me above. This works pandas v'0. Zachary Wilson Zachary Wilson 5 5 silver badges 4 4 bronze badges. You can remove the "header" row by adding.
I like this better than the actual accepted answer. I love the short oneline solutions. DataFrame df. To rename the header without reassign df: df.
Get list of column headers from a Pandas DataFrame
Govinda Govinda 1.Note that depending on the data type dtype of each column, a view is created instead of a copy, and changing the value of one of the original and transposed objects will change the other. See the following posts for transposing numpy. Parameter like inplace that change the original object itself are not provided.
If you do not want to create a new object, you can assign it to the original object itself. As in the previous examples, if the data type dtype is different for each column, T or transpose generates a copy. If you change the value of one of the original and the transposed object, the other remains the same. If all columns have the same dtypeT and transpose by default create a view instead of a copy.
Changing the value of either the original object or the transposed object also changes the other value. If you want to handle the original object and the transposed object separately, create a copy explicitly with copy.
In transposea copy is always generated if copy is set to True. Here, the following contents will be described. T pandas. DataFrame pd. Python pandas. DataFrame, Series and numpy.Let us see how to get all the column headers of a Pandas DataFrame as a list. The df. Output :. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute. See your article appearing on the GeeksforGeeks main page and help other Geeks. Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.
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