Feb 22, 2017 · 77 You can set the index to your first column (or in general, the column you want to use as as index) in your dataframe first, then transpose the dataframe. For example if the …

Aug 28, 2018 · 0 This isn't quite what you're looking for, but I'm not sure that "transposition" exists as a simple function. (By the way, transpose, following linear algebra, usually means rotating a …

I have the following Pandas sub-dataframe col1 name1 name2 522 a 10 0.2 1021 b 72 -0.1 col1 has no duplicate. I want to transpose the dataframe and change the co...

Mar 14, 2022 · See the below link for more details - pyspark.pandas.DataFrame.transpose In addition to the above, you can also use Koalas (available in databricks) and is similar to …

You can transpose the single-row dataframe (which still results in a dataframe) and then squeeze the results into a series (the inverse of to_frame).

Dec 9, 2021 · If I try to simply transpose the dataframe then I cannot access the first column (KeyError: 'fruit'). I tried all sort of manipulations of the dataframe, but either the index gets …

Series.to_frame If you want to create a DataFrame without promoting the index to a column, use Series.to_frame, as suggested in this answer. This also supports a name parameter.

The problem is, when I transpose the DataFrame, the header of the transposed DataFrame becomes the Index numerical values and not the values in the "id" column. See below original …

The transpose is difficult to me since I can get duplicate column headers, but I also don't want to lose any data by dropping them first. I have a feeling the answer may be with a panda utility …

Currently I am making the original DF into multiple Data Frames (each for "a", "b" and "c") and then transposing and merging back. I am sure there would be an optimum solution.