如何对 Python 中的一个特定 DataFrame 列进行转置？ 另外如何从'for'循环的第二次迭代中获取某些值？

Question

I am running a 'for' loop whose output is a data frame with two columns, column 1 with columns names and column 2 with data. It can be seen below:

Next, I would take the transpose of this data like this:

In the next iteration again I would get the similar data(with 2 columns as the first table) for which I don't need columns data, just data should append to the data from the first iteration as seen:

Answer 1

Try:

df = df.append(new_df, ignore_index=True)

Answer 2

For your first question first set your index to you desired column names column, then transpose using T :

df2=df.set_index('1').T

1   Column1 Column2 Column3 Column4 Column5
2   data_1_1    data_1_2    data_1_3    data_1_4    data_1_5