Python Converting a List into an Array

Question

I have a list that is 5 rows by 5 columns.

I am trying to convert this list into a dataframe.

When I try to do so, it only grabs the first row.

This failed because I had it set to 5,5:

df2 = pd.DataFrame(np.array(pdf_read).reshape(5,5),columns=list("abcde"))

When I switched it to this:

df2 = pd.DataFrame(np.array(pdf_read).reshape(1,5),columns=list("abcde"))

It only grabbed the first row.

1. Why does it do this?
2. Any advice?

Edit: Added Context

I am using the tabula module in python to read a PDF file. The PDF file results are stored in the variable pdf_read.

When I do len(pdf_read) it has a length of 1, but when I type print(pdf_read) it says it is 5 rows x 5 columns, which is very strange.

Edit #2: Datatypes

I ran the following:

print(type(pdf_read))
print(type(pdf_read[0]))

I got <class 'list'> and <class 'pandas.core.frame.DataFrame'> respectively.

It seems I have a Dataframe inside of a list.

I ran this code:

df = pd.DataFrame(
    pdf_read[0],columns=["column_a","column_b","column_c","column_d","column_e"]
    )

This just returns a 5,5 dataframe, but all of the values in each column are NaN.

Some progress made, but will need to figure out why the values are not populated now.

Answer 1

EDIT: After some research output pdf_read is list of DataFrames.

So for first DataFrame:

df = pdf_read[0]