Getting list of lists into pandas DataFrame

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Chapters
00:00 Question
00:42 Accepted answer (Score 329)
00:57 Answer 2 (Score 108)
01:27 Answer 3 (Score 8)
01:55 Answer 4 (Score 2)
02:11 Thank you

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Full question
https://stackoverflow.com/questions/1911...

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https://meta.stackexchange.com/help/lice...

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Tags
#python #pandas #datanitro

#avk47

ACCEPTED ANSWER

Score 342

Call the pd.DataFrame constructor directly:

df = pd.DataFrame(table, columns=headers)
df

   Heading1  Heading2
0         1         2
1         3         4

ANSWER 2

Score 112

With approach explained by EdChum above, the values in the list are shown as rows. To show the values of lists as columns in DataFrame instead, simply use transpose() as following:

table = [[1 , 2], [3, 4]]
df = pd.DataFrame(table)
df = df.transpose()
df.columns = ['Heading1', 'Heading2']

The output then is:

      Heading1  Heading2
0         1        3
1         2        4

ANSWER 3

Score 10

Even without pop the list we can do with set_index

pd.DataFrame(table).T.set_index(0).T
Out[11]: 
0 Heading1 Heading2
1        1        2
2        3        4

Update from_records

table = [['Heading1', 'Heading2'], [1 , 2], [3, 4]]

pd.DataFrame.from_records(table[1:],columns=table[0])
Out[58]: 
   Heading1  Heading2
0         1         2
1         3         4

ANSWER 4

Score 4

From the table example, call DataFrame constructor as follow:

table = [['Heading1', 'Heading2'], [1 , 2], [3, 4]]

df = pd.DataFrame(table[1:], columns=table[0])