CODEWITHSUNDEEP
pythonpandas
omz
omz

Reputation: 34

pandas data frame from list of tuples

I have a list of tuples that I want to convert to pandas data frame and write to excel with column headers.

Column_headers = ["Name", "Count1", "Count2"]

mylist = [('A',(1,2)), ('B',(23,2)), ('C',(1,23)), ('D',(5,23))]

Output in Excel

Name | Count1 | Count2
A    | 1      | 2
B    | 23     | 2
C    | 1      | 23
D    | 5      | 23

I tried below but it only saves the last entry in mylist.

writer = pd.ExcelWriter('demo.xlsx', engine='xlsxwriter')

start_row = 0
for i, data in enumerate(mylist):
    df = pd.DataFrame({"Name": [data[0]],
                   "Count1": [data[1][0]],
                   "Count2": [data[1][1]]})

    df.to_excel(writer, sheet_name='Sheet1',header=True, index=False)

writer.save()

Can someone please provide any pointers?

Thanks in advance and Happy Holidays

Upvotes: 1

Views: 142

Answers (2)

Ch3steR
Ch3steR

Reputation: 20689

You can use itertools.chain.from_iterable here

from itertools import chain

df = pd.DataFrame(map(chain.from_iterable, mylist), columns=Column_headers)

  Name  Count1  Count2
0    A       1       2
1    B      23       2
2    C       1      23
3    D       5      23

Upvotes: 2

U13-Forward
U13-Forward

Reputation: 71620

Try the below code:

Column_headers = ["Name", "Count1", "Count2"]
mylist = [('A',(1,2)), ('B',(23,2)), ('C',(1,23)), ('D',(5,23))]
df = pd.DataFrame([[i[0], i[1][0], i[1][1]] for i in mylist], columns=Column_headers)
df.to_excel('demo.xlsx')

Upvotes: 1

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