Converting dictionary with tuple as key and values as array to a pandas dataframe-CodePudding

I have the following dictionary:

dict = {(0, 6): array([[1, 2, 3, 0, 1 ,1]]), (0, 9): array([[1, 2, 3, 0, 1, 1]])}

I would like to convert it to a pandas dataframe that looks like this:

Key	v1	v2	v3	v4	v5	v6
(0,6)	1	2	3	0	1	1
(0,9)	1	2	3	0	1	1

I do not want the key to be the index.

Thanks for your help.

CodePudding user response：

Use:

d =  {(0, 6): np.array([[1, 2, 3, 0, 1 ,1]]), 
      (0, 9): np.array([[1, 2, 3, 0, 1, 1]])}


df = pd.DataFrame.from_dict({k: v[0] for k, v in d.items()}, orient='index')
df = df.rename_axis('Key').rename(columns=lambda x: f'v{x 1}').reset_index()
print (df)
      Key  v1  v2  v3  v4  v5  v6
0  (0, 6)   1   2   3   0   1   1
1  (0, 9)   1   2   3   0   1   1

Or:

df = pd.DataFrame(np.vstack(list(d.values()))).rename(columns=lambda x: f'v{x 1}')
df.insert(0,'Key',list(d.keys()))
print (df)
      Key  v1  v2  v3  v4  v5  v6
0  (0, 6)   1   2   3   0   1   1
1  (0, 9)   1   2   3   0   1   1