pandas dataframe from dict

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Nicolò
05 Jan 2020
1data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
2pd.DataFrame.from_dict(data)
source
Anna
09 May 2019
1>>> data = {'row_1': [3, 2, 1, 0], 'row_2': ['a', 'b', 'c', 'd']}
2>>> pd.DataFrame.from_dict(data, orient='index')
3       0  1  2  3
4row_1  3  2  1  0
5row_2  a  b  c  d
6
source
Emanuele
21 Jul 2020
1>>> data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
2>>> pd.DataFrame.from_dict(data)
3   col_1 col_2
40      3     a
51      2     b
62      1     c
73      0     d
8
source
Debora
07 Nov 2018
1#Lazy way to convert json dict to df
2
3pd.DataFrame.from_dict(data, orient='index').T
source
Lorenzo
31 Feb 2020
1In [11]: pd.DataFrame(d.items())  # or list(d.items()) in python 3
2Out[11]:
3             0    1
40   2012-07-02  392
51   2012-07-06  392
62   2012-06-29  391
73   2012-06-28  391
8...
9
10In [12]: pd.DataFrame(d.items(), columns=['Date', 'DateValue'])
11Out[12]:
12          Date  DateValue
130   2012-07-02        392
141   2012-07-06        392
152   2012-06-29        391
16
Helena
06 Feb 2020
1>>> pd.DataFrame.from_dict(data, orient='index',
2...                        columns=['A', 'B', 'C', 'D'])
3       A  B  C  D
4row_1  3  2  1  0
5row_2  a  b  c  d
6
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