PYTHON

convert a dictionary into dataframe python

import pandas as pd
data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
pd.DataFrame.from_dict(data, orient='index').T

build dataframe from dictionary

data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
>>> pd.DataFrame.from_dict(data)
   col_1 col_2
0      3     a
1      2     b
2      1     c
3      0     d

create pandas dataframe from dictionary

In [11]: pd.DataFrame(d.items())  # or list(d.items()) in python 3
Out[11]:
             0    1
0   2012-07-02  392
1   2012-07-06  392
2   2012-06-29  391
3   2012-06-28  391
...

In [12]: pd.DataFrame(d.items(), columns=['Date', 'DateValue'])
Out[12]:
          Date  DateValue
0   2012-07-02        392
1   2012-07-06        392
2   2012-06-29        391

create a dataframe from dict

create a dataframe from dict (function)

import pandas as pd
def create_df():
    data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
    return pd.DataFrame.from_dict(data)
create_df()

create a dictionary from dataframe

input->
		a      b
0     red  0.500
1  yellow  0.250
2    blue  0.125

dict(df.values)

output -> {'red': '0.500', 'yellow': '0.250', 'blue': '0.125'}