PYTHON

Convert list of dictionaries to a pandas DataFrame

import pandas as pd

your_list = [{'points': 50, 'time': '5:00', 'year': 2010}, 
 {'points': 25, 'time': '6:00', 'month': "february"}, 
 {'points':90, 'time': '9:00', 'month': 'january'}, 
 {'points_h1':20, 'month': 'june'}]

df = pd.DataFrame(your_list)

dataframe to list of dicts

df = pd.DataFrame({'Name': ['John', 'Sara','Peter','Cecilia'],
                   'Age': [38, 47,63,28],
                  'City':['Boston', 'Charlotte','London','Memphis']})

datadict = df.to_dict('records')

list of dict to dataframe

Supposing d is your list of dicts, simply:
import pandas as pd 

df = pd.DataFrame(d)

python list of dict to dataframe

# Supposing d is your list of dicts, simply
df = pd.DataFrame(d)
# Note: this does not work with nested data

pandas df to list of dictionaries

In [2]: df.to_dict('records')
Out[2]:
[{'customer': 1L, 'item1': 'apple', 'item2': 'milk', 'item3': 'tomato'},
 {'customer': 2L, 'item1': 'water', 'item2': 'orange', 'item3': 'potato'},
 {'customer': 3L, 'item1': 'juice', 'item2': 'mango', 'item3': 'chips'}]

Converting Dataframe from list Using a list in the dictionary

# import pandas as pd 

import pandas as pd 
# list of name, degree, score 
n = ["apple", "grape", "orange", "mango"] 
col = ["red", "green", "orange", "yellow"] 
val = [44, 33, 22, 11] 
# dictionary of lists 
dict = {'fruit': n, 'color': col, 'value': val}  
df = pd.DataFrame(dict) 
print(df)

pandas to list of dicts

In [20]: timeit df.T.to_dict().values()
1000 loops, best of 3: 395 µs per loop

In [21]: timeit df.to_dict('records')
10000 loops, best of 3: 53 µs per loop

Convert list of dictionaries to a pandas DataFrame

np.random.seed(0)
data = pd.DataFrame(
    np.random.choice(10, (3, 4)), columns=list('ABCD')).to_dict('r')

print(data)
[{'A': 5, 'B': 0, 'C': 3, 'D': 3},
 {'A': 7, 'B': 9, 'C': 3, 'D': 5},
 {'A': 2, 'B': 4, 'C': 7, 'D': 6}]