Convert Python dict into a dataframe

Question

I have a Python dictionary like the following:

{u\'2012-06-08\': 388,
 u\'2012-06-09\': 388,
 u\'2012-06-10\': 388,
 u\'2012-06-11\': 389,
 u\'2012-06-12\':          


        

Answer 1

Pass the items of the dictionary to the DataFrame constructor, and give the column names. After that parse the Date column to get Timestamp values.

Note the difference between python 2.x and 3.x:

In python 2.x:

df = pd.DataFrame(data.items(), columns=['Date', 'DateValue'])
df['Date'] = pd.to_datetime(df['Date'])

In Python 3.x: (requiring an additional 'list')

df = pd.DataFrame(list(data.items()), columns=['Date', 'DateValue'])
df['Date'] = pd.to_datetime(df['Date'])