Convert list of dictionaries to a pandas DataFrame

Question

I have a list of dictionaries like this:

[{\'points\': 50, \'time\': \'5:00\', \'year\': 2010}, 
{\'points\': 25, \'time\': \'6:00\', \'month\': \"february\"         


        

Answer 1

For converting a list of dictionaries to a pandas DataFrame, you can use "append":

We have a dictionary called dic and dic has 30 list items (list1, list2,…, list30)

1. step1: define a variable for keeping your result (ex: total_df)
2. step2: initialize total_df with list1
3. step3: use "for loop" for append all lists to total_df

total_df=list1
nums=Series(np.arange(start=2, stop=31))
for num in nums:
    total_df=total_df.append(dic['list'+str(num)])