How to create pandas dataframe from python dictionary?

Question

I have a python dictionary below:

dict = {'stock1': (5,6,7), 'stock2': (1,2,3),'stock3': (7,8,9)};

I want to change dictionary to dataframe like:

How to write the code?

I use:

pd.DataFrame(list(dict.iteritems()),columns=['name','closePrice'])

But it will get wrong. Could anyone help?

Answer 1

You are overcomplicating the problem, just pass your dictionary into the DataFrame constructor:

import pandas as pd

d = {'stock1': (5,6,7), 'stock2': (1,2,3),'stock3': (7,8,9)}
print(pd.DataFrame(d))

Prints:

   stock1  stock2  stock3
0       5       1       7
1       6       2       8
2       7       3       9

Answer 2

Try this: Do not name your variables python key words!

dd = {'stock1': (5,6,7), 'stock2': (1,2,3),'stock3': (7,8,9)};
#pd.DataFrame(dd) Should work!

pd.DataFrame.from_dict(dd, orient='columns')

   stock1  stock2  stock3
0       5       1       7
1       6       2       8
2       7       3       9