I understand to create a dataframe, i need to specify index from my dictionary, else we get the 'ValueError: if using all scalar values, you must pass an index' error.
however, how do i create a dataframe from dictionary where the index is just an auto-increment number?
You can construct an index using np.arange and pass the len of your dict:
pd.DataFrame(your_dict, index = np.arange(len(your_dict)))
However, if you only have a single value as scalar values in your dict then it's more appropriate to have a single row:
In [165]:
d = {'a':1,'b':3}
pd.DataFrame(d, index=[0])
Out[165]:
a b
0 1 3
Or you can use from_dict and pass orient='index':
In [166]:
d = {'a':1,'b':3}
pd.DataFrame.from_dict(d, orient='index')
Out[166]:
0
a 1
b 3
Collected from the Internet
Please contact [email protected] to delete if infringement.
Comments