我正在解决关于pandas中数据帧的测验问题。但是我被困住了。我编写代码但它没有给出结果。有人可以提一些建议吗？我的代码位于“＃you code here”下面。
from pandas import DataFrame, Series
#################
def create_dataframe():
#'''
#Create a pandas dataframe called 'olympic_medal_counts_df' containing
#the data from the table of 2014 Sochi winter olympics medal counts.
#The columns for this dataframe should be called
#'country_name', 'gold', 'silver', and 'bronze'.
#There is no need to specify row indexes for this dataframe
#(in this case, the rows will automatically be assigned numbered indexes).
#You do not need to call the function in your code when running it in the
#browser - the grader will do that automatically when you submit or test it.
#'''
countries = ['Russian Fed.', 'Norway', 'Canada', 'United States',
'Netherlands', 'Germany', 'Switzerland', 'Belarus',
'Austria', 'France', 'Poland', 'China', 'Korea',
'Sweden', 'Czech Republic', 'Slovenia', 'Japan',
'Finland', 'Great Britain', 'Ukraine', 'Slovakia',
'Italy', 'Latvia', 'Australia', 'Croatia', 'Kazakhstan']
gold = [13, 11, 10, 9, 8, 8, 6, 5, 4, 4, 4, 3, 3, 2, 2, 2, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0]
silver = [11, 5, 10, 7, 7, 6, 3, 0, 8, 4, 1, 4, 3, 7, 4, 2, 4, 3, 1, 0, 0, 2, 2, 2, 1, 0]
bronze = [9, 10, 5, 12, 9, 5, 2, 1, 5, 7, 1, 2, 2, 6, 2, 4, 3, 1, 2, 1, 0, 6, 2, 1, 0, 1]
# your code here
olympic_medal_counts_df = DataFrame({'country_name' : Series(countries),
'gold' : Series(gold),
'silver':Series(silver),
'bronze':Series(bronze)})
return olympic_medal_counts_df