我如何摆脱最后一栏中的零

我正在分配应用数据科学。

问题：将％可再生能源削减为5个回收箱。按大陆将Top15以及这些新的％可再生垃圾箱分组。每个组中有多少个国家？此函数应返回一个具有MultiContinent的Series，然后返回％Renewable的箱。不包括没有国家的团体。

这是我的代码：

def answer_twelve():

    Top15 = answer_one()
    ContinentDict  = {'China':'Asia', 
                  'United States':'North America', 
                  'Japan':'Asia', 
                  'United Kingdom':'Europe', 
                  'Russian Federation':'Europe', 
                  'Canada':'North America', 
                  'Germany':'Europe', 
                  'India':'Asia',
                  'France':'Europe', 
                  'South Korea':'Asia', 
                  'Italy':'Europe', 
                  'Spain':'Europe', 
                  'Iran':'Asia',
                  'Australia':'Australia', 
                  'Brazil':'South America'}
    Top15['Continent'] = Top15.index.to_series().map(ContinentDict)
    Top15['bins'] = pd.cut(Top15['% Renewable'],5)
    return pd.Series(Top15.groupby(by = ['Continent', 'bins']).size())#,apply(lambda x:s if x['Rank']==0 continue))
answer_twelve()

这是上面代码的输出

Continent      bins            
Asia           (2.212, 15.753]     4
               (15.753, 29.227]    1
               (29.227, 42.701]    0
               (42.701, 56.174]    0
               (56.174, 69.648]    0
Australia      (2.212, 15.753]     1
               (15.753, 29.227]    0
               (29.227, 42.701]    0
               (42.701, 56.174]    0
               (56.174, 69.648]    0
Europe         (2.212, 15.753]     1
               (15.753, 29.227]    3
               (29.227, 42.701]    2
               (42.701, 56.174]    0
               (56.174, 69.648]    0
North America  (2.212, 15.753]     1
               (15.753, 29.227]    0
               (29.227, 42.701]    0
               (42.701, 56.174]    0
               (56.174, 69.648]    1
South America  (2.212, 15.753]     0
               (15.753, 29.227]    0
               (29.227, 42.701]    0
               (42.701, 56.174]    0
               (56.174, 69.648]    1
dtype: int64

所需的输出是

Continent      bins            
Asia           (2.212, 15.753]     4
               (15.753, 29.227]    1
Australia      (2.212, 15.753]     1
Europe         (2.212, 15.753]     1
               (15.753, 29.227]    3
               (29.227, 42.701]    2
North America  (2.212, 15.753]     1
               (56.174, 69.648]    1
South America  (56.174, 69.648]    1
Name: Countries, dtype: int64

我想摆脱零，我尝试使用

pd.Series(Top15.groupby(by = ['Continent', 'bins']).size().apply(lambda x:s if x['Rank']==0 continue))

但我不断收到以下错误

File "<ipython-input-317-14bc05bb2137>", line 20
    return pd.Series(Top15.groupby(by = ['Continent', 'bins']).size().apply(lambda x:s if x['Rank']==0 continue))
                                                                                                              ^
SyntaxError: invalid syntax

我无法弄清楚我的错误。请帮我！