Question

我有一个包含“起始站”和“结束站”列的数据集我正在尝试创建一个新列表，其中列表的每个元素都包含一个来自“起始站”，另一个来自“结束站”。之后，在频率最高的新列表中找到一个元素

trip=[]          #making list
for i in range(len(df)):      #loop till end
    trip.append((df['Start Station'][i],df['End Station'][i]))     #adding pairs in new list
print(max(trip,key=trip.count))

问题：这段代码在jupyter笔记本中正常工作，但是当我尝试在其他地方显示错误

error:
trip.append((df['Start Station'][i],df['End Station'][i]))
  File "/opt/conda/lib/python3.6/site-packages/pandas/core/series.py", line 601, in __getitem__
    result = self.index.get_value(self, key)
  File "/opt/conda/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 2477, in get_value
    tz=getattr(series.dtype, 'tz', None))
  File "pandas/_libs/index.pyx", line 98, in pandas._libs.index.IndexEngine.get_value (pandas/_libs/index.c:4404)
  File "pandas/_libs/index.pyx", line 106, in pandas._libs.index.IndexEngine.get_value (pandas/_libs/index.c:4087)
  File "pandas/_libs/index.pyx", line 154, in pandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5126)
  File "pandas/_libs/hashtable_class_helper.pxi", line 759, in pandas._libs.hashtable.Int64HashTable.get_item (pandas/_libs/hashtable.c:14031)
  File "pandas/_libs/hashtable_class_helper.pxi", line 765, in pandas._libs.hashtable.Int64HashTable.get_item (pandas/_libs/hashtable.c:13975)
KeyError: 0

Answer 1

您可以尝试：

# using pandas iterrows
trip=[]          

for ix, row in df.iterrows():    
    trip.append((row['Start Station'], row['End Station']))     

print(max(trip,key=trip.count))

使用2D数据框

1 个答案: