我用Counter一个列表来计算此变量:
Counter
final = Counter(event_container)
最终印刷品给出:
Counter({'fb_view_listing': 76, 'fb_homescreen': 63, 'rt_view_listing': 50, 'rt_home_start_app': 46, 'fb_view_wishlist': 39, 'fb_view_product': 37, 'fb_search': 29, 'rt_view_product': 23, 'fb_view_cart': 22, 'rt_search': 12, 'rt_view_cart': 12, 'add_to_cart': 2, 'create_campaign': 1, 'fb_connect': 1, 'sale': 1, 'guest_sale': 1, 'remove_from_cart': 1, 'rt_transaction_confirmation': 1, 'login': 1})
现在,我想转换final为Pandas DataFrame,但是在执行操作时:
final
DataFrame
final_df = pd.DataFrame(final)
但我有一个错误。
我猜final不是正确的字典,那么如何转换final成字典?还是转换final为的另一种方式DataFrame?
您可以使用from_dict并传递param进行构造orient='index',然后调用reset_index以获取2列df:
from_dict
orient='index'
reset_index
In [40]: from collections import Counter d = Counter({'fb_view_listing': 76, 'fb_homescreen': 63, 'rt_view_listing': 50, 'rt_home_start_app': 46, 'fb_view_wishlist': 39, 'fb_view_product': 37, 'fb_search': 29, 'rt_view_product': 23, 'fb_view_cart': 22, 'rt_search': 12, 'rt_view_cart': 12, 'add_to_cart': 2, 'create_campaign': 1, 'fb_connect': 1, 'sale': 1, 'guest_sale': 1, 'remove_from_cart': 1, 'rt_transaction_confirmation': 1, 'login': 1}) df = pd.DataFrame.from_dict(d, orient='index').reset_index() df Out[40]: index 0 0 login 1 1 rt_transaction_confirmation 1 2 fb_view_cart 22 3 fb_connect 1 4 rt_view_product 23 5 fb_search 29 6 sale 1 7 fb_view_listing 76 8 add_to_cart 2 9 rt_view_cart 12 10 fb_homescreen 63 11 fb_view_product 37 12 rt_home_start_app 46 13 fb_view_wishlist 39 14 create_campaign 1 15 rt_search 12 16 guest_sale 1 17 remove_from_cart 1 18 rt_view_listing 50
您可以将列重命名为更有意义的名称:
In [43]: df = df.rename(columns={'index':'event', 0:'count'}) df Out[43]: event count 0 login 1 1 rt_transaction_confirmation 1 2 fb_view_cart 22 3 fb_connect 1 4 rt_view_product 23 5 fb_search 29 6 sale 1 7 fb_view_listing 76 8 add_to_cart 2 9 rt_view_cart 12 10 fb_homescreen 63 11 fb_view_product 37 12 rt_home_start_app 46 13 fb_view_wishlist 39 14 create_campaign 1 15 rt_search 12 16 guest_sale 1 17 remove_from_cart 1 18 rt_view_listing 50