填充数据帧的更干净的方法?

我建议使用 dictionary ,参数 columns 用于定制python中的列顺序,如下3.6所示:

cols = ['title','url', 'category','traffic','revenue','price']
df = pd.DataFrame({'title':title_list, 
                   'url':url_list,
                   'category':category_list,
                   'traffic':traffic_list,
                   'revenue':revenue_list,
                   'price':value_list}, columns=cols)

安装程序

title_list = list('ABCDE')
url_list = list('VWXYZ')
category_list = 'dog cat bird fish lizard'.split()
traffic_list = 'red green yellow blue amber'.split()
revenue_list = range(5, 10)
value_list = range(100, 600, 100)

zip

如果所有列表的长度都相等,则此选项有效。

data = [title_list, url_list, category_list,
        traffic_list, revenue_list, value_list]
cols = 'title url category traffic revenue price'.split()
pd.DataFrame(dict(zip(cols, data)))

  title url category traffic  revenue  price
0     A   V      dog     red        5    100
1     B   W      cat   green        6    200
2     C   X     bird  yellow        7    300
3     D   Y     fish    blue        8    400
4     E   Z   lizard   amber        9    500

如果长度不同

data = [title_list, url_list, category_list,
        traffic_list, revenue_list, value_list]
cols = 'title url category traffic revenue price'.split()
pd.DataFrame(list(zip(*data)), columns=cols)

   title url category traffic  revenue  price
0     A   V      dog     red        5    100
1     B   W      cat   green        6    200
2     C   X     bird  yellow        7    300
3     D   Y     fish    blue        8    400
4     E   Z   lizard   amber        9    500