Pandas 数据框用列名映射行值

Question

我的行值为[1,2,3,4,5,6,7,8]和 column_names ['col1','col2','col3','col4','col5','col6','col7']

如何为熊猫制作单个数据框，如下所示：

col1 col2 col3 col4 col5 col6 col7
  1   2    3     4    5    6   7 

Answer 1

使用嵌套列表：

new_df = pd.DataFrame([[1,2,3,4,5,6,7]],
                      columns=['col1','col2','col3','col4','col5','col6','col7'])
print (new_df)
   col1  col2  col3  col4  col5  col6  col7
0     1     2     3     4     5     6     7

Answer 2

如果您的意思是过滤现有的 df 您可以通过多种方式进行，这是我的建议：

#first you create the auxiliary lists
values = [1,2,3,4,5,6,7,8]
cols = ['col1','col2','col3','col4','col5','col6','col7']

#next, you create a filter for each column
bool_filter = None
for col, value in zip(cols, values):
   if is None bool_filter:
       bool_filter = df[col] == value
   else:
       bool_filter = bool_filter & (df[col] == value)

#finnaly apply it to the df
df[bool_filter]