pandas 将列表列表插入到pandas df的单列中
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Insert list of lists into single column of pandas df
提问by user3155053
I am trying to place multiple lists into a single column of a Pandas df. My list of lists is very long, so I cannot do so manually.
我正在尝试将多个列表放入 Pandas df 的单个列中。我的列表很长，所以我无法手动操作。
The desired out put would look like this:
所需的输出如下所示：
list_of_lists = [[1,2,3],[3,4,5],[5,6,7],...]
df = pd.DataFrame(list_of_lists)
>>> df
0
0 [1,2,3]
1 [3,4,5]
2 [5,6,7]
3 ...
Thank you for the assistance.
感谢您的帮助。
采纳答案by Julien Spronck
What about
关于什么
df = pd.DataFrame({0: [[1,2,3],[3,4,5],[5,6,7]]})
回答by EdChum
You can assign it by wrapping it in a Seriesvector if you're trying to add to an existing df:
Series如果您尝试将其添加到现有 ，则可以通过将其包装在向量中来分配它df：
In [7]:
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.randn(5,3), columns=list('abc'))
df
Out[7]:
a b c
0 -1.675422 -0.696623 -1.025674
1 0.032192 0.582190 0.214029
2 -0.134230 0.991172 -0.177654
3 -1.688784 1.275275 0.029581
4 -0.528649 0.858710 -0.244512
In [9]:
df['new_col'] = pd.Series([[1,2,3],[3,4,5],[5,6,7]])
df
Out[9]:
a b c new_col
0 -1.675422 -0.696623 -1.025674 [1, 2, 3]
1 0.032192 0.582190 0.214029 [3, 4, 5]
2 -0.134230 0.991172 -0.177654 [5, 6, 7]
3 -1.688784 1.275275 0.029581 NaN
4 -0.528649 0.858710 -0.244512 NaN
