将列字典值放入单独的数据框中

Question

我有一个数据框，其中有一列包含字典列表。这是示例列值的样子：

[{'score': 0.09248554706573486, 'category': 'soccer', 'threshold': 0.13000713288784027}, {'score': 0.09267200529575348, 'category': 'soccer', 'threshold': 0.11795613169670105}, {'score': 0.1703065186738968, 'category': 'soccer', 'threshold': 0.2004493921995163}, {'score': 0.08060390502214432, 'category': 'basketball', 'threshold': 0.09613725543022156}, {'score': 0.16494056582450867, 'category': 'basketball', 'threshold': 0.2284235805273056}, {'score': 0.008428425528109074, 'category': 'basketball', 'threshold': 0.018201233819127083}, {'score': 0.0761604905128479, 'category': 'hockey', 'threshold': 0.0924532413482666}, {'score': 0.10853488743305206, 'category': 'basketball', 'threshold': 0.1252049058675766}, {'score': 0.0012563085183501244, 'category': 'soccer', 'threshold': 0.008611497469246387}, {'score': 0.058744996786117554, 'category': 'soccer', 'threshold': 0.08366610109806061}, {'score': 0.20794744789600372, 'category': 'rugby', 'threshold': 0.26308900117874146}, {'score': 0.1463163197040558, 'category': 'hockey', 'threshold': 0.18053030967712402}, {'score': 0.12938784062862396, 'category': 'hockey', 'threshold': 0.13267497718334198}, {'score': 0.09140244871377945, 'category': 'basketball', 'threshold': 0.13820350170135498}, {'score': 0.06976936012506485, 'category': 'hockey', 'threshold': 0.0989123210310936}, {'score': 0.05813559517264366, 'category': 'basketball', 'threshold': 0.06885409355163574}, {'score': 0.09365707635879517, 'category': 'hockey', 'threshold': 0.12393374741077423},]

我想创建一个单独的数据框，它为每行获取上述列值，并生成一个数据框，其中“类别”是一列，该列的值是分数和阈值。

例如：

category | score                  | threshold
soccer   | 0.09248554706573486    | 0.13000713288784027
soccer   | 0.09267200529575348    | 0.13000713288784027
soccer   | 0.1703065186738968     | 0.13000713288784027
basketball  | 0.16494056582450867   | 0.018201233819127083
basketball  | 0.08060390502214432   | 0.018201233819127083
basketball  | 0.10853488743305206   | 0.018201233819127083

Answer 1

假设lst输入列表，只需使用DataFrame构造函数：

df = pd.DataFrame(lst)

输出：

       score    category  threshold
0   0.092486      soccer   0.130007
1   0.092672      soccer   0.117956
2   0.170307      soccer   0.200449
3   0.080604  basketball   0.096137
4   0.164941  basketball   0.228424
5   0.008428  basketball   0.018201
6   0.076160      hockey   0.092453
7   0.108535  basketball   0.125205
8   0.001256      soccer   0.008611
9   0.058745      soccer   0.083666
10  0.207947       rugby   0.263089
11  0.146316      hockey   0.180530
12  0.129388      hockey   0.132675
13  0.091402  basketball   0.138204
14  0.069769      hockey   0.098912
15  0.058136  basketball   0.068854
16  0.093657      hockey   0.123934

如果该系列中的每个项目都有这样的列表，请使用itertools.chain：

from itertools import chain
df2 = pd.DataFrame(chain.from_iterable(df['col']))