Python将数据转置为观察值

我有个问题

我的初始df如下所示：

Col 1   Col 2   Col 3

laura   purchase 1  dress23

laura   puchase 2   skirt55

laura   purchase 3  shirt47

laura   purchase 4  coat45

julia   puchase 1   skirt74

julia   purchase 2  short74

julia   purchase 3  coat14

julia   purchase 4  coat15

---

---

我想用熊猫图书馆获得它

Col 1   Purchase 1  Purchase 2  Purchase 3  Purchase 4
Laura   dresse23    skirt55     shirt47     coat45
Julia   skirt74    short74      coat14      coast10

拜托，你能帮我吗

那太好了

谢谢,

N

给定数据：

   col 1       col 2    col 3
0  laura  purchase 1  dress23
1  laura  purchase 2  skirt55
2  laura  purchase 3  shirt47
3  laura  purchase 4   coat45
4  julia  purchase 1  skirt74
5  julia  purchase 2  short74
6  julia  purchase 3   coat14
7  julia  purchase 4   coat15

转型：

df = df.pivot(index='col 1', columns='col 2', values='col 3').reset_index()
df = df.rename(columns={'col 1': 'name'})
df.columns.name = 'id'
print(df)

结果是：

id   name purchase 1 purchase 2 purchase 3 purchase 4
0   julia    skirt74    short74     coat14     coat15
1   laura    dress23    skirt55    shirt47     coat45

给定数据：

   col 1       col 2    col 3
0  laura  purchase 1  dress23
1  laura  purchase 2  skirt55
2  laura  purchase 3  shirt47
3  laura  purchase 4   coat45
4  julia  purchase 1  skirt74
5  julia  purchase 2  short74
6  julia  purchase 3   coat14
7  julia  purchase 4   coat15

转型：

df = df.pivot(index='col 1', columns='col 2', values='col 3').reset_index()
df = df.rename(columns={'col 1': 'name'})
df.columns.name = 'id'
print(df)

结果是：

id   name purchase 1 purchase 2 purchase 3 purchase 4
0   julia    skirt74    short74     coat14     coat15
1   laura    dress23    skirt55    shirt47     coat45

1.方法设置索引、堆栈、重置索引 使用

设置索引

，

取消堆栈

和

重置索引

：

df.set_index(['Col 1','Col 2'])['Col 3'].unstack().reset_index()

df.set_index(['Col 1','Col 2'])['Col 3'].unstack().reset_index()

df.pivot(index='Col 1',columns = 'Col 2', values= 'Col 3').reset_index()

输出：

Col 2  Col 1 puchase 1 puchase 2 purchase 1 purchase 2 purchase 3 purchase 4
0      julia   skirt74      None       None    short74     coat14     coat15
1      laura      None   skirt55    dress23       None    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

首先做一点数据清理，您的结果如下所示。 新输入df

   Col 1       Col 2    Col 3
0  laura  purchase 1  dress23
1  laura  purchase 2  skirt55
2  laura  purchase 3  shirt47
3  laura  purchase 4   coat45
4  julia  purchase 1  skirt74
5  julia  purchase 2  short74
6  julia  purchase 3   coat14
7  julia  purchase 4   coat15

现在，执行熊猫造型：

输出：

Col 2  Col 1 puchase 1 puchase 2 purchase 1 purchase 2 purchase 3 purchase 4
0      julia   skirt74      None       None    short74     coat14     coat15
1      laura      None   skirt55    dress23       None    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

2.方法透视和重置索引 或者使用

枢轴

和

重置索引

：

df.set_index(['Col 1','Col 2'])['Col 3'].unstack().reset_index()

df.set_index(['Col 1','Col 2'])['Col 3'].unstack().reset_index()

df.pivot(index='Col 1',columns = 'Col 2', values= 'Col 3').reset_index()

输出：

Col 2  Col 1 puchase 1 puchase 2 purchase 1 purchase 2 purchase 3 purchase 4
0      julia   skirt74      None       None    short74     coat14     coat15
1      laura      None   skirt55    dress23       None    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

1.方法设置索引、堆栈、重置索引 使用

设置索引

，

取消堆栈

和

重置索引

：

df.set_index(['Col 1','Col 2'])['Col 3'].unstack().reset_index()

df.set_index(['Col 1','Col 2'])['Col 3'].unstack().reset_index()

df.pivot(index='Col 1',columns = 'Col 2', values= 'Col 3').reset_index()

输出：

Col 2  Col 1 puchase 1 puchase 2 purchase 1 purchase 2 purchase 3 purchase 4
0      julia   skirt74      None       None    short74     coat14     coat15
1      laura      None   skirt55    dress23       None    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

首先做一点数据清理，您的结果如下所示。 新输入df

   Col 1       Col 2    Col 3
0  laura  purchase 1  dress23
1  laura  purchase 2  skirt55
2  laura  purchase 3  shirt47
3  laura  purchase 4   coat45
4  julia  purchase 1  skirt74
5  julia  purchase 2  short74
6  julia  purchase 3   coat14
7  julia  purchase 4   coat15

现在，执行熊猫造型：

输出：

Col 2  Col 1 puchase 1 puchase 2 purchase 1 purchase 2 purchase 3 purchase 4
0      julia   skirt74      None       None    short74     coat14     coat15
1      laura      None   skirt55    dress23       None    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

2.方法透视和重置索引 或者使用

枢轴

和

重置索引

：

df.set_index(['Col 1','Col 2'])['Col 3'].unstack().reset_index()

df.set_index(['Col 1','Col 2'])['Col 3'].unstack().reset_index()

df.pivot(index='Col 1',columns = 'Col 2', values= 'Col 3').reset_index()

输出：

Col 2  Col 1 puchase 1 puchase 2 purchase 1 purchase 2 purchase 3 purchase 4
0      julia   skirt74      None       None    short74     coat14     coat15
1      laura      None   skirt55    dress23       None    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

Col 2  Col 1 purchase 1 purchase 2 purchase 3 purchase 4
0      julia    skirt74    short74     coat14     coat15
1      laura    dress23    skirt55    shirt47     coat45

---

到目前为止你试过什么？另外，我看不到您的输出有任何模式以及您希望如何格式化。我想

coast10

应该是

coat15

？到目前为止您尝试了什么？另外，我看不到您的输出有任何模式以及您希望如何格式化。我想

coast10

应该是

coat15

？您不应该复制和粘贴答案。；-）@达里乌斯莫维奇：）你是对的，幸好我没有。不过，我会投票支持你的解决方案！我喜欢。你不应该复制和粘贴答案。；-）@达里乌斯莫维奇：）你是对的，幸好我没有。不过，我会投票支持你的解决方案！我喜欢。