如何从多个csv文件中读取仅存在于第一个文件中的用户id的数据，并创建一个Pivot选项卡

Question

问题是：基于user\u id列，我想得到rating和product\u id列的值。同一个文件和其他文件中可以有多个具有相同用户标识的条目。 下表是第一个文件提供的一些数据。你知道吗

| product_id  | user_id         | user_name                                    | rating |
|-------------|-----------------|----------------------------------------------|--------|
|  B0009XRZ92 | A2JFZLAUG3YFQ7  |  Entropy Babe "EB"                           | 5      |
|  B0009XRZ92 | A22HGAAO8KZ2N3  |  R.   Metzelar                               | 5      |
|  B000067A8B |  A2NJO6YE954DBH |  Lawrance M. Bernabo                         | 4      |
|  B0009XRZ92 |  A3HE4MYMWK4AER |  Rebecca M. Eddy "Foster Mom and   Untbunny" | 5      |
|  B003A3R3ZY | A9A2PR663ED1V   |  Roger D. Goff                               | 5      |
|  B0009XRZ92 | A2MRZDJF90JC1U  |  Suzanne K. Armstrong "Suzy Q"               | 5      |
|  B0009XRZ92 |  A2YNBDT3170PCR |  C.   O'Hern                                 | 5      |
|  B0009XRZ92 |  A10VJ7BDVCPKEZ |  Carol S. Bottom                             | 5      |
|  B0009XRZ92 |  AAAQO894MG80B  |  Paul J. Michko                              | 5      |
|  B00067BBQE | A9A2PR663ED1V   |  Roger D. Goff                               | 5      |
|  B0009XRZ92 | A31S5QUMFR8NH2  |  Dana L. Jordan "Mom of Twins"               | 5      |
|  B0009XRZ92 |  A2DS24DHXUH0GM |  Gaz    Rev(iewer)                           | 4      |
|  B00006AUMZ |  A2NJO6YE954DBH |  Lawrance M. Bernabo                         | 4      |
|  B0009XRZ92 |  A16FRHL2ZC7EUR |  M.   Claytor                                | 5      |
|  B0009XRZ92 | A3AV8R0A62PP1N  |  MARCUSHELBLINZ "mmmacman"                   | 5      |
|  B0009XRZ92 |  A3QN84C38DE9FU |  Gillian M. Kratzer                          | 5      |
|  B0009XRZ92 |  A36MLTLVQFEQYL |  Yossarian "alienated socialist"             | 5      |
|  B00006AUMD |  A2NJO6YE954DBH |  Lawrance M. Bernabo                         | 4      |

What I want to do is:

To take one user_id only from the first file and display the rating and product_id columns value for that user for all the movies from all the files and if the user didn't rate some movies then the record should be displayed with the product_id value and rating as Nan and the whole process should be repeated for all the users in the first file only.

通过使用pivot_table

import pandas as pd
df = pd.read_csv('LCM1.csv')
df_new=df.pivot_table(index='user_id',columns='product_id',values='rating').rename_axis(None,1)
print(df_new)

The result will be the following:
                     B000067A8B     B00006AUMD     B00006AUMZ     B00067BBQE   \
user_id                                                                         
  A10VJ7BDVCPKEZ             NaN            NaN            NaN            NaN   
  A16FRHL2ZC7EUR             NaN            NaN            NaN            NaN   
  A2DS24DHXUH0GM             NaN            NaN            NaN            NaN   
  A2NJO6YE954DBH             4.0            4.0            4.0            NaN   
  A2YNBDT3170PCR             NaN            NaN            NaN            NaN   
  A36MLTLVQFEQYL             NaN            NaN            NaN            NaN   
  A3HE4MYMWK4AER             NaN            NaN            NaN            NaN   
  A3QN84C38DE9FU             NaN            NaN            NaN            NaN   
  AAAQO894MG80B              NaN            NaN            NaN            NaN   
 A22HGAAO8KZ2N3              NaN            NaN            NaN            NaN   
 A2JFZLAUG3YFQ7              NaN            NaN            NaN            NaN   
 A2MRZDJF90JC1U              NaN            NaN            NaN            NaN   
 A31S5QUMFR8NH2              NaN            NaN            NaN            NaN   
 A3AV8R0A62PP1N              NaN            NaN            NaN            NaN   
 A9A2PR663ED1V               NaN            NaN            NaN            5.0   

                     B0009XRZ92     B003A3R3ZY   
user_id                                          
  A10VJ7BDVCPKEZ             5.0            NaN  
  A16FRHL2ZC7EUR             5.0            NaN  
  A2DS24DHXUH0GM             4.0            NaN  
  A2NJO6YE954DBH             NaN            NaN  
  A2YNBDT3170PCR             5.0            NaN  
  A36MLTLVQFEQYL             5.0            NaN  
  A3HE4MYMWK4AER             5.0            NaN  
  A3QN84C38DE9FU             5.0            NaN  
  AAAQO894MG80B              5.0            NaN  
 A22HGAAO8KZ2N3              5.0            NaN  
 A2JFZLAUG3YFQ7              5.0            NaN  
 A2MRZDJF90JC1U              5.0            NaN  
 A31S5QUMFR8NH2              5.0            NaN  
 A3AV8R0A62PP1N              5.0            NaN  
 A9A2PR663ED1V               NaN            5.0

But What I want to do is to take user_id values from the only first file and search for product_id and rating values in all files against that user_id.

希望你有我的问题，如果在理解上有任何问题，请在下面评论。谢谢

Answer 1

检查是否符合您的要求。你知道吗

data1 = pd.read_csv("user.txt", sep="|")
data2 = pd.read_csv("file2.csv")

# Merge on user_id and product_id
masterDf = data1.merge(data2, how='inner', on=["user_id","product_id"])

masterDf['rating'] = masterDf.rating.astype(str).astype(int)
df_new=data.pivot_table(index='user_id',columns='product_id',values='rating').rename_axis(None,1)
df_new

输出为：