MMTU-benchmark/MMTU huggingface dataset:
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   10 |   1 |   2 |
|-----:|----:|----:|
|   11 |  12 |  13 |


Table #1
Filename: input_1.csv
Sample Rows in Markdown:
|   10 |   3 |   4 |
|-----:|----:|----:|
|   11 |  37 |  38 |
|   34 |  19 |  39 |


Output Table:
|   10 |   1 |   2 |   3 |   4 |
|-----:|----:|----:|----:|----:|
|   11 |  12 |  13 |  37 |  38 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
input_1.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   value |
|--------:|
|     0   |
|    10   |
|     3   |
|    18.3 |
|     7.6 |
|     2   |


Table #1
Filename: input_1.csv
Sample Rows in Markdown:
|   value |
|--------:|
|     1   |
|    13   |
|     1.6 |
|    32.1 |
|     7.7 |


Output Table:
|   value |
|--------:|
|     1   |
|     0   |
|    10   |
|     3   |
|     1.6 |
|    32.1 |
|    18.3 |
|     7.6 |
|     2   |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
input_1.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
| date     |   score |
|:---------|--------:|
| 3/9/12   |     100 |
| 3/10/12  |      99 |
| 4/9/12   |     102 |
| 9/9/12   |     103 |
| 11/9/12  |     111 |
| 30/9/12  |      98 |
| 31/10/12 |     103 |
| 1/11/12  |     104 |


Output Table:
| date     |   score |
|:---------|--------:|
| 3/9/12   |     100 |
| 9/9/12   |     103 |
| 30/9/12  |      98 |
| 4/9/12   |     102 |
| 3/10/12  |      99 |
| 31/10/12 |     103 |
| 1/11/12  |     104 |
| 11/9/12  |     111 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   id | col1   | col2   | col3   |   value |
|-----:|:-------|:-------|:-------|--------:|
|    1 | A1     | B1     | before |      20 |
|    2 | A1     | B1     | after  |      13 |
|    3 | A1     | B2     | before |      11 |
|    4 | A1     | B2     | after  |      21 |
|    5 | A2     | B1     | before |      18 |
|    6 | A2     | B2     | after  |      22 |


Output Table:
|   after |   before |
|--------:|---------:|
|      13 |       20 |
|      21 |       11 |
|      22 |       18 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   ID | admit      | discharge   | discharge_location   |   first |
|-----:|:-----------|:------------|:---------------------|--------:|
|   20 | 2018-03-04 | 2018-03-06  | Home1                |      11 |
|   21 | 2018-02-02 | 2018-02-06  | Home2                |      10 |
|   22 | 2018-02-05 | 2018-02-23  | Home3                |       9 |
|   32 | 2018-01-02 | 2018-02-03  | Home4                |       8 |
|   31 | 2018-01-15 | 2018-01-18  | Home5                |      12 |
|   33 | 2018-01-20 | 2018-01-24  | Home6                |       7 |


Output Table:
|   ID | admit      | discharge   | discharge_location   |   first |
|-----:|:-----------|:------------|:---------------------|--------:|
|   20 | 2018-03-04 | 2018-03-06  | Home1                |      11 |
|   21 | 2018-02-02 | 2018-02-06  | Home2                |      10 |
|   22 | 2018-02-05 | 2018-02-23  | Home3                |       9 |
|   31 | 2018-01-15 | 2018-01-18  | Home5                |      12 |
|   32 | 2018-01-02 | 2018-02-03  | Home4                |       8 |
|   33 | 2018-01-20 | 2018-01-24  | Home6                |       7 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   C1 |   C2 |   C3 |
|-----:|-----:|-----:|
|  100 |  201 |  301 |
|  102 |  202 |  302 |
|  103 |  203 |  303 |
|  104 |  204 |  304 |
|  105 |  205 |  305 |
|  106 |  206 |  306 |
|  107 |  207 |  307 |


Table #1
Filename: input_1.csv
Sample Rows in Markdown:
| C1   | C2   | C3   |
|:-----|:-----|:-----|
| 1002 | 2002 | 3002 |
| v1   | v2   | v3   |
| v4   | v5   | v6   |
| 1007 | 2007 | 3007 |


Output Table:
| C1   | C2   | C3   |
|:-----|:-----|:-----|
| 100  | 201  | 301  |
| 1002 | 2002 | 3002 |
| v1   | v2   | v3   |
| v4   | v5   | v6   |
| 105  | 205  | 305  |
| 106  | 206  | 306  |
| 1007 | 2007 | 3007 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
input_1.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   col1 |   to_merge_on |
|-------:|--------------:|
|      1 |             2 |
|      3 |             4 |
|      1 |             2 |
|      3 |             4 |


Table #1
Filename: input_1.csv
Sample Rows in Markdown:
|   col2 |   to_merge_on |
|-------:|--------------:|
|      1 |             1 |
|      2 |             3 |
|      3 |             5 |


Output Table:
|   col1 |   to_merge_on | col2   |
|-------:|--------------:|:-------|
|      1 |             2 |        |
|      3 |             4 |        |
|      1 |             2 |        |
|      3 |             4 |        |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
input_1.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   daysago |   line_race |   rating |       rw |   wrating |
|----------:|------------:|---------:|---------:|----------:|
|        62 |         111 |        2 | 0.99999  |   1.99998 |
|        83 |         211 |        3 | 0.97     |   2.91    |
|       111 |          29 |        4 | 0.9      |   3.6     |
|       139 |         110 |        5 | 0.880678 |   4.40339 |
|       160 |         210 |        6 | 0.793033 |   4.7582  |
|       204 |          39 |        7 | 0.636655 |   4.45658 |
|       222 |          28 |        8 | 0.581946 |   4.65557 |
|       245 |          49 |        9 | 0.518825 |   4.66943 |
|       258 |         311 |       10 | 0.486226 |   4.86226 |
|       275 |          48 |       11 | 0.446667 |   4.91334 |


Output Table:
|   daysago |   line_race |   rating |       rw |   wrating |
|----------:|------------:|---------:|---------:|----------:|
|        62 |         111 |        2 | 0.99999  |   1.99998 |
|        83 |         211 |        3 | 0.97     |   2.91    |
|       111 |          29 |        4 | 0.9      |   3.6     |
|       139 |         110 |        5 | 0.880678 |   4.40339 |
|       160 |         210 |        6 | 0.793033 |   4.7582  |
|       204 |          39 |        7 | 0.636655 |   4.45658 |
|       222 |          28 |        8 | 0.581946 |   4.65557 |
|       245 |          49 |        9 | 0.518825 |   4.66943 |
|       258 |         311 |       10 | 0.486226 |   4.86226 |
|       275 |          48 |       11 | 0.446667 |   4.91334 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   id |   valueA |
|-----:|---------:|
|  255 |     1141 |
|   91 |     1130 |
|  347 |      830 |
|   30 |      757 |
|   68 |      736 |
|  159 |      715 |
|   32 |      713 |
|  110 |      683 |
|  225 |      638 |
|  257 |      616 |


Table #1
Filename: input_1.csv
Sample Rows in Markdown:
|   id |   valueB |
|-----:|---------:|
|  255 |     1231 |
|   91 |     1170 |
| 5247 |      954 |
|  347 |      870 |
|   30 |      757 |
|   68 |      736 |
|  159 |      734 |
|   32 |      713 |
|  110 |      683 |
|  225 |      644 |


Output Table:
|   id |   valueA |   valueB |
|-----:|---------:|---------:|
|  255 |     1141 |     1231 |
|   91 |     1130 |     1170 |
|  347 |      830 |      870 |
|  159 |      715 |      734 |
|  225 |      638 |      644 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
input_1.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
| time     | contract   | ticker   |   expiry |   strike | quote   |   price |   volume |
|:---------|:-----------|:---------|---------:|---------:|:--------|--------:|---------:|
| 08:01:08 | C          | PXA      | 20100101 |     4000 | A       |    57.8 |       60 |
| 08:01:11 | C          | PXA      | 20100101 |     4000 | A       |    58.4 |       60 |
| 08:01:12 | C          | PXA      | 20100101 |     4000 | A       |    58   |       60 |
| 08:01:16 | C          | PXA      | 20100101 |     4000 | A       |    58.4 |       60 |
| 08:01:16 | C          | PXA      | 20100101 |     4000 | A       |    58   |       60 |
| 08:01:21 | C          | PXA      | 20100101 |     4000 | A       |    58.4 |       60 |
| 08:01:21 | C          | PXA      | 20100101 |     4000 | A       |    58   |       60 |


Output Table:
| time     |   price |   volume |
|:---------|--------:|---------:|
| 08:01:08 |    57.8 |       60 |
| 08:01:11 |    58.4 |       60 |
| 08:01:12 |    58   |       60 |
| 08:01:16 |    58.2 |       60 |
| 08:01:21 |    58.2 |       60 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
| Player   | Team    |   Shots |   Passes |   Tackles |
|:---------|:--------|--------:|---------:|----------:|
| Abdoun   | Algeria |       0 |        6 |         0 |
| Abe      | Japan   |       3 |      101 |        14 |
| Abidal   | France  |       0 |       91 |         6 |
| Abreu    | Uruguay |       5 |       15 |         0 |


Output Table:
| Var     |   Mean |
|:--------|-------:|
| Passes  |  53.25 |
| Tackles |   5    |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   a |   b |   d |
|----:|----:|----:|
|   1 |   1 |   0 |
|   1 |   1 | 200 |
|   1 |   1 | 300 |
|   1 |   1 |   0 |
|   1 |   1 | 600 |
|   1 |   2 |   0 |
|   1 |   2 | 100 |
|   1 |   2 | 200 |
|   1 |   3 |   0 |


Output Table:
|       d |
|--------:|
| 366.667 |
| 150     |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: AutoPandas)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
| Name   |   Month |   Rate1 |   Rate2 |
|:-------|--------:|--------:|--------:|
| Aira   |       1 |      12 |      23 |
| Aira   |       2 |      18 |      73 |
| Ben    |       1 |      53 |      19 |
| Ben    |       2 |      22 |      87 |
| Cat    |       1 |      22 |      87 |
| Cat    |       2 |      27 |      43 |


Output Table:
| Name   |   Rate1 |   Rate2 |
|:-------|--------:|--------:|
| Aira   |    15   |      48 |
| Ben    |    37.5 |      53 |
| Cat    |    24.5 |      65 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   id |   rev | content   |
|-----:|------:|:----------|
|    1 |     1 | A         |
|    2 |     1 | B         |
|    1 |     2 | C         |
|    1 |     3 | D         |


Output Table:
|   col1 |   col2 | col3   |
|-------:|-------:|:-------|
|      1 |      3 | D      |
|      2 |      1 | B      |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
| a   |   b |
|:----|----:|
| ALA |   2 |
| ASP |   1 |
| SER |   1 |
| VAL |   2 |


Output Table:
| a   |   max(b) |
|:----|---------:|
| ALA |        2 |
| VAL |        2 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   Id | Name   | Other_Columns   |
|-----:|:-------|:----------------|
|    1 | A      | A_data_1        |
|    2 | A      | A_data_2        |
|    3 | A      | A_data_3        |
|    4 | B      | B_data_1        |
|    5 | B      | B_data_2        |
|    6 | C      | C_data_1        |


Output Table:
|   col1 | col2   | col3     |
|-------:|:-------|:---------|
|      3 | A      | A_data_3 |
|      5 | B      | B_data_2 |
|      6 | C      | C_data_1 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|      Id | Name       | Status   | Content_type   |
|--------:|:-----------|:---------|:---------------|
| 2960671 | PostJob    | Error    | general_url    |
| 2960670 | auto_index | Done     | general_url    |
| 2960669 | auto_index | Done     | document       |
| 2960668 | auto_index | Error    | document       |
| 2960667 | auto_index | Error    | document       |


Output Table:
|   c1 | c2          |
|-----:|:------------|
|    1 | general_url |
|    2 | document    |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   id | country   | status    |
|-----:|:----------|:----------|
|    1 | SE        | TREATED   |
|    2 | DK        | UNTREATED |
|    3 | SE        | UNTREATED |


Output Table:
|   id | country   | status   |
|-----:|:----------|:---------|
|    1 | SE        | TREATED  |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   ID | NAME   | EMAIL       |
|-----:|:-------|:------------|
|    1 | John   | asd@asd.com |
|    2 | Sam    | asd@asd.com |
|    3 | Tom    | asd@asd.com |
|    4 | Bob    | bob@asd.com |
|    5 | Tom    | asd@asd.com |


Output Table:
| c   |
|:----|
| Tom |
| Tom |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   locId | dtg                 |   temp |
|--------:|:--------------------|-------:|
|     100 | 2009-02-25 10:00:00 |     15 |
|     200 | 2009-02-25 10:00:00 |     20 |
|     300 | 2009-02-25 10:00:00 |     24 |
|     100 | 2009-02-25 09:45:00 |     13 |
|     300 | 2009-02-25 09:45:00 |     16 |
|     200 | 2009-02-25 09:45:00 |     18 |
|     400 | 2009-02-25 09:45:00 |     12 |
|     100 | 2009-02-25 09:30:00 |     11 |
|     300 | 2009-02-25 09:30:00 |     14 |
|     200 | 2009-02-25 09:30:00 |     15 |


Output Table:
|   locID | dtg                 |   tmp |
|--------:|:--------------------|------:|
|     100 | 2009-02-25 10:00:00 |    15 |
|     200 | 2009-02-25 10:00:00 |    20 |
|     300 | 2009-02-25 10:00:00 |    24 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
| username   | date       |   value |
|:-----------|:-----------|--------:|
| brad       | 2010-01-02 |     1.1 |
| fred       | 2010-01-03 |     1   |
| bob        | 2009-08-04 |     1.5 |
| brad       | 2010-02-02 |     1.2 |
| fred       | 2009-12-02 |     1.3 |


Output Table:
| username   | date       |   value |
|:-----------|:-----------|--------:|
| brad       | 2010-01-02 |     1.1 |
| fred       | 2010-01-03 |     1   |
| bob        | 2009-08-04 |     1.5 |
| brad       | 2010-02-02 |     1.2 |
| fred       | 2009-12-02 |     1.3 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   id |   home | datetime   | player   |   resource |
|-----:|-------:|:-----------|:---------|-----------:|
|    1 |     10 | 04/03/2009 | john     |        399 |
|    2 |     11 | 04/03/2009 | juliet   |        244 |
|    5 |     12 | 04/03/2009 | borat    |        555 |
|    3 |     10 | 03/03/2009 | john     |        300 |
|    4 |     11 | 03/03/2009 | juliet   |        200 |
|    6 |     12 | 03/03/2009 | borat    |        500 |
|    7 |     13 | 24/12/2008 | borat    |        600 |
|    8 |     13 | 01/01/2009 | borat    |        700 |


Output Table:
|   id |   home | datetime   | player   |   resource |
|-----:|-------:|:-----------|:---------|-----------:|
|    1 |     10 | 04/03/2009 | john     |        399 |
|    2 |     11 | 04/03/2009 | juliet   |        244 |
|    5 |     12 | 04/03/2009 | borat    |        555 |
|    8 |     13 | 01/01/2009 | borat    |        700 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   c1 |   c2 | c3   |    c4 | c5      |
|-----:|-----:|:-----|------:|:--------|
|    2 |  145 | xxx  | 10000 | message |
|    6 | 1743 | yyy  |   999 | message |
|    7 |   14 | bbb  |   899 | message |
|    1 |  145 | xxx  | 10000 | message |
|    5 | 1743 | me   |  1200 | message |


Output Table:
|   c1 |   c2 | c3   |    c4 | c5      |
|-----:|-----:|:-----|------:|:--------|
|    2 |  145 | xxx  | 10000 | message |
|    6 | 1743 | yyy  |   999 | message |
|    7 |   14 | bbb  |   899 | message |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
| ErrorName   |   Value |
|:------------|--------:|
| Error1      |       3 |
| Error2      |       2 |
| Error3      |       2 |
| Error1      |       1 |
| Error2      |       1 |


Output Table:
| c1     |   c2 |
|:-------|-----:|
| Error1 |    4 |
| Error2 |    3 |
| Error3 |    2 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   id | customer   |   total |
|-----:|:-----------|--------:|
|    1 | Joe        |       5 |
|    2 | Sally      |       3 |
|    3 | Joe        |       2 |
|    4 | Sally      |       1 |


Output Table:
|   FIRST(id) | customer   |   FIRST(total) |
|------------:|:-----------|---------------:|
|           1 | Joe        |              5 |
|           2 | Sally      |              3 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   Team | Player   |
|-------:|:---------|
|      1 | John     |
|      1 | Billy    |
|      2 | Dillan   |
|      2 | Brady    |
|      2 | Brady    |
|      3 | John     |
|      4 | Gary     |
|      4 | Gary     |


Output Table:
|   c1 |
|-----:|
|    2 |
|    4 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   Id | Plan   | Attributes   | Value   |
|-----:|:-------|:-------------|:--------|
|    1 | A      | Name         | AAA     |
|    2 | A      | Class        | P       |
|    3 | A      | IsActive     | True    |
|    4 | B      | Name         | BBB     |
|    5 | B      | Class        | Q       |
|    6 | B      | IsActive     | False   |
|    7 | C      | Name         | CCC     |
|    8 | C      | Class        | R       |
|    9 | C      | IsActive     | True    |


Output Table:
|   Id | Plan   | Attributes   | Value   |
|-----:|:-------|:-------------|:--------|
|    1 | A      | Name         | AAA     |
|    2 | A      | Class        | P       |
|    3 | A      | IsActive     | True    |
|    7 | C      | Name         | CCC     |
|    8 | C      | Class        | R       |
|    9 | C      | IsActive     | True    |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
| yrq   | start_date   | end_date   |
|:------|:-------------|:-----------|
| B233  | 2013-01-07   | 2013-03-23 |
| B232  | 2012-09-24   | 2012-12-20 |
| B231  | 2012-06-25   | 2012-09-13 |
| B124  | 2012-04-02   | 2012-06-21 |
| B123  | 2012-01-09   | 2012-03-27 |


Output Table:
| col1   |
|:-------|
| B233   |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   Emp_ID | Promo_Date   |
|---------:|:-------------|
|        1 | 07/01/2012   |
|        1 | 07/01/2013   |
|        2 | 07/19/2012   |
|        2 | 07/19/2013   |
|        3 | 08/21/2012   |
|        3 | 08/21/2013   |


Table #1
Filename: input_1.csv
Sample Rows in Markdown:
|   Emp_ID | Sale_Date   |
|---------:|:------------|
|        1 | 06/12/2013  |
|        1 | 06/30/2013  |
|        1 | 07/15/2013  |
|        2 | 06/15/2013  |
|        2 | 06/17/2013  |
|        2 | 08/01/2013  |
|        3 | 07/31/2013  |
|        3 | 09/01/2013  |


Output Table:
|   Emp_ID | Sale_Date   | Promo_Date   |
|---------:|:------------|:-------------|
|        1 | 06/12/2013  | 07/01/2012   |
|        1 | 06/30/2013  | 07/01/2012   |
|        1 | 06/12/2013  | 07/01/2013   |
|        1 | 06/30/2013  | 07/01/2013   |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
input_1.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   chapterid | xmlfile   |
|------------:|:----------|
|        1234 | 123.xml   |
|        1234 | 123.xml   |
|        1234 | 123.xml   |
|        1234 | 123.xml   |
|        4567 | 123.xml   |
|        4567 | 123.xml   |
|        6789 | 145.xml   |
|        7890 | 234.xml   |
|        7890 | 234.xml   |
|        7890 | 234.xml   |


Output Table:
|   chapterid | xmlfile   |
|------------:|:----------|
|        1234 | 123.xml   |
|        4567 | 123.xml   |
|        6789 | 145.xml   |
|        7890 | 234.xml   |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
| User   |   Phone |   Value |
|:-------|--------:|--------:|
| Peter  |       0 |       1 |
| Peter  |     456 |       2 |
| Peter  |     456 |       3 |
| Paul   |     456 |       7 |
| Paul   |     789 |      10 |


Output Table:
| c1    |   c2 |   c3 |
|:------|-----:|-----:|
| Peter |  456 |    3 |
| Paul  |  456 |    7 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   chapterid | xmlfile   |
|------------:|:----------|
|        1234 | 123.xml   |
|        1234 | 123.xml   |
|        1234 | 123.xml   |
|        1234 | 123.xml   |
|        4567 | 123.xml   |
|        4567 | 123.xml   |
|        6789 | 145.xml   |
|        7890 | 234.xml   |
|        7890 | 234.xml   |
|        7890 | 234.xml   |


Output Table:
|   chapterid | xmlfile   |
|------------:|:----------|
|        1234 | 123.xml   |
|        4567 | 123.xml   |
|        7890 | 234.xml   |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   book_id |   author_id |   mark |   year |
|----------:|------------:|-------:|-------:|
|         1 |           1 |      1 |   2014 |
|         1 |           1 |      2 |   2014 |
|         1 |           1 |      3 |   2015 |


Output Table:
|   book_id |   author_id |   mark |   year |
|----------:|------------:|-------:|-------:|
|         1 |           1 |      3 |   2015 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   trans |   user |   Month |
|--------:|-------:|--------:|
|     100 |      1 |       1 |
|     102 |      2 |       1 |
|     103 |      3 |       1 |
|     100 |      1 |       2 |
|     103 |      2 |       2 |
|     103 |      3 |       2 |
|     104 |      1 |       3 |
|     104 |      2 |       3 |
|     101 |      3 |       3 |


Output Table:
|   Avgtrans |   user3Trans |   Month |
|-----------:|-------------:|--------:|
|      101   |          103 |       1 |
|      101.5 |          103 |       2 |
|      104   |          101 |       3 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   number |   quantity |   retail_price |
|---------:|-----------:|---------------:|
|     1007 |        288 |           5.75 |
|     1007 |         48 |           5.51 |
|     1007 |        576 |           5.46 |
|     1007 |         96 |           5.24 |
|     1007 |        576 |           5.23 |
|     1007 |        144 |           5.12 |
|     1006 |        200 |           5.76 |
|     1006 |        100 |           5.55 |
|     1006 |        200 |           5.04 |
|     1006 |        500 |           5.01 |


Output Table:
|   number |   quantity |   retail_price |
|---------:|-----------:|---------------:|
|     1006 |        500 |           5.01 |
|     1007 |        576 |           5.46 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   NBR |   ID | DT         |
|------:|-----:|:-----------|
|     1 |    1 | 12/01/2001 |
|     1 |    2 | 01/01/2001 |
|     2 |    3 | 01/01/2001 |
|     2 |    4 | 01/02/2001 |


Output Table:
|   NBR |   ID | DT         |
|------:|-----:|:-----------|
|     1 |    2 | 01/01/2001 |
|     2 |    3 | 01/01/2001 |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
|   ARIDNR | LIEFNR   |
|---------:|:---------|
|        1 | A        |
|        2 | A        |
|        3 | A        |
|        1 | B        |
|        2 | B        |


Output Table:
|   ARIDNR | LIEFNR   |
|---------:|:---------|
|        1 | A        |
|        1 | B        |
|        2 | A        |
|        2 | B        |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
| Customer    | email          |   ZIP |   shop |
|:------------|:---------------|------:|-------:|
| John Smith  | js@mail.com    | 75016 |      1 |
| Mary King   | mary@ymail.com | 97430 |      2 |
| John Smith  | js@mail.com    | 75016 |      3 |
| Ivan Turtle | ivan@mail.com  | 56266 |      5 |
| Mary King   | mary@ymail.com | 97430 |      5 |
| John Smith  | js@mail.com    | 75016 |      5 |


Output Table:
| c1         |
|:-----------|
| John Smith |
| Mary King  |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
Task: Transform-by-input-output-table (source dataset: Scythe)

Your task is to create a data transformation pipeline in Python using pandas libraries.

Given input table(s) and a corresponding output table below, please write Python pandas code that can transform the input table into the given output table. Your code should save the resulting DataFrame to a CSV file named 'output.csv'. Ensure that the code is executable and can be run directly as is, in a Python environment with pandas installed.

Input Table:


Table #0
Filename: input_0.csv
Sample Rows in Markdown:
| GUID   | PID   |
|:-------|:------|
| GUID1  | PID1  |
| GUID1  | PID1  |
| GUID1  | PID1  |
| GUID2  | PID1  |
| GUID3  | PID2  |
| GUID3  | PID2  |
| GUID3  | PID2  |


Table #1
Filename: input_1.csv
Sample Rows in Markdown:
| GUID   | LastName   | FirstName   |
|:-------|:-----------|:------------|
| GUID1  | Mulder     | Fox         |
| GUID2  | Scully     | Dana        |
| GUID3  | Skinner    | Walter      |


Output Table:
| c1   | c2     | c3          |
|:-----|:-------|:------------|
| PID1 | GUID 1 | Mulder Fox  |
| PID1 | GUID 2 | Scully Dana |

Return only the final code in markdown codeblock format, without any additional text or explanation. 



inputs: input_0.csv
input_1.csv