Prompt_analyzing/pandasai.log at main · yahyamomtaz/Prompt_analyzing · GitHub

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2023-06-26 11:36:17 [INFO] Running PandasAI with openai LLM...
2023-06-26 11:36:17 [INFO] Prompt ID: 57ce9032-ea65-4a6a-8476-41a80e3cb368
2023-06-26 11:38:18 [INFO] Running PandasAI with openai LLM...
2023-06-26 11:38:18 [INFO] Prompt ID: 0a5f09e0-d564-478a-a14f-0a9deaa1aea7
2023-06-26 11:40:12 [INFO] Running PandasAI with openai LLM...
2023-06-26 11:40:12 [INFO] Prompt ID: b104fa6b-a4da-4b0e-b441-74be3b4644a5
2023-06-26 11:42:27 [INFO] Running PandasAI with openai LLM...
2023-06-26 11:42:27 [INFO] Prompt ID: a8efd1d5-1b13-4860-92c5-63facf40a55d
2023-06-26 11:42:56 [INFO] Running PandasAI with openai LLM...
2023-06-26 11:42:56 [INFO] Prompt ID: fcfb097c-dffb-46b9-aa38-8da79dda372d
2023-06-26 11:45:17 [INFO] Running PandasAI with openai LLM...
2023-06-26 11:45:17 [INFO] Prompt ID: 63819298-acde-4f80-bdd4-271eba7a8ba8
2023-06-26 11:45:23 [INFO]
                        Code generated:
                        ```
                        import pandas as pd

# create the dataframe
data = {'country': ['United Kingdom', 'Italy', 'France', 'United States', 'Germany'],
        'gdp': [2891615567872, 5852180665, 4848223125, 3345969169, 672521114],
        'happiness_index': [6.38, 6.94, 7.07, 6.66, 7.07]}
df = pd.DataFrame(data)

# sort the dataframe by happiness index in descending order and select the top 5 rows
top_5_happiest = df.sort_values('happiness_index', ascending=False).head(5)

print(top_5_happiest['country']) # print the names of the top 5 happiest countries
                        ```

2023-06-26 11:45:23 [INFO]
Code running:
```
data = {'country': ['United Kingdom', 'Italy', 'France', 'United States',
    'Germany'], 'gdp': [2891615567872, 5852180665, 4848223125, 3345969169,
    672521114], 'happiness_index': [6.38, 6.94, 7.07, 6.66, 7.07]}
top_5_happiest = df.sort_values('happiness_index', ascending=False).head(5)
print(top_5_happiest['country'])
```
2023-06-26 11:45:23 [INFO] Answer: 6            Canada
7         Australia
1    United Kingdom
3           Germany
0     United States
Name: country, dtype: object
2023-06-26 11:45:23 [INFO] Executed in: 6.2730183601379395s
2023-06-26 11:52:58 [INFO] Running PandasAI with openai LLM...
2023-06-26 11:52:58 [INFO] Prompt ID: ba23767f-b738-473f-b186-72c5bb0ff0ce
2023-06-26 11:53:43 [INFO] Running PandasAI with openai LLM...
2023-06-26 11:53:43 [INFO] Prompt ID: 694353e5-52ee-47d5-9d32-eb6669a56d81
2023-06-26 12:16:00 [INFO] Running PandasAI with openai LLM...
2023-06-26 12:16:00 [INFO] Prompt ID: fab01252-ff17-409c-905d-2cc70f6de1d4
2023-06-26 12:19:09 [INFO] Running PandasAI with openai LLM...
2023-06-26 12:19:09 [INFO] Prompt ID: 7fbaec57-748b-4311-af6a-dd5f57e4e66a
2023-06-26 12:23:25 [INFO] Running PandasAI with openai LLM...
2023-06-26 12:23:25 [INFO] Prompt ID: 7309065d-b8ed-4d48-b4f1-425f12b7ab39
2023-06-26 12:26:38 [INFO] Running PandasAI with openai LLM...
2023-06-26 12:26:38 [INFO] Prompt ID: 2a4676a7-8687-4104-8b57-a37d1ed67cfb
2023-06-26 12:28:14 [INFO] Running PandasAI with openai LLM...
2023-06-26 12:28:14 [INFO] Prompt ID: 3ac2a429-d7c9-44bd-9e0b-f40be04be5c0
2023-06-26 12:32:35 [INFO] Running PandasAI with openai LLM...
2023-06-26 12:32:35 [INFO] Prompt ID: 3f85df80-cc08-42f4-8591-0c756832ace4