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2024-10-08 17:40:33 [INFO] Question: how many rows are there in the table?
2024-10-08 17:40:33 [INFO] Running PandasAI with local LLM...
2024-10-08 17:40:33 [INFO] Prompt ID: c12b7bcb-1bda-445a-b868-ac6cd86c026f
2024-10-08 17:40:33 [INFO] Executing Pipeline: GenerateChatPipeline
2024-10-08 17:40:33 [INFO] Executing Step 0: ValidatePipelineInput
2024-10-08 17:40:33 [INFO] Executing Step 1: CacheLookup
2024-10-08 17:40:33 [INFO] Executing Step 2: PromptGeneration
2024-10-08 17:40:33 [INFO] Using prompt: <dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
1,3,male,65.0,8,5,211.5,S,First,woman,False,C,Cherbourg,no,False
0,2,female,59.0,5,2,15.2458,,Third,child,True,,Queenstown,no,True
1,1,male,,1,1,14.0,Q,Second,man,True,B,,yes,True
</dataframe>
Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd
# Write code here
# Declare result var:
type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```
### QUERY
how many rows are there in the table?
Variable `dfs: list[pd.DataFrame]` is already declared.
At the end, declare "result" variable as a dictionary of type and value.
If you are asked to plot a chart, use "matplotlib" for charts, save as png.
Generate python code and return full updated code:
2024-10-08 17:40:33 [INFO] Executing Step 3: CodeGenerator
2024-10-08 17:41:44 [INFO] HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
2024-10-08 17:41:44 [INFO] Prompt used:
<dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
1,3,male,65.0,8,5,211.5,S,First,woman,False,C,Cherbourg,no,False
0,2,female,59.0,5,2,15.2458,,Third,child,True,,Queenstown,no,True
1,1,male,,1,1,14.0,Q,Second,man,True,B,,yes,True
</dataframe>
Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd
# Write code here
# Declare result var:
type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```
### QUERY
how many rows are there in the table?
Variable `dfs: list[pd.DataFrame]` is already declared.
At the end, declare "result" variable as a dictionary of type and value.
If you are asked to plot a chart, use "matplotlib" for charts, save as png.
Generate python code and return full updated code:
2024-10-08 17:41:44 [INFO] Code generated:
```
# TODO: import the required dependencies
import pandas as pd
# Import 'matplotlib' for plotting if requested.
import matplotlib.pyplot as plt
# Initialize result variable with empty dictionary.
result = {"type": "", "value": ""}
# Iterate over each DataFrame in the list.
for df in dfs:
# Print number of rows in the current DataFrame.
num_rows = len(df)
print(f"There are {num_rows} rows in this table.")
# Update result variable for first (and only) DataFrame.
if not result["type"]:
result = {"type": "number", "value": num_rows}
# Print result.
print(result)
```
2024-10-08 17:41:44 [INFO] Executing Step 4: CachePopulation
2024-10-08 17:41:44 [INFO] Executing Step 5: CodeCleaning
2024-10-08 17:41:44 [INFO]
Code running:
```
result = {'type': '', 'value': ''}
for df in dfs:
num_rows = len(df)
print(f'There are {num_rows} rows in this table.')
if not result['type']:
result = {'type': 'number', 'value': num_rows}
print(result)
```
2024-10-08 17:41:44 [INFO] Executing Step 6: CodeExecution
2024-10-08 17:41:44 [INFO] Executing Step 7: ResultValidation
2024-10-08 17:41:44 [INFO] Answer: {'type': 'number', 'value': 891}
2024-10-08 17:41:44 [INFO] Executing Step 8: ResultParsing
2024-10-08 17:43:53 [INFO] Question: how many males are above 25 years old?
2024-10-08 17:43:53 [INFO] Running PandasAI with local LLM...
2024-10-08 17:43:53 [INFO] Prompt ID: 090588e5-c9c0-4efc-a17c-afc3d87bc7ee
2024-10-08 17:43:53 [INFO] Executing Pipeline: GenerateChatPipeline
2024-10-08 17:43:53 [INFO] Executing Step 0: ValidatePipelineInput
2024-10-08 17:43:53 [INFO] Executing Step 1: CacheLookup
2024-10-08 17:43:53 [INFO] Executing Step 2: PromptGeneration
2024-10-08 17:43:53 [INFO] Using prompt: <dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,2,male,9.0,0,2,13.4167,,First,woman,False,,Cherbourg,no,True
1,1,male,,5,5,24.0,Q,Second,child,False,C,Southampton,no,False
1,3,female,0.75,8,4,25.4667,C,Third,man,True,G,,yes,True
</dataframe>
Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd
# Write code here
# Declare result var:
type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```
### QUERY
how many males are above 25 years old?
Variable `dfs: list[pd.DataFrame]` is already declared.
At the end, declare "result" variable as a dictionary of type and value.
If you are asked to plot a chart, use "matplotlib" for charts, save as png.
Generate python code and return full updated code:
2024-10-08 17:43:53 [INFO] Executing Step 3: CodeGenerator
2024-10-08 17:44:58 [INFO] HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
2024-10-08 17:44:58 [INFO] Prompt used:
<dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,2,male,9.0,0,2,13.4167,,First,woman,False,,Cherbourg,no,True
1,1,male,,5,5,24.0,Q,Second,child,False,C,Southampton,no,False
1,3,female,0.75,8,4,25.4667,C,Third,man,True,G,,yes,True
</dataframe>
Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd
# Write code here
# Declare result var:
type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```
### QUERY
how many males are above 25 years old?
Variable `dfs: list[pd.DataFrame]` is already declared.
At the end, declare "result" variable as a dictionary of type and value.
If you are asked to plot a chart, use "matplotlib" for charts, save as png.
Generate python code and return full updated code:
2024-10-08 17:44:58 [INFO] Code generated:
```
# Import the required dependencies
import pandas as pd
# Initialize an empty list to store DataFrames
dfs = []
# Initialize the result variable
result = {}
# Write code here
for i in range(len(dfs)):
# Summarize your logic
males_above_25 = dfs[i].loc[dfs[i]['sex'] == 'male', 'age'].gt(25).sum()
result["type"] = "number"
result["value"] = males_above_25
print(result)
```
2024-10-08 17:44:58 [INFO] Executing Step 4: CachePopulation
2024-10-08 17:44:58 [INFO] Executing Step 5: CodeCleaning
2024-10-08 17:44:58 [INFO]
Code running:
```
result = {}
for i in range(len(dfs)):
males_above_25 = dfs[i].loc[dfs[i]['sex'] == 'male', 'age'].gt(25).sum()
result['type'] = 'number'
result['value'] = males_above_25
print(result)
```
2024-10-08 17:44:58 [INFO] Executing Step 6: CodeExecution
2024-10-08 17:44:58 [ERROR] Failed with error: Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 3, in <module>
AttributeError: 'NoneType' object has no attribute 'loc'
2024-10-08 17:44:58 [WARNING] Failed to execute code retrying with a correction framework [retry number: 1]
2024-10-08 17:44:58 [INFO] Executing Pipeline: ErrorCorrectionPipeline
2024-10-08 17:44:58 [INFO] Executing Step 0: ErrorPromptGeneration
2024-10-08 17:44:58 [INFO] Using prompt: <dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,2,male,9.0,0,2,13.4167,,First,woman,False,,Cherbourg,no,True
1,1,male,,5,5,24.0,Q,Second,child,False,C,Southampton,no,False
1,3,female,0.75,8,4,25.4667,C,Third,man,True,G,,yes,True
</dataframe>
The user asked the following question:
### QUERY
how many males are above 25 years old?
You generated this python code:
result = {}
for i in range(len(dfs)):
males_above_25 = dfs[i].loc[dfs[i]['sex'] == 'male', 'age'].gt(25).sum()
result['type'] = 'number'
result['value'] = males_above_25
print(result)
It fails with the following error:
Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 3, in <module>
AttributeError: 'NoneType' object has no attribute 'loc'
Fix the python code above and return the new python code:
2024-10-08 17:44:58 [INFO] Executing Step 1: CodeGenerator
2024-10-08 17:45:40 [INFO] HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
2024-10-08 17:45:40 [INFO] Prompt used:
<dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,2,male,9.0,0,2,13.4167,,First,woman,False,,Cherbourg,no,True
1,1,male,,5,5,24.0,Q,Second,child,False,C,Southampton,no,False
1,3,female,0.75,8,4,25.4667,C,Third,man,True,G,,yes,True
</dataframe>
The user asked the following question:
### QUERY
how many males are above 25 years old?
You generated this python code:
result = {}
for i in range(len(dfs)):
males_above_25 = dfs[i].loc[dfs[i]['sex'] == 'male', 'age'].gt(25).sum()
result['type'] = 'number'
result['value'] = males_above_25
print(result)
It fails with the following error:
Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 3, in <module>
AttributeError: 'NoneType' object has no attribute 'loc'
Fix the python code above and return the new python code:
2024-10-08 17:45:40 [INFO] Code generated:
```
result = {}
males_above_25 = dfs.loc[dfs['sex'] == 'male', 'age'].gt(25).sum()
result['type'] = 'number'
result['value'] = males_above_25
print(result)
```
2024-10-08 17:45:40 [INFO] Executing Step 2: CodeCleaning
2024-10-08 17:45:40 [INFO]
Code running:
```
result = {}
males_above_25 = dfs.loc[dfs['sex'] == 'male', 'age'].gt(25).sum()
result['type'] = 'number'
result['value'] = males_above_25
print(result)
```
2024-10-08 17:45:40 [ERROR] Failed with error: Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 2, in <module>
AttributeError: 'list' object has no attribute 'loc'
2024-10-08 17:45:40 [WARNING] Failed to execute code retrying with a correction framework [retry number: 2]
2024-10-08 17:45:40 [INFO] Executing Pipeline: ErrorCorrectionPipeline
2024-10-08 17:45:40 [INFO] Executing Step 0: ErrorPromptGeneration
2024-10-08 17:45:40 [INFO] Using prompt: <dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,2,male,9.0,0,2,13.4167,,First,woman,False,,Cherbourg,no,True
1,1,male,,5,5,24.0,Q,Second,child,False,C,Southampton,no,False
1,3,female,0.75,8,4,25.4667,C,Third,man,True,G,,yes,True
</dataframe>
The user asked the following question:
### QUERY
how many males are above 25 years old?
You generated this python code:
result = {}
males_above_25 = dfs.loc[dfs['sex'] == 'male', 'age'].gt(25).sum()
result['type'] = 'number'
result['value'] = males_above_25
print(result)
It fails with the following error:
Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 2, in <module>
AttributeError: 'list' object has no attribute 'loc'
Fix the python code above and return the new python code:
2024-10-08 17:45:40 [INFO] Executing Step 1: CodeGenerator
2024-10-08 17:46:22 [INFO] HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
2024-10-08 17:46:22 [INFO] Prompt used:
<dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,2,male,9.0,0,2,13.4167,,First,woman,False,,Cherbourg,no,True
1,1,male,,5,5,24.0,Q,Second,child,False,C,Southampton,no,False
1,3,female,0.75,8,4,25.4667,C,Third,man,True,G,,yes,True
</dataframe>
The user asked the following question:
### QUERY
how many males are above 25 years old?
You generated this python code:
result = {}
males_above_25 = dfs.loc[dfs['sex'] == 'male', 'age'].gt(25).sum()
result['type'] = 'number'
result['value'] = males_above_25
print(result)
It fails with the following error:
Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 2, in <module>
AttributeError: 'list' object has no attribute 'loc'
Fix the python code above and return the new python code:
2024-10-08 17:46:22 [INFO] Code generated:
```
result = {}
males_above_25 = len(dfs.loc[(dfs['sex'] == 'male') & (dfs['age'].astype(int) > 25)])
result['type'] = 'number'
result['value'] = males_above_25
print(result)
```
2024-10-08 17:46:22 [INFO] Executing Step 2: CodeCleaning
2024-10-08 17:46:22 [INFO]
Code running:
```
result = {}
males_above_25 = len(dfs.loc[(dfs['sex'] == 'male') & (dfs['age'].astype(int) > 25)])
result['type'] = 'number'
result['value'] = males_above_25
print(result)
```
2024-10-08 17:46:22 [ERROR] Failed with error: Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 2, in <module>
AttributeError: 'list' object has no attribute 'loc'
2024-10-08 17:46:22 [WARNING] Failed to execute code retrying with a correction framework [retry number: 3]
2024-10-08 17:46:22 [INFO] Executing Pipeline: ErrorCorrectionPipeline
2024-10-08 17:46:22 [INFO] Executing Step 0: ErrorPromptGeneration
2024-10-08 17:46:22 [INFO] Using prompt: <dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,2,male,9.0,0,2,13.4167,,First,woman,False,,Cherbourg,no,True
1,1,male,,5,5,24.0,Q,Second,child,False,C,Southampton,no,False
1,3,female,0.75,8,4,25.4667,C,Third,man,True,G,,yes,True
</dataframe>
The user asked the following question:
### QUERY
how many males are above 25 years old?
You generated this python code:
result = {}
males_above_25 = len(dfs.loc[(dfs['sex'] == 'male') & (dfs['age'].astype(int) > 25)])
result['type'] = 'number'
result['value'] = males_above_25
print(result)
It fails with the following error:
Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 2, in <module>
AttributeError: 'list' object has no attribute 'loc'
Fix the python code above and return the new python code:
2024-10-08 17:46:22 [INFO] Executing Step 1: CodeGenerator
2024-10-08 17:47:15 [INFO] HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
2024-10-08 17:47:15 [INFO] Prompt used:
<dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,2,male,9.0,0,2,13.4167,,First,woman,False,,Cherbourg,no,True
1,1,male,,5,5,24.0,Q,Second,child,False,C,Southampton,no,False
1,3,female,0.75,8,4,25.4667,C,Third,man,True,G,,yes,True
</dataframe>
The user asked the following question:
### QUERY
how many males are above 25 years old?
You generated this python code:
result = {}
males_above_25 = len(dfs.loc[(dfs['sex'] == 'male') & (dfs['age'].astype(int) > 25)])
result['type'] = 'number'
result['value'] = males_above_25
print(result)
It fails with the following error:
Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 2, in <module>
AttributeError: 'list' object has no attribute 'loc'
Fix the python code above and return the new python code:
2024-10-08 17:47:15 [INFO] Code generated:
```
males_above_25 = 0
for df in dfs:
males_above_25 += len(df.loc[(df['sex'] == 'male') & (df['age'].astype(int) > 25)])
result = {}
result['type'] = 'number'
result['value'] = males_above_25
print(result)
```
2024-10-08 17:47:15 [INFO] Executing Step 2: CodeCleaning
2024-10-08 17:47:15 [INFO]
Code running:
```
males_above_25 = 0
for df in dfs:
males_above_25 += len(df.loc[(df['sex'] == 'male') & (df['age'].astype(int) > 25)])
result = {}
result['type'] = 'number'
result['value'] = males_above_25
print(result)
```
2024-10-08 17:47:15 [ERROR] Unable to extract filters for passed code
2024-10-08 17:47:15 [ERROR] Failed with error: Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 3, in <module>
File "C:\Users\prati\anaconda3\Lib\site-packages\pandas\core\generic.py", line 6240, in astype
new_data = self._mgr.astype(dtype=dtype, copy=copy, errors=errors)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandas\core\internals\managers.py", line 448, in astype
return self.apply("astype", dtype=dtype, copy=copy, errors=errors)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandas\core\internals\managers.py", line 352, in apply
applied = getattr(b, f)(**kwargs)
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandas\core\internals\blocks.py", line 526, in astype
new_values = astype_array_safe(values, dtype, copy=copy, errors=errors)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandas\core\dtypes\astype.py", line 299, in astype_array_safe
new_values = astype_array(values, dtype, copy=copy)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandas\core\dtypes\astype.py", line 230, in astype_array
values = astype_nansafe(values, dtype, copy=copy)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandas\core\dtypes\astype.py", line 140, in astype_nansafe
return _astype_float_to_int_nansafe(arr, dtype, copy)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandas\core\dtypes\astype.py", line 182, in _astype_float_to_int_nansafe
raise IntCastingNaNError(
pandas.errors.IntCastingNaNError: Cannot convert non-finite values (NA or inf) to integer
2024-10-08 17:47:15 [ERROR] Pipeline failed on step 6: Cannot convert non-finite values (NA or inf) to integer
2024-10-08 17:47:51 [INFO] Question: how many males present in data?
2024-10-08 17:47:51 [INFO] Running PandasAI with local LLM...
2024-10-08 17:47:51 [INFO] Prompt ID: 270ff0e3-2217-4360-a8e1-31ad3c811540
2024-10-08 17:47:51 [INFO] Executing Pipeline: GenerateChatPipeline
2024-10-08 17:47:51 [INFO] Executing Step 0: ValidatePipelineInput
2024-10-08 17:47:51 [INFO] Executing Step 1: CacheLookup
2024-10-08 17:47:51 [INFO] Executing Step 2: PromptGeneration
2024-10-08 17:47:51 [INFO] Using prompt: <dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
1,1,female,25.0,2,4,14.5,Q,Third,man,False,D,,yes,False
1,3,male,80.0,1,1,4.0125,,First,child,False,,Queenstown,no,True
0,2,male,,3,2,9.0,C,Second,woman,True,C,Cherbourg,yes,True
</dataframe>
Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd
# Write code here
# Declare result var:
type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```
### QUERY
how many males present in data?
Variable `dfs: list[pd.DataFrame]` is already declared.
At the end, declare "result" variable as a dictionary of type and value.
If you are asked to plot a chart, use "matplotlib" for charts, save as png.
Generate python code and return full updated code:
2024-10-08 17:47:51 [INFO] Executing Step 3: CodeGenerator
2024-10-08 17:49:34 [INFO] HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
2024-10-08 17:49:34 [INFO] Prompt used:
<dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
1,1,female,25.0,2,4,14.5,Q,Third,man,False,D,,yes,False
1,3,male,80.0,1,1,4.0125,,First,child,False,,Queenstown,no,True
0,2,male,,3,2,9.0,C,Second,woman,True,C,Cherbourg,yes,True
</dataframe>
Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd
# Write code here
# Declare result var:
type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```
### QUERY
how many males present in data?
Variable `dfs: list[pd.DataFrame]` is already declared.
At the end, declare "result" variable as a dictionary of type and value.
If you are asked to plot a chart, use "matplotlib" for charts, save as png.
Generate python code and return full updated code:
2024-10-08 17:49:34 [INFO] Code generated:
```
import pandas as pd
from matplotlib import pyplot as plt
# Query: How many males present in data?
dfs = [] # Variable `dfs: list[pd.DataFrame]` is already declared.
# Load your data frame into dfs variable.
dfs.append(pd.DataFrame({
'survived': [1, 1, 0],
'pclass': ['1', '3', '2'],
'sex': ['female', 'male', 'male'],
'age': [25.0, 80.0, ""],
'sibsp': [2, 1, 3],
'parch': [4, 1, 2],
'fare': [14.5, 4.0125, 9.0],
'embarked': ['Q', "", "C"],
'class': ['Third', 'First', 'Second'],
'who': ['man', 'child', 'woman'],
'adult_male': [False, True, True],
'deck': ['', '', ''],
'embark_town': ['Queenstown', '', 'Cherbourg'],
'alive': [False, False, 1],
'alone': [True, True, True]
}))
male_count = dfs[0]['sex'][dfs[0]['sex'] == 'male'].count()
result = {"type": "number", "value": male_count}
print(result)
```
2024-10-08 17:49:34 [INFO] Executing Step 4: CachePopulation
2024-10-08 17:49:34 [INFO] Executing Step 5: CodeCleaning
2024-10-08 17:49:34 [INFO]
Code running:
```
dfs.append(pd.DataFrame({'survived': [1, 1, 0], 'pclass': ['1', '3', '2'], 'sex': ['female', 'male', 'male'], 'age': [25.0, 80.0, ''], 'sibsp': [2, 1, 3], 'parch': [4, 1, 2], 'fare': [14.5, 4.0125, 9.0], 'embarked': ['Q', '', 'C'], 'class': ['Third', 'First', 'Second'], 'who': ['man', 'child', 'woman'], 'adult_male': [False, True, True], 'deck': ['', '', ''], 'embark_town': ['Queenstown', '', 'Cherbourg'], 'alive': [False, False, 1], 'alone': [True, True, True]}))
male_count = dfs[0]['sex'][dfs[0]['sex'] == 'male'].count()
result = {'type': 'number', 'value': male_count}
print(result)
```
2024-10-08 17:49:34 [INFO] Executing Step 6: CodeExecution
2024-10-08 17:49:34 [INFO] Executing Step 7: ResultValidation
2024-10-08 17:49:34 [INFO] Answer: {'type': 'number', 'value': 577}
2024-10-08 17:49:34 [INFO] Executing Step 8: ResultParsing
2024-10-08 17:50:33 [INFO] Question: how many males present in data which are in first class?
2024-10-08 17:50:33 [INFO] Running PandasAI with local LLM...
2024-10-08 17:50:33 [INFO] Prompt ID: 85126d11-7a2d-4220-a88c-abde0f67bc48
2024-10-08 17:50:33 [INFO] Executing Pipeline: GenerateChatPipeline
2024-10-08 17:50:33 [INFO] Executing Step 0: ValidatePipelineInput
2024-10-08 17:50:33 [INFO] Executing Step 1: CacheLookup
2024-10-08 17:50:33 [INFO] Executing Step 2: PromptGeneration
2024-10-08 17:50:33 [INFO] Using prompt: <dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,2,male,,3,3,14.4583,,Third,woman,True,G,Cherbourg,no,False
1,1,male,14.5,8,1,26.2833,C,First,man,False,A,,yes,False
0,3,female,60.0,2,2,57.9792,Q,Second,child,True,,Southampton,no,True
</dataframe>
Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd
# Write code here
# Declare result var:
type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```
### QUERY
how many males present in data which are in first class?
Variable `dfs: list[pd.DataFrame]` is already declared.
At the end, declare "result" variable as a dictionary of type and value.
If you are asked to plot a chart, use "matplotlib" for charts, save as png.
Generate python code and return full updated code:
2024-10-08 17:50:33 [INFO] Executing Step 3: CodeGenerator
2024-10-08 17:51:30 [INFO] HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
2024-10-08 17:51:30 [ERROR] Pipeline failed on step 3: No code found in the response
2024-10-08 17:54:27 [INFO] Question: In the data how many sex - males are present who have class - First ?
2024-10-08 17:54:27 [INFO] Running PandasAI with local LLM...
2024-10-08 17:54:27 [INFO] Prompt ID: 2b549880-7d0f-4c25-bb99-c838790074ba
2024-10-08 17:54:27 [INFO] Executing Pipeline: GenerateChatPipeline
2024-10-08 17:54:27 [INFO] Executing Step 0: ValidatePipelineInput
2024-10-08 17:54:27 [INFO] Executing Step 1: CacheLookup
2024-10-08 17:54:27 [INFO] Executing Step 2: PromptGeneration
2024-10-08 17:54:27 [INFO] Using prompt: <dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,3,male,22.0,8,4,21.075,S,Third,woman,False,,Cherbourg,yes,False
0,1,female,59.0,3,2,13.0,C,Second,man,True,G,Queenstown,no,True
1,2,female,,4,6,15.2458,,First,child,False,B,,no,False
</dataframe>
Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd
# Write code here
# Declare result var:
type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```
### QUERY
In the data how many sex - males are present who have class - First ?
Variable `dfs: list[pd.DataFrame]` is already declared.
At the end, declare "result" variable as a dictionary of type and value.
If you are asked to plot a chart, use "matplotlib" for charts, save as png.
Generate python code and return full updated code:
2024-10-08 17:54:27 [INFO] Executing Step 3: CodeGenerator
2024-10-08 17:55:43 [INFO] HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
2024-10-08 17:55:43 [INFO] Prompt used:
<dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,3,male,22.0,8,4,21.075,S,Third,woman,False,,Cherbourg,yes,False
0,1,female,59.0,3,2,13.0,C,Second,man,True,G,Queenstown,no,True
1,2,female,,4,6,15.2458,,First,child,False,B,,no,False
</dataframe>
Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd
# Write code here
# Declare result var:
type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```
### QUERY
In the data how many sex - males are present who have class - First ?
Variable `dfs: list[pd.DataFrame]` is already declared.
At the end, declare "result" variable as a dictionary of type and value.
If you are asked to plot a chart, use "matplotlib" for charts, save as png.
Generate python code and return full updated code:
2024-10-08 17:55:43 [INFO] Code generated:
```
Python
# TODO: import the required dependencies
import pandas as pd
# Initialize dfs variable
dfs = ...
dfs[0].head() # Assuming your data is in the first dataframe
# Filter males who belong to 'First' class
first_class_males = dfs[0][dfs[0]['sex'] == 'male'][dfs[0]['class'] == 'First']
# Count the number of males who belong to 'First' class
result_count = len(first_class_males)
# Declare result variable as a dictionary
result = {"type": "number", "value": result_count}
print(result)
```
2024-10-08 17:55:43 [INFO] Executing Step 4: CachePopulation
2024-10-08 17:55:43 [INFO] Executing Step 5: CodeCleaning
2024-10-08 17:55:43 [INFO]
Code running:
```
Python
dfs[0].head()
first_class_males = dfs[0][dfs[0]['sex'] == 'male'][dfs[0]['class'] == 'First']
result_count = len(first_class_males)
result = {'type': 'number', 'value': result_count}
print(result)
```
2024-10-08 17:55:43 [INFO] Executing Step 6: CodeExecution
2024-10-08 17:55:43 [ERROR] Failed with error: Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 1, in <module>
NameError: name 'Python' is not defined
2024-10-08 17:55:43 [WARNING] Failed to execute code retrying with a correction framework [retry number: 1]
2024-10-08 17:55:43 [INFO] Executing Pipeline: ErrorCorrectionPipeline
2024-10-08 17:55:43 [INFO] Executing Step 0: ErrorPromptGeneration
2024-10-08 17:55:43 [INFO] Using prompt: <dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,3,male,22.0,8,4,21.075,S,Third,woman,False,,Cherbourg,yes,False
0,1,female,59.0,3,2,13.0,C,Second,man,True,G,Queenstown,no,True
1,2,female,,4,6,15.2458,,First,child,False,B,,no,False
</dataframe>
The user asked the following question:
### QUERY
In the data how many sex - males are present who have class - First ?
You generated this python code:
Python
dfs[0].head()
first_class_males = dfs[0][dfs[0]['sex'] == 'male'][dfs[0]['class'] == 'First']
result_count = len(first_class_males)
result = {'type': 'number', 'value': result_count}
print(result)
It fails with the following error:
Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 1, in <module>
NameError: name 'Python' is not defined
Fix the python code above and return the new python code:
2024-10-08 17:55:43 [INFO] Executing Step 1: CodeGenerator
2024-10-08 17:56:35 [INFO] HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
2024-10-08 17:56:35 [INFO] Prompt used:
<dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,3,male,22.0,8,4,21.075,S,Third,woman,False,,Cherbourg,yes,False
0,1,female,59.0,3,2,13.0,C,Second,man,True,G,Queenstown,no,True
1,2,female,,4,6,15.2458,,First,child,False,B,,no,False
</dataframe>
The user asked the following question:
### QUERY
In the data how many sex - males are present who have class - First ?
You generated this python code:
Python
dfs[0].head()
first_class_males = dfs[0][dfs[0]['sex'] == 'male'][dfs[0]['class'] == 'First']
result_count = len(first_class_males)
result = {'type': 'number', 'value': result_count}
print(result)
It fails with the following error:
Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 1, in <module>
NameError: name 'Python' is not defined
Fix the python code above and return the new python code:
2024-10-08 17:56:35 [INFO] Code generated:
```
first_class_males = dfs[dfs['sex'] == 'male'][dfs['class'] == 'First']
result_count = len(first_class_males)
print(f'There are {result_count} sex - males present who have class - First.')
```
2024-10-08 17:56:35 [INFO] Executing Step 2: CodeCleaning
2024-10-08 17:56:35 [INFO]
Code running:
```
first_class_males = dfs[dfs['sex'] == 'male'][dfs['class'] == 'First']
result_count = len(first_class_males)
print(f'There are {result_count} sex - males present who have class - First.')
```
2024-10-08 17:56:35 [ERROR] Failed with error: Traceback (most recent call last):
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 85, in execute
result = self.execute_code(code_to_run, code_context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\prati\anaconda3\Lib\site-packages\pandasai\pipelines\chat\code_execution.py", line 171, in execute_code
exec(code, environment)
File "<string>", line 1, in <module>
TypeError: list indices must be integers or slices, not str
2024-10-08 17:56:35 [WARNING] Failed to execute code retrying with a correction framework [retry number: 2]
2024-10-08 17:56:35 [INFO] Executing Pipeline: ErrorCorrectionPipeline
2024-10-08 17:56:35 [INFO] Executing Step 0: ErrorPromptGeneration
2024-10-08 17:56:35 [INFO] Using prompt: <dataframe>
dfs[0]:891x15
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,3,male,22.0,8,4,21.075,S,Third,woman,False,,Cherbourg,yes,False
0,1,female,59.0,3,2,13.0,C,Second,man,True,G,Queenstown,no,True
1,2,female,,4,6,15.2458,,First,child,False,B,,no,False
</dataframe>
The user asked the following question:
### QUERY
In the data how many sex - males are present who have class - First ?