# M2\_UGL\_1 generated code gives error **URL:** \ **Category:** Agentic AI\ **Tags:** week-module-2, coursera-platform\ **Created:** [December 3, 2025, 9:49pm UTC](https://community.deeplearning.ai/t/m2-ugl-1-generated-code-gives-error/884422 "2025-12-03T21:49:58Z")\ **Posts on this page:** 6\ **Page:** 1
**Author:** ![xzhang14](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/xzhang14/32/127975_2.png) [@xzhang14](https://community.deeplearning.ai/u/xzhang14)\ **Post date:** [December 3, 2025, 9:49pm UTC](https://community.deeplearning.ai/t/m2-ugl-1-generated-code-gives-error/884422/1 "2025-12-03T21:49:58Z")
In this lab, at cell 9, there is a function: # Generate initial code code\_v1 = generate\_chart\_code( instruction=“Create a plot comparing Q1 coffee sales in 2024 and 2025 using the data in coffee\_sales.csv.”, model=“gpt-4o-mini”, out\_path\_v1=“chart\_v1.png” ) utils.print\_html(code\_v1, title=“LLM output with first draft code”) And LLM gives generated code: **LLM output with first draft code** ```auto import pandas as pd import matplotlib.pyplot as plt # Filter data for Q1 of 2024 and 2025 df['date'] = pd.to_datetime(df['date'] + ' ' + df['time']) df_q1 = df[(df['quarter'] == 1) & (df['year'].isin([2024, 2025]))] # Group by year and coffee name, then sum the prices sales = df_q1.groupby(['year', 'coffee_name'])['price'].sum().unstack() # Plotting sales.plot(kind='bar', figsize=(10, 6)) plt.title('Q1 Coffee Sales Comparison (2024 vs 2025)') plt.xlabel('Coffee Name') plt.ylabel('Total Sales ($)') plt.legend(title='Year') plt.xticks(rotation=45) plt.tight_layout() # Save the figure plt.savefig('chart_v1.png', dpi=300) plt.close() If you run this piece of code, it gives run time error: --> 273 res_values = op(left, right) 274 else: 275 # TODO we should handle EAs consistently and move this check before the if/else 276 # (https://github.com/pandas-dev/pandas/issues/41165) 277 # error: Argument 2 to "_bool_arith_check" has incompatible type 278 # "Union[ExtensionArray, ndarray[Any, Any]]"; expected "ndarray[Any, Any]" 279 _bool_arith_check(op, left, right) # type: ignore[arg-type] TypeError: unsupported operand type(s) for +: 'DatetimeArray' and 'str' ``` I checked and found the error is at this line: ```auto df['date'] = pd.to_datetime(df['date'] + ' ' + df['time']) The reason is that: Issue: TypeError from trying to add a pandas DatetimeArray and a string at the line df['date'] + ' ' + df['time']. Root cause: load_and_prepare_data in utils.py already converts date to datetime64, so df['date'] is not a string and cannot be concatenated with df['time']. ``` ---
**Author:** ![4eburek](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/4eburek/32/143373_2.png) [@4eburek](https://community.deeplearning.ai/u/4eburek)\ **Post date:** [December 4, 2025, 1:35am UTC](https://community.deeplearning.ai/t/m2-ugl-1-generated-code-gives-error/884422/2 "2025-12-04T01:35:41Z")
I got same error. Asked model to reflect, provided error dump. Mode came back with same code ---
**Author:** ![lrd](https://avatars.discourse-cdn.com/v4/letter/l/b5e925/32.png) [@lrd](https://community.deeplearning.ai/u/lrd)\ **Post date:** [December 4, 2025, 3:16am UTC](https://community.deeplearning.ai/t/m2-ugl-1-generated-code-gives-error/884422/3 "2025-12-04T03:16:16Z")
same issue here ---
**Author:** ![Umar\_Faran\_Mir](https://avatars.discourse-cdn.com/v4/letter/u/9fc348/32.png) [@Umar\_Faran\_Mir](https://community.deeplearning.ai/u/Umar_Faran_Mir)\ **Post date:** [December 4, 2025, 11:09am UTC](https://community.deeplearning.ai/t/m2-ugl-1-generated-code-gives-error/884422/4 "2025-12-04T11:09:10Z")
> [@xzhang14](#): > > ```auto > > import pandas as pd > import matplotlib.pyplot as plt > > # Filter data for Q1 of 2024 and 2025 > df['date'] = pd.to_datetime(df['date'] + ' ' + df['time']) > df_q1 = df[(df['quarter'] == 1) & (df['year'].isin([2024, 2025]))] > > # Group by year and coffee name, then sum the prices > sales = df_q1.groupby(['year', 'coffee_name'])['price'].sum().unstack() > > # Plotting > sales.plot(kind='bar', figsize=(10, 6)) > plt.title('Q1 Coffee Sales Comparison (2024 vs 2025)') > plt.xlabel('Coffee Name') > plt.ylabel('Total Sales ($)') > plt.legend(title='Year') > plt.xticks(rotation=45) > plt.tight_layout() > > # Save the figure > plt.savefig('chart_v1.png', dpi=300) > plt.close() > > > If you run this piece of code, it gives run time error: > --> 273 res_values = op(left, right) > 274 else: > 275 # TODO we should handle EAs consistently and move this check before the if/else > 276 # (https://github.com/pandas-dev/pandas/issues/41165) > 277 # error: Argument 2 to "_bool_arith_check" has incompatible type > 278 # "Union[ExtensionArray, ndarray[Any, Any]]"; expected "ndarray[Any, Any]" > 279 _bool_arith_check(op, left, right) # type: ignore[arg-type] > > TypeError: unsupported operand type(s) for +: 'DatetimeArray' and 'str' > > ``` I encountered the same error described above. Interestingly, when I copied the code to my local system (Python 3.13.9), it executed without issues. The root cause appears to be regional date format inconsistencies rather than a code bug. The prompt instructs the LLM to anticipate dates in (M/D/YY) format (U.S. style), but if the platform’s execution environment is outside the U.S., date conversion in utils.py follows the local format, which may differ from M/D/YY. This mismatch can cause parsing errors when pandas attempts to interpret ambiguous dates. To resolve this, change the date format in Cell 9 to match your local format, and the code will run without error. ---
**Author:** ![Umar\_Faran\_Mir](https://avatars.discourse-cdn.com/v4/letter/u/9fc348/32.png) [@Umar\_Faran\_Mir](https://community.deeplearning.ai/u/Umar_Faran_Mir)\ **Post date:** [December 4, 2025, 11:15am UTC](https://community.deeplearning.ai/t/m2-ugl-1-generated-code-gives-error/884422/5 "2025-12-04T11:15:05Z")
I asked ChatGPT to reflect on this error and it produced a relatively complex solution involving implementation of error checking in the code. While the solution worked, the LLM was unable to identify the actual reason for the error. ---
**Author:** ![xzhang14](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/xzhang14/32/127975_2.png) [@xzhang14](https://community.deeplearning.ai/u/xzhang14)\ **Post date:** [December 4, 2025, 2:07pm UTC](https://community.deeplearning.ai/t/m2-ugl-1-generated-code-gives-error/884422/6 "2025-12-04T14:07:20Z")
I modified the prompt to include an instruction on cell 9: ```auto - date (M/D/YY) (Make sure date is a string) - time (HH:MM) (Make sure time is a string) And then everything works. ```