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A couple notes on the hello world usage #208
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@@ -107,9 +107,9 @@ TimeCopilot is available on PyPI as [`timecopilot`](https://pypi.org/project/tim | |
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| and that's it! | ||
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| !!! Important | ||
| - TimeCopilot requires Python 3.10+. Additionally, it currently does not support macOS running on Intel processors (x86_64). If you’re using this setup, you may encounter installation issues with some dependencies like PyTorch. If you need support for this architecture, please create a new issue. | ||
| - If on Windows, Python 3.10 is recommended due to some of the packages' current architecture. | ||
| **Important !!!** | ||
| - TimeCopilot requires Python 3.10+. Additionally, it currently does not support macOS running on Intel processors (x86_64). If you’re using this setup, you may encounter installation issues with some dependencies like PyTorch. If you need support for this architecture, please create a new issue. | ||
| - If on Windows, Python 3.10 is recommended due to some of the packages' current architecture. | ||
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| --- | ||
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@@ -122,6 +122,9 @@ Here is an example to test TimeCopilot: | |
| import pandas as pd | ||
| from timecopilot import TimeCopilot | ||
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| # Use the following line if using a jupyter notebook environment!!!! | ||
| nest_asyncio.apply() | ||
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Owner
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. very cool! There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I guess we need |
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| # Load the dataset | ||
| # The DataFrame must include at least the following columns: | ||
| # - unique_id: Unique identifier for each time series (string) | ||
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@@ -159,6 +162,23 @@ result = tc.forecast(df=df, freq="MS") | |
| # - forecast_analysis: Interpretation of the forecast results | ||
| # - user_query_response: Response to the user prompt, if any | ||
| print(result.output) | ||
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| # You can also access the forecast results in the same shape of the | ||
| # provided input dataframe. | ||
| print(result.fcst_df) | ||
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| """ | ||
| unique_id ds Theta | ||
| 0 AirPassengers 1961-01-01 440.969208 | ||
| 1 AirPassengers 1961-02-01 429.249237 | ||
| 2 AirPassengers 1961-03-01 490.693176 | ||
| ... | ||
| 21 AirPassengers 1962-10-01 472.164032 | ||
| 22 AirPassengers 1962-11-01 411.458160 | ||
| 23 AirPassengers 1962-12-01 462.795227 | ||
| """ | ||
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| ``` | ||
| ``` | ||
| <details> <summary>Click to expand the full forecast output</summary> | ||
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yeah, this line will break in our docs at timecopilot.dev since we’re using mkdocs-material admonitions. i think we can skip this change from this pr and handle it separately if needed :)