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Import plot function in get-started guide #18

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Aug 11, 2024
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4 changes: 2 additions & 2 deletions CONTRIBUTING.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ Thank you for considering contributing to this project! Here are some guidelines

## How can I contribute to this project?
### Reporting Bugs
If you find a bug, please report it by opening an issue in the issue tracker. Provide as much detail as possible to help us understand and reproduce the issue:
If you find a bug, please report it by opening an issue in the Github issue tracker. Provide as much detail as possible to help us understand and reproduce the issue:
- A clear and descriptive title.
- A detailed description of the problem.
- Steps to reproduce the issue.
Expand All @@ -28,7 +28,7 @@ Pull requests are welcome! If you plan to make significant changes, please open
- Open a pull request in the original repository.

## Development
Here are the basic commands you can use to develop this package.
Important commands and major dependencies are managed in Pipenv. Here are the basic commands you can use to develop this package.

### Install Pipenv
If you don't have `pipenv` installed, you can install it using `pip`:
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2 changes: 2 additions & 0 deletions docs/source/get_started.rst
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Expand Up @@ -55,6 +55,8 @@ Then, let's build an empirical cumulative distribution function (CDF).
.. code-block:: python
import dte_adj
from dte_adj.plot import plot
estimator = dte_adj.SimpleDistributionEstimator()
estimator.fit(X, D, Y)
cdf = estimator.predict(D, Y)
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