75 lines
2.3 KiB
Plaintext
75 lines
2.3 KiB
Plaintext
Metadata-Version: 2.4
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Name: matplotlib-inline
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Version: 0.2.1
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Summary: Inline Matplotlib backend for Jupyter
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Keywords: ipython,jupyter,matplotlib,python
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Author-email: IPython Development Team <ipython-dev@python.org>
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Requires-Python: >=3.9
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Description-Content-Type: text/markdown
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Framework :: IPython
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Classifier: Framework :: Jupyter :: JupyterLab :: 3
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Classifier: Framework :: Jupyter :: JupyterLab :: 4
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Classifier: Framework :: Jupyter :: JupyterLab
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Classifier: Framework :: Jupyter
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Science/Research
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.12
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Classifier: Programming Language :: Python :: 3.13
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Classifier: Programming Language :: Python :: 3.14
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python
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Classifier: Topic :: Multimedia :: Graphics
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License-File: LICENSE
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Requires-Dist: traitlets
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Requires-Dist: flake8 ; extra == "test"
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Requires-Dist: nbdime ; extra == "test"
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Requires-Dist: nbval ; extra == "test"
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Requires-Dist: notebook ; extra == "test"
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Requires-Dist: pytest ; extra == "test"
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Project-URL: Homepage, https://github.com/ipython/matplotlib-inline
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Provides-Extra: test
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# Matplotlib Inline Back-end for IPython and Jupyter
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This package provides support for matplotlib to display figures directly inline in the Jupyter notebook and related clients, as shown below.
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## Installation
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With conda:
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```bash
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conda install -c conda-forge matplotlib-inline
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```
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With pip:
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```bash
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pip install matplotlib-inline
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```
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## Usage
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Note that in current versions of JupyterLab and Jupyter Notebook, the explicit use of the `%matplotlib inline` directive is not needed anymore, though other third-party clients may still require it.
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This will produce a figure immediately below:
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```python
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%matplotlib inline
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import matplotlib.pyplot as plt
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import numpy as np
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x = np.linspace(0, 3*np.pi, 500)
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plt.plot(x, np.sin(x**2))
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plt.title('A simple chirp');
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```
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## License
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Licensed under the terms of the BSD 3-Clause License, by the IPython Development Team (see `LICENSE` file).
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