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‎00_Getting_started.ipynb‎

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"source": [
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"# Prerequisites\n",
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"\n",
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"https://github.com/timhoffm/euroscipy2019-using-matplotlib\n",
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"https://github.com/timhoffm/using-matplotlib\n",
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"\n",
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"### Environment\n",
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"\n",
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"\n",
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"or\n",
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"\n",
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"`conda env create -n using-mpl matplotlib>=3 jupyterlab pandas`"
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"`conda env create -n using-mpl matplotlib ipympl jupyterlab pandas`"
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]
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},
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{
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"source": [
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"# A Bit of History\n",
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"\n",
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"https://matplotlib.org/users/history.html\n",
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"https://matplotlib.org/stable/users/history.html\n",
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"\n",
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"John D. Hunter first released Matplotlib in 2001."
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]
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"source": [
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"Most of the plotting and configuration is performed using Axes methods.\n",
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"\n",
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"See https://matplotlib.org/api/axes_api.html"
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"See https://matplotlib.org/stable/api/axes_api.html"
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]
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},
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{
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"metadata": {
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"celltoolbar": "Slideshow",
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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"version": "3.10.4"
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}
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},
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"nbformat": 4,

‎01_Interfaces.ipynb‎

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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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"version": "3.10.4"
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}
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},
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"nbformat": 4,

‎02_Figure.ipynb‎

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"`plt.subplots(N, M)` suits your needs when all created axes are on a regular grid and should have the same size.\n",
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"\n",
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"For more complicated layouts use [GridSpec](`https://matplotlib.org/tutorials/intermediate/gridspec.html), or manually place an axes at desired positions using [Figure.add_axes](https://matplotlib.org/api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.add_axes)."
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"For more complicated layouts use [GridSpec](`https://matplotlib.org/stable/tutorials/intermediate/gridspec.html), or manually place an axes at desired positions using [Figure.add_axes](https://matplotlib.org/stable/api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.add_axes)."
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]
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},
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{
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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"version": "3.10.4"
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}
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},
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"nbformat": 4,

‎03_adding_content.ipynb‎

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"fmt = '[marker][line][color]'\n",
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"~~~\n",
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"\n",
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"https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.plot.html (scroll down)"
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"https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html (scroll down)"
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]
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},
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{
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"\n",
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"There are various ways to specify colors:\n",
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"\n",
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"https://matplotlib.org/api/colors_api.html?highlight=colors#module-matplotlib.colors\n",
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"https://matplotlib.org/stable/tutorials/colors/colors.html\n",
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"\n",
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"https://matplotlib.org/devdocs/gallery/color/named_colors.html#sphx-glr-gallery-color-named-colors-py"
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"https://matplotlib.org/stable/gallery/color/named_colors.html"
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]
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},
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{
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"\n",
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"Often you don't need it. But it's good to know, and sometimes handy.\n",
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"\n",
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"The returned objects are Artists that define elements in the plot such as lines, etc. See the [Returns section in the docs](https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.plot.html) for details."
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"The returned objects are Artists that define elements in the plot such as lines, etc. See the [Returns section in the docs](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html) for details."
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]
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{
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"source": [
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"## Other plotting functions\n",
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"\n",
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"See https://matplotlib.org/api/axes_api.html"
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"See\n",
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"\n",
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"- https://matplotlib.org/stable/plot_types/index.html\n",
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"- https://matplotlib.org/stable/api/axes_api.html"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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"version": "3.10.4"
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}
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},
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"nbformat": 4,

‎04_Configuration and Styles.ipynb‎

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"\n",
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"Style sheets are predefined sets of rcParams.\n",
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"\n",
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"https://matplotlib.org/devdocs/tutorials/introductory/customizing.html\n",
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"https://matplotlib.org/stable/tutorials/introductory/customizing.html\n",
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"\n",
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"https://matplotlib.org/devdocs/gallery/style_sheets/style_sheets_reference.html"
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"https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.html"
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]
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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"version": "3.10.4"
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}
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},
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"nbformat": 4,

‎05_Libraries_using_Matplotlib.ipynb‎

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"## Write your own wrapper function\n",
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"Example: https://matplotlib.org/gallery/lines_bars_and_markers/horizontal_barchart_distribution.html"
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"Example: https://matplotlib.org/stable/gallery/lines_bars_and_markers/horizontal_barchart_distribution.html"
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"display_name": "Python 3 (ipykernel)",
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"name": "python",
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"nbconvert_exporter": "python",
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"version": "3.10.4"
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}
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"nbformat": 4,

‎06_Animations.ipynb‎

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"metadata": {
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"display_name": "Python 3 (ipykernel)",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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"version": "3.10.4"
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"nbformat": 4,

‎environment.yml‎

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name: using-matplotlib
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dependencies:
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- python>=3.6
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- matplotlib>=3
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- python
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- matplotlib
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- ipympl
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- pandas
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- jupyterlab
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‎requirements.txt‎

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matplotlib>3
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matplotlib
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ipympl
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pandas
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jupyterlab

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