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Copy file name to clipboardExpand all lines: docs/source/FAQ.rst
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@@ -95,7 +95,7 @@ However, for some editors there are special settings that can be adjusted to imp
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To print a snapshot of the current state of a figure to the IPython terminal, call :py:meth:`Maps.show` or :py:meth:`Maps.snapshot`.
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- Similar to Jupyter Notebooks, you can use *"magic"* commands to set the used matpltolib backend.
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- Similar to Jupyter Notebooks, you can use *"magic"* commands to set the used matplotlib backend.
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- For interactive (popup) figures, switch to the default Qt backend using ``%matplotlib qt``
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- For interactive (inline) figures, you'll need to install `ipympl <https://github.com/matplotlib/ipympl>`_ and then activate the ``widget`` with ``%matplotlib widget``.
Copy file name to clipboardExpand all lines: docs/source/user_guide/how_to_use/api_data_visualization.rst
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Uniform colors
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To apply a uniform color to all datapoints, you can use `matpltolib's named colors <https://matplotlib.org/stable/gallery/color/named_colors.html>`_ or pass an RGB or RGBA tuple.
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To apply a uniform color to all datapoints, you can use `matplotlib's named colors <https://matplotlib.org/stable/gallery/color/named_colors.html>`_ or pass an RGB or RGBA tuple.
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