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Difference between revisions of "Fancy Plots using Plotly"
(Syntax highlight test) (Tag: Visual edit) |
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{{Nutshell|elegant plots for adding in to research papers.|title=}} | {{Nutshell|elegant plots for adding in to research papers.|title=}} | ||
− | * This is a collection of simple plots using the plotly library. | + | *This is a collection of simple plots using the plotly library. |
− | * It consists of elegant color schemes and easy to ready adjustable fonts. | + | *It consists of elegant color schemes and easy to ready adjustable fonts. |
− | * The reason for using plotly is that it allows for HTML plots that can be scaled and zoomed after plotting. | + | *The reason for using plotly is that it allows for HTML plots that can be scaled and zoomed after plotting. |
− | == Installation == | + | ==Installation== |
We need the [https://pypi.org/project/plotly-express/ plotly-express] library. | We need the [https://pypi.org/project/plotly-express/ plotly-express] library. | ||
− | ==== Conda ==== | + | ====Conda==== |
<syntaxhighlight lang="shell"> | <syntaxhighlight lang="shell"> | ||
conda install -c plotly plotly_express==0.4.0 | conda install -c plotly plotly_express==0.4.0 | ||
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conda install -c plotly plotly_express==0.4.0 | conda install -c plotly plotly_express==0.4.0 | ||
− | ==== Pip ==== | + | ====Pip==== |
pip install plotly_express==0.4.0 | pip install plotly_express==0.4.0 | ||
− | == Line Plots == | + | ==Line Plots== |
<syntaxhighlight lang="python3"> | <syntaxhighlight lang="python3"> | ||
# x and y given as array_like objects | # x and y given as array_like objects | ||
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</syntaxhighlight><br /> | </syntaxhighlight><br /> | ||
− | == Scatter Plots == | + | ==Scatter Plots== |
Revision as of 06:40, 18 February 2022
in a nutshell: elegant plots for adding in to research papers. |
- This is a collection of simple plots using the plotly library.
- It consists of elegant color schemes and easy to ready adjustable fonts.
- The reason for using plotly is that it allows for HTML plots that can be scaled and zoomed after plotting.
Installation
We need the plotly-express library.
Conda
conda install -c plotly plotly_express==0.4.0
conda install -c plotly plotly_express==0.4.0
Pip
pip install plotly_express==0.4.0
Line Plots
# x and y given as array_like objects import plotly.express as px fig = px.scatter(x=[0, 1, 2, 3, 4], y=[0, 1, 4, 9, 16]) fig.show()