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Altair - Declarative statistical visualization library for Python.
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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Bokeh - Interactive Web Plotting for Python.
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bqplot
Discontinued Plotting library for IPython/Jupyter notebooks [Moved to: https://github.com/bqplot/bqplot] (by bloomberg)
bqplot - Interactive Plotting Library for the Jupyter Notebook.
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Cartopy - A cartographic Python library with matplotlib support.
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PyQtGraph - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
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diagrams - Diagram as Code.
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Matplotlib - A Python 2D plotting library.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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plotnine - A grammar of graphics for Python based on ggplot2.
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Seaborn - Statistical data visualization using Matplotlib.
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VisPy - High-performance scientific visualization based on OpenGL.
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 ## Scatter Graph * It similar to a line graph * Used to show how one variable is related to another * It consists of data points, if it is linear then it is highly correlated * It only marks the data point. * Syntax: plt.scatter(x,y) ### Parameter of Scatter Graph * c: Sets color of markers. * s: Sets the size of markers. * marker: Select a marker. e.g.: circle, triangle, etc * edgecolor: Sets the color of lines on the edges of markers. ```python x=[1,4,6,8,2] y=[10,10,1,5,0] fig = plt.figure(figsize=(8,4)) ax = fig.add_subplot() ax.scatter(x , y , c='red' , s=500 , marker='*' , edgecolor='blue' , label='scatter') ax.set_title('Scatter') ax.set_xlabel('X-Axis') ax.set_ylabel('Y-Axis') plt.legend()