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Altair  Declarative statistical visualization library for Python.
Bokeh  Interactive Web Plotting for Python.
bqplot  Interactive Plotting Library for the Jupyter Notebook.
Cartopy  A cartographic Python library with matplotlib support.
PyQtGraph  Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
diagrams  Diagram as Code.
Matplotlib  A Python 2D plotting library.
plotnine  A grammar of graphics for Python based on ggplot2.
Seaborn  Statistical data visualization using Matplotlib.
VisPy  Highperformance scientific visualization based on OpenGL.
![Matplotlib_25_1](https://github.com/mritunjaysri28/Matplotlib/assets/25318797/06a2a78facb74a3eb3c2c16d360af70f) ## 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('XAxis') ax.set_ylabel('YAxis') plt.legend()
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