How to insert scale bar in a map in matplotlib

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生来不讨喜
生来不讨喜 2020-12-16 13:02

Any ideas on how can I insert a scale bar in a map in matplotlib that shows the length scale? something like the one I have attached.

Or maybe any ideas on measuring

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  • 2020-12-16 13:34

    There is a an already existing class for scalebars in matplotlib called AnchoredSizeBar. In the below example AnchoredSizeBar is used to add a scalebar to an image (or map over a 100x100 meter area of randomness).

    import numpy as np
    import matplotlib.pyplot as plt
    from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
    import matplotlib.font_manager as fm
    fontprops = fm.FontProperties(size=18)
    fig, ax = plt.subplots()
    ax.imshow(np.random.random((10,10)),extent=[0,100,0,100]) 
    

    Extent defines the images max and min of the horizontal and vertical values.

    scalebar = AnchoredSizeBar(ax.transData,
                               20, '20 m', 'lower center', 
                               pad=0.1,
                               color='white',
                               frameon=False,
                               size_vertical=1,
                               fontproperties=fontprops)
    
    ax.add_artist(scalebar)
    

    The four first arguments to AnchoredSizeBar are the transformation object of the coordinate system, scalebar length, label and location. Further optional arguments change the layout. These are explained in the documentation.

    ax.set_yticks([])
    ax.set_xticks([])
    

    This gives Scalebar on an image / a map over a 100x100 meter area of random

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  • 2020-12-16 13:42

    I would try the matplotlib-scalebar package. (For something like your example c.)

    Assuming you are plotting a map image with imshow or similar, and you know the pixel width/cell-size (the real-world equivalent size of one pixel on the map image), you can automatically create the scale bar:

    This example is straight off the PyPi matplotlib-scalebar package page but here it is for completeness:

    import matplotlib.pyplot as plt
    import matplotlib.cbook as cbook
    from matplotlib_scalebar.scalebar import ScaleBar
    
    plt.figure()
    image = plt.imread(cbook.get_sample_data('grace_hopper.png'))
    plt.imshow(image)
    scalebar = ScaleBar(0.2) # 1 pixel = 0.2 meter
    plt.gca().add_artist(scalebar)
    plt.show()
    

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