plotlib.py

# Longitude and latitude coordinates of the left bottom: (113.538285, 22.120002)
# Longitude and latitude coordinates of the right bottom: (113.548080, 22.120002)
# Longitude and latitude coordinates of the left top: (113.538285, 22.137862)

# import packages
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg


#Add Circles with labels
def AddLabels(circle,x,y,RGB,value):
    fig, ax = plt.subplots()
    
    ax = fig.add_subplot(111)


    circle = plt.Circle((x, y), radius=35, color=RGB)
    label = ax.annotate(value, xy=(x, y), fontsize=15, ha="center")

    ax.add_patch(circle)


    ax.axis('off')
    ax.set_aspect('equal')
    ax.autoscale_view()

AddLabels("c1",970,820,"#ffab00","2054")



# setting the Longitude and latitude coordinates
longitude_begin = 113.538285
longitude_end = 113.548080
latitude_begin = 22.120002
latitude_end = 22.137862
left_x = 0.
right_x = 1830.
top_y = 0.
bottom_y = 3606.
x_per_longitude = right_x / (longitude_end - longitude_begin)
y_per_latitude = bottom_y / (latitude_end - latitude_begin)


def convert_coordinates(longitude, latitude):
    x = (longitude - longitude_begin) * x_per_longitude
    y = bottom_y - ((latitude - latitude_begin) * y_per_latitude)
    return x, y
    

def plot_um_map():

    # read and plot um's map
    img = mpimg.imread('ummap.jpeg')
    plt.imshow(img)
    ylen, xlen, _ = img.shape
    
    # change x ticks
    x_ticks = np.linspace(0, xlen, 3)
    x_labels = np.linspace(longitude_begin, longitude_end, 3)
    

    # change y ticks
    y_ticks = np.linspace(0, ylen, 5)
    y_labels = np.linspace(latitude_end, latitude_begin, 5)
    
    

def scatter_on_ummap(longitudes, latitudes, connectivity=None, **kwargs):
    xs, ys = convert_coordinates(longitudes, latitudes)
    plt.scatter(xs, ys, c=connectivity, cmap="autumn",**kwargs,)

def arrow_on_ummap(x, y):
    x, y = convert_coordinates(x, y)
    plt.quiver(x[:-1], y[:-1], x[1:]-x[:-1], y[1:]-y[:-1], scale_units='xy', angles='xy', scale=1)

if __name__ == "__main__":
    plot_um_map()
    scatter_on_ummap(113.546534, 22.132590)
    plt.show()