Output: python datapoints_labels_on_line_graph.pyĤ. And at last, we plot the graph which is shown below.
#LABEL POINTS SCATTER PLOT MATPLOTLIB PROFESSIONAL#
The arrowprops is another parameter that is used for the graph to show a more professional way.
xytext is for the distance between the points and the label. Line 21 to 29: We pass all the required parameters into the annotate function, which is the, (x, y). Line 19: We are formatting the value of y.Īfter the format, the value of y is 2.069 (rounded to 3 decimal points) The mec (markeredgecolor) is a colour that comes outside of the data point. Line 14: We pass the parameter marker=’D’, mfc (markerfacecolor) green colour, mec (markeredgecolor) yellow, and ms (markersize). Xytext = ( 0, 10 ), # this for the distance between the pointsĪrrowprops = dict (arrowstyle = "->", color = 'green' ) ) (x ,y ), # x and y is the points location where we have to label annotate (label, # this is the value which we want to label (text) plot (x_values ,y_values ,marker = 'D', mfc = 'green', mec = 'yellow' ,ms = '7' ) normal (loc = 2, scale = 0.2, size = 10 ) # import the clf () method to draw another graph on the same graph window Text annotation is another function in the matplotlib that helps to annotate the data points. Line 13 to 19: We set the label names along the x-axis, y-axis, and the chart’s title name.ģ. There is a number of markers available to support.
The marker will be used to display the data points on the graph. Line 11: We pass those X and Y parameters to the plot function and add one more parameter in the plot function marker. The list numberoftemp represents the X-axis and the list year represents the Y-axis. Line 4 to 8: We import the required library and create two lists for X and Y. title ( "Number of Employee V/s Year Growth" ) But this time, we mentioned their horizontalalignment=’right’, so the text endpoint is (6, 2). In the next line, we add another text whose starting point is x=6 and y=2. By default, the text will be left-aligned so that the above text starts from the point (1, 3). So we first add the text, which starts from x=1,y=3 (1, 3). Line 15 to 20: Our graph is now ready and has to add some text.
Line 12: We pass those created random x and y values into the plot function to draw the graph. Line 7 to 11: We just created some random values for the x_values and y_values. It will not close the window of the graph so that two different items we can draw on the same graph. This function helps to draw something on the previous graph itself. Line 2 to 3: We import all the necessary packages for this program. text ( 6, 2, 'This text ends at x=6 and y=2' ,horizontalalignment = 'right' ) text ( 1, 3, 'This text starts at x=1 and y=3' ) Import matplotlib.pyplot as plt import numpy as np a = np.array(, ]) categories = np.array() colormap = np.array() plt.scatter(a, a, s=100, c=colormap) plt.savefig('ScatterClassPlot.png') plt.show() Scatter plot with custom colors
#LABEL POINTS SCATTER PLOT MATPLOTLIB HOW TO#
Import matplotlib.pyplot as plt x = y = plt.scatter(x, y, c='coral') x = y = plt.scatter(x, y, c='lightblue') plt.title('Nuage de points avec Matplotlib') plt.xlabel('x') plt.ylabel('y') plt.savefig('ScatterPlot_05.png') plt.show() Scatter plots with several colors using a colormapĮxample of how to associate a color to a given number or class ( source): How to create a scatter plot with several colors in matplotlib ? First simple example that combine two scatter plots with different colors: To change the color of a scatter point in matplotlib, there is the option "c" in the function scatter.
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