![]() ![]() ![]() The coordinates of the previous example are in data coordinates, but the annotate function. Here we iterate the tickers list and the axes lists at the same time using Python’s zip function and using ax.ravel () to flatten the original list of lists. format(x) return s ax.t_major_formatter(number_formatter) ax.t_major_formatter(number_formatter) #set chart source and copyright plt.annotate( 'Source: UNHCR Refugee Data Finder', ( 0, 0), ( 0, - 40), xycoords = 'axes fraction', textcoords = 'offset points', va = 'top', color = '#666666', fontsize = 9) plt.annotate( '©UNHCR, The UN Refugee Agency', ( 0, 0), ( 0, - 50), xycoords = 'axes fraction', textcoords = 'offset points', va = 'top', color = '#666666', fontsize = 9) #adjust chart margin and layout fig.tight_layout() #show chart plt. In order to add text annotations to a matplotlib chart you will need to set at least, the text, the coordinates of the plot to be highlighted with an arrow ( xy ), the coordinates of the text ( xytext) and the properties of the arrow ( arrowprops ). Method 1: ravel () As the subplots are returned as a list of list, one simple method is to ‘flatten’ the nested list into a single list using NumPy’s ravel () (or flatten ()) method. ![]() Plotting live data with Matplotlib Using (), It is used to update a figure that has been changed. With the help of () function we can update the plot on the same figure during the loop. The following sorts of loops are available in the Python programming. plt.show() starts an event loop, looks for all currently active figure. suptitle Add a centered title to the gure. subplots Create a gure with a set of subplots already made. subplottool Launch a subplot tool window for a gure. # import libraries import matplotlib.pyplot as plt import pandas as pd () #load data set df = pd.read_csv( '') #compute data array for plotting x = df y = df label = df #plot the chart fig, ax = plt.subplots() ax.scatter(x, y, s = 30) # Loop for annotation of all points for i in range( len(x)): plt.annotate(label, (x, y), textcoords = "offset points", xytext =( 0, 5), ha = 'left') #set chart title ax.set_title( 'Comparison of refugee and IDP population by region | 2021') #set axis label ax.set_xlabel( 'Number of refugees (millions)') ax.set_ylabel( 'Number of IDPs (millions)') #format axis tick labels def number_formatter(x, pos): if x >= 1e6: s = ' '. Courses Practice We can use matplotlib to Plot live data with Matplotlib. We can run a single statement or set of statements repeatedly using a loop command. If you are using Matplotlib from within a script, the function plt.show() is your friend. subplot Return a subplot axes positioned by the given grid denition. ![]()
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