![]() ![]() ![]() 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. It needs two arrays of the same length, one for the values of the x-axis. The scatter() function plots one dot for each observation. With Pyplot, you can use the scatter() function to draw a scatter plot. Example: import matplotlib. With Pyplot, you can use the scatter() function to draw a scatter plot. ![]() ax.tmajorformatter(myFmt) This applies the date format that you defined above to. A simple scatter plot can be created by defining an axes objectvia the axes()function from Matplotlib and then using its. Then you call the format that you defined using the setmajorformatter() method. Here you can customize the date to look like whatever format you want. # 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 = ' '. Labelling x, y-Axis Syntax: for x-axis txlabel (self, xlabel, fontdictNone, labelpadNone, \\kwargs) for y-axis tylabel (self, ylabel, fontdictNone, labelpadNone, \\kwargs) These functions are used to name the x-axis and y-axis. This a date format that is month/day so it will look like this: 10/05 which represents October 5th. ![]()
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