howeverthis is not visually appealing because there is no space anymore between the barswhich makes it look clumsy each bar now occupies one unit on the -axis multiple bar charts in trying to visualize datastacking number of bars enables one to further understand how one piece of data or variable varies with anotherdata [ ][ ]import numpy as np x_values np arange( plt bar(x_values data[ ]color=' 'width= plt bar(x_values data[ ]color=' 'width= plt show(the values for the first batch of data are [ the second batch is [ when the bars are plotted and will occupy the same positionside by side x_values np arange( generates the array with values [ the first set of bars are drawn first at position x_values thusthe first values will be plotted at and the second batch of x_values will be plotted at and