Matplotlib can be used to draw simple as well as complex bar plots. In this article we will see how to draw bar plots along with available options.
Here is an example of simple bar plot with available options.
| ################################################################################################ | |
| # name: barplot-03.py | |
| # desc: Simple bar plot with options | |
| # date: 2018-07-02 | |
| # Author: conquistadorjd | |
| # Documentation : https://matplotlib.org/api/_as_gen/matplotlib.pyplot.bar.html#matplotlib.pyplot.bar | |
| ################################################################################################ | |
| from matplotlib import pyplot as plt | |
| import numpy as np | |
| print('*** Program Started ***') | |
| drinks = ["cappuccino", "latte", "chai", "americano", "mocha", "espresso"] | |
| sales = [71, 91, 56, 66, 52, 27] | |
| salesyerr = [5, 5, 5, 5, 5, 5] | |
| # This is with mandatory fields | |
| # plt.bar(np.arange(len(drinks)), sales) | |
| # This is with multiple options | |
| plt.bar(np.arange(len(drinks)), sales, width=0.5, yerr=salesyerr, label="Jagur", color='r',edgecolor='b', fill=True, hatch='*',linestyle='–',align='center') | |
| plt.xlabel('Sample x Axis') | |
| plt.ylabel('Sample y Axis') | |
| plt.title('This is bar plot using matplotlib') | |
| # plt.legend(drinks) | |
| plt.legend(loc=2) | |
| # Saving image | |
| plt.savefig('barplot-03.png') | |
| # In case you dont want to save image but just displya it | |
| plt.show() | |
| print('*** Program ended ***') |
Output of this script
Horizontal Bar plot
| ################################################################################################ | |
| # name: barplot-04.py | |
| # desc: Simple bar plot with options – horizontal bar | |
| # date: 2018-07-02 | |
| # Author: conquistadorjd | |
| ################################################################################################ | |
| from matplotlib import pyplot as plt | |
| import numpy as np | |
| print('*** Program Started ***') | |
| drinks = ["cappuccino", "latte", "chai", "americano", "mocha", "espresso"] | |
| sales = [71, 91, 56, 66, 52, 27] | |
| plt.barh(np.arange(len(drinks)), sales,label="Jagur", color='b',edgecolor='b') | |
| plt.xlabel('Sample x Axis') | |
| plt.ylabel('Sample y Axis') | |
| plt.title('This is bar plot using matplotlib') | |
| # plt.legend(drinks) | |
| plt.legend(loc=2) | |
| # Saving image | |
| plt.savefig('barplot-04.png') | |
| # In case you dont want to save image but just displya it | |
| plt.show() | |
| print('*** Program ended ***') |
Output
Stacked bar plot
| ################################################################################################ | |
| # name: barplot-05.py | |
| # desc: stacked bar plot | |
| # date: 2018-07-02 | |
| # Author: conquistadorjd | |
| ################################################################################################ | |
| from matplotlib import pyplot as plt | |
| import numpy as np | |
| print('*** Program Started ***') | |
| drinks = ["cappuccino", "latte", "chai", "americano", "mocha", "espresso"] | |
| sales = [71, 91, 56, 66, 52, 27] | |
| inquiry = [60, 50, 70, 66, 52, 27] | |
| salesyerr = [5, 5, 5, 5, 5, 5] | |
| inquiryerr = [5, 5, 5, 5, 5, 5] | |
| plt.bar(np.arange(len(drinks)), sales,width=0.5,label="Jagur", color='r',edgecolor='r',yerr=salesyerr) | |
| plt.bar(np.arange(len(drinks)), inquiry,bottom=sales,width=0.5,label="Range Rover", color='b',edgecolor='b',yerr=inquiryerr) | |
| plt.xlabel('Sample x Axis') | |
| plt.ylabel('Sample y Axis') | |
| plt.title('This is bar plot using matplotlib') | |
| # plt.legend(drinks) | |
| plt.legend(loc=2) | |
| # Saving image | |
| plt.savefig('barplot-05.png') | |
| # In case you dont want to save image but just displya it | |
| plt.show() | |
| print('*** Program ended ***') |
Output
bar plot with multiple data series
| ################################################################################################ | |
| # name: barplot-06.py | |
| # desc: stacked bar plot | |
| # date: 2018-07-02 | |
| # Author: conquistadorjd | |
| ################################################################################################ | |
| from matplotlib import pyplot as plt | |
| import numpy as np | |
| print('*** Program Started ***') | |
| drinks = ["cappuccino", "latte", "chai", "americano", "mocha", "espresso"] | |
| jagur = [71, 91, 56, 66, 52, 95] | |
| rangerover = [60, 50, 70, 85, 69, 27] | |
| jaguryerr = [5, 5, 5, 5, 5, 5] | |
| rangerovererr = [5, 5, 5, 5, 5, 5] | |
| width = 0.25 | |
| ## simple way of doing this | |
| # plt.bar(np.arange(len(drinks)), jagur,+width,align='edge',label="Jagur", color='r',edgecolor='r',yerr=jaguryerr) | |
| # plt.bar(np.arange(len(drinks)), rangerover,-width ,align='edge',label="Range Rover", color='b',edgecolor='b',yerr=rangerovererr) | |
| ### Another way of doing same thing | |
| plt.bar(np.arange(len(drinks)), jagur,width,align='edge',label="Jagur", color='r',edgecolor='r',yerr=jaguryerr) | |
| plt.bar(np.arange(len(drinks))+width, rangerover,width ,align='edge',label="Range Rover", color='b',edgecolor='b',yerr=rangerovererr) | |
| plt.bar(np.arange(len(drinks))+width+width, rangerover,width ,align='edge',label="Land Rover", color='c',edgecolor='c',yerr=rangerovererr) | |
| print(type(np.arange(len(drinks)))) | |
| print(type(range(len(drinks)))) | |
| plt.xlabel('Sample x Axis') | |
| plt.ylabel('Sample y Axis') | |
| plt.title('Monthly sales of cars') | |
| # plt.legend(drinks) | |
| plt.legend(loc=2) | |
| # Saving image | |
| plt.savefig('barplot-06.png') | |
| # In case you dont want to save image but just displya it | |
| plt.show() | |
| print('*** Program ended ***') |
Output
