Matplotlib can be used to plot various type of plots. In this article we will look ta various parameters that can be used to display required information, adjust scale, adding labels etc.
Different type of plots can be plotted using following primary commands
plt.plot(x,y,color='green',alpha=0.5,) 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.scatter(x,y,marker='s',color='green', edgecolors='red',alpha=0.7,) plt.pie(payment_method_freqs,autopct="%0.1f%%")
To add various point, we can use various options, most commonly used options are as below:
| ################################################################################################ | |
| # name: lineplot_01_plot_char.py | |
| # desc: various parameters | |
| # date: 2018-12-24 | |
| # Author: conquistadorjd | |
| ################################################################################################################### | |
| # version control | |
| # 2018-12-24 : First version created in python3.6 | |
| ################################################################################################################### | |
| from matplotlib import pyplot as plt | |
| import numpy as np | |
| x= np.array([1,2,3,4,5,6,7,8,9,10]) | |
| y= np.array([1,2,4,9,15,18,22,29,39,50]) | |
| #plt.scatter(x,y) | |
| plt.plot(x,y,color='green',alpha=0.5,label="test graph") | |
| plt.legend(loc=2) | |
| plt.title('linear graph') | |
| plt.xlabel('Sample x Axis') | |
| plt.ylabel('Sample y Axis') | |
| plt.xlim( 1, 20 ) # set the xlim to xmin, xmax | |
| plt.ylim( 1, 20 ) # set the ylim to ymin, ymax | |
| plt.yticks( [5,15,20] ) | |
| plt.xticks( [5,7,15,20,25], ('Tom', 'Dick', 'Harry', 'Sally', 'Sue') ) | |
| plt.yscale('linear') # The available scales are: ‘linear’ | ‘log’ | ‘logit’ | ‘symlog’ | |
| plt.xscale('linear') # The available scales are: ‘linear’ | ‘log’ | ‘logit’ | ‘symlog’ | |
| plt.hlines(y=15, xmin=1, xmax=15,linewidth=0.5, color='g') | |
| plt.vlines(x=10, ymin=1, ymax=15,linewidth=0.5, color='g') | |
| plt.grid(color='g', linestyle='–', linewidth=0.5,markevery=int) | |
| # plt.fill_betweenx(y, x1, x2=0, where=None, step=None, hold=None, data=None, **kwargs) | |
| # Adding a point on graph | |
| x1=[5,15.5] | |
| y1=[5,15.5] | |
| plt.scatter(x1,y1,color='red') | |
| plt.show() |
and here is the output