pip install matplotlibimport matplotlib.pyplot as pltplt.plot(*args, scalex=True, scaley=True, data=None, **kwargs)
Ploting x, y, Labeling, Title, Legend:
ages_x = [18, 19, 20, 21, 22, 23]
py_dev_y = [20046, 17100, 20000, 24744, 30500, 37732]
plt.plot(ages_x, py_dev_y, label='Python')
js_dev_y = [16446, 16791, 18942, 21780, 25704, 29000]
plt.plot(ages_x, js_dev_y, label='JavaScript')
dev_y = [17784, 16500, 18012, 20628, 25206, 30252]
plt.plot(ages_x, dev_y, color='#444444', linestyle='--', label='All Devs')
plt.xlabel('Ages')
plt.ylabel('Median Salary (USD)')
plt.title('Median Salary (USD) by Age')
plt.legend()
plt.grid()
plt.show()
plt.bar(x, height, width=0.8, bottom=None, align='center', data=None, **kwargs)
- x, location of the bar in the x-axis
- height: height of the bar
- width: width of the bar
labels = ['G1', 'G2', 'G3', 'G4', 'G5']
men = [20, 34, 30, 35, 27]
women= [25, 32, 34, 20, 25]
x_index = np.arange(len(labels)) #create equal x-axis indexes
width = 0.35
plt.bar(x_index - width/2, men, width = width, label= 'Men')
plt.bar(x_index + width/2, women, width = width, label= 'Women')
plt.xlabel('Groups')
plt.ylabel('Count')
plt.title('Number of men and women in group')
plt.legend()
plt.xticks(ticks = x_index, labels = labels) # label the indexes
plt.show()
The same with bar horizontal:
labels = ['G1', 'G2', 'G3', 'G4', 'G5']
men = [20, 34, 30, 35, 27]
women= [25, 32, 34, 20, 25]
y_index = np.arange(len(labels))
height = 0.35
plt.barh(y_index - height/2, men, height = height, label= 'Men')
plt.barh(y_index + height/2, women,height = height, label= 'Women')
plt.xlabel('Groups')
plt.ylabel('Count')
plt.title('Number of men and women in group')
plt.legend()
plt.yticks(ticks = y_index, labels = labels)
plt.show()