3.2 Line Chart

A line chart or line graph is a type of chart that displays information as a series of data points called ‘markers’ connected by straight line segments. It is a basic type of chart common in many fields.

What to learn:

Add multiple lines on one figure
Set x-label name and y-label
Set title name
Set and show legend

x = np.linspace(0, 3, 100)
plt.plot(x, x, label='linear')       # Plot  'linear line' on axes.
plt.plot(x, x**2, label='quadratic') # plot 'quadratic line' on the same axes
plt.plot(x, x**3, label='cubic')     #etc
plt.xlabel('this is x label')                      # set the xlabel
plt.ylabel('this is y label')                      # set the ylabel
plt.title('Multi-lines in one figure')             # set the title
plt.legend()                         # show legend

What to learn:

change width of a line
change color of a line
add markers on a line
add annotation on line
change location of the legend

x = np.arange(1,11)
y1 = np.random.random(10)
y2 = np.random.random(10)

# plot line 1
plt.plot(x, y1,linewidth =5, color = 'c', label = 'line')
# plot line 2
plt.plot(x, y2, marker = 'o',color = 'orange',label = 'line + marker')

# add annotation for line 2
for i in range(len(x)):
    xi = "{:.1f}".format(x[i])
    yi = "{:.1f}".format(y2[i])
    s = str("P(" + str(xi) + ',' + str(yi) + ')' )
    plt.text(x[i] + 0.03, y2[i] + 0.03, s)
    
plt.legend(loc='upper right')    # set legend location
plt.title('Line and line marks') # set title name
plt.show()

What to learn:

set different type of lines ( solid, dashed, dash-dot, and dotted)

plt.plot(x, x + 1, linestyle='-',label = 'solid line')  # solid
plt.plot(x, x + 3, linestyle='--',label = 'dashed line') # dashed
plt.plot(x, x + 5 , linestyle='-.',label = 'dashdot line') # dashdot
plt.plot(x, x + 7, linestyle=':',label = 'dotted')         # dotted
plt.title('Different type of line')                       # title
plt.legend()                                             # show legend
plt.show()

If you find the font size is too small, you can customize it like this:

plt.rcParams.update({'font.size': 20}) # You can change 20 to other values

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x = np.linspace(0, 3, 100) plt.plot(x, x, label='linear') # Plot 'linear line' on axes. plt.plot(x, x**2, label='quadratic') # plot 'quadratic line' on the same axes plt.plot(x, x**3, label='cubic') #etc plt.xlabel('this is x label') # set the xlabel plt.ylabel('this is y label') # set the ylabel plt.title('Multi-lines in one figure') # set the title plt.legend() # show legend

x = np.arange(1,11) y1 = np.random.random(10) y2 = np.random.random(10) # plot line 1 plt.plot(x, y1,linewidth =5, color = 'c', label = 'line') # plot line 2 plt.plot(x, y2, marker = 'o',color = 'orange',label = 'line + marker') # add annotation for line 2 for i in range(len(x)): xi = "{:.1f}".format(x[i]) yi = "{:.1f}".format(y2[i]) s = str("P(" + str(xi) + ',' + str(yi) + ')' ) plt.text(x[i] + 0.03, y2[i] + 0.03, s) plt.legend(loc='upper right') # set legend location plt.title('Line and line marks') # set title name plt.show()

plt.plot(x, x + 1, linestyle='-',label = 'solid line') # solid plt.plot(x, x + 3, linestyle='--',label = 'dashed line') # dashed plt.plot(x, x + 5 , linestyle='-.',label = 'dashdot line') # dashdot plt.plot(x, x + 7, linestyle=':',label = 'dotted') # dotted plt.title('Different type of line') # title plt.legend() # show legend plt.show()