Line plot/chart is a type of plot which displays information as a series of data points called “markers” connected by straight lines. in this type of plot, we need the measurement points to be ordered. this type of plot is often used to visualize a trend in data over intervals of time.
To make a line plot with matplotlib, we call plt.plpt(). the first argument is used for the data on the horizontal axis and the second is used for the data on the vertical axis. this function generates your plot but it doesn’t display it. To display the plot, we need to call the plt.show() function.
In order to draw a line plot, the steps to be followed as under:
1. importing matplotlib
2. pltplot(x,y,color,others) plot y versus x as lines and /or markers
3. plt.xlabel(“text”) set the x-axis label of the current axes.
4. plt.ylabel(text) set the y-axes label of the current axes.
5. plt.set_title(“title”) set a title of the current axes
6. plt.show() display a figure.
#Importing pyplot from matplotlib import pyplot as plt #Plotting to our canvas plt.plot([1,2,3],[4,5,1]) #Showing what we plotted plt.show()
from matplotlib import pyplot as plt x = [5,8,10] y = [12,16,6] plt.plot(x,y) plt.title('Example Line Plot') plt.ylabel('Y axis') plt.xlabel('X axis') plt.show()
from matplotlib import pyplot as plt from matplotlib import style style.use('ggplot') x = [5,8,10] y = [12,16,6] x2 = [6,9,11] y2 = [6,15,7] # can plot specifically, after just showing the defaults: plt.plot(x,y,linewidth=5) plt.plot(x2,y2,linewidth=5) plt.title('Example Line Plot') plt.ylabel('Y axis') plt.xlabel('X axis') plt.show()