Prerequisites: Matplotlib
In this article, we will see how to plot a dashed line in matplotlib. Matplotlib dashed line is a special styled line chart that represents the relationship between the X-axis and Y-axis with the help of linestyle – dashed, we can also set a different color for each line and different linewidth. Let us understand it with the different examples below:
To plot dashed datapoint:
Syntax: matplotlib.pyplot.plot(x, y, linestyle=’dashed’)
- x: X-axis points on the line.
- y: Y-axis points on the line.
- linestyle: Change the style of the line.
- linewidth: set width of a dash line.
Example 1: Plotting a dashed line in matplotlib
To plot the dashed line we will create the dataset and then we use the above syntax to plot dashed datapoints.
Syntax: plt.plot(linestyle=’dashed’)
Python3
# Import librariesimport matplotlib.pyplot as plt# Define Axesx_points = [1.5, 2.6, 3.5, 4, 9]y_points = [3.25, 6.3, 4.23, 1.35, 3]# Plot a graphplt.plot(x_points, y_points, linestyle='dashed')# Display graphplt.show() |
Output:
Example 2: Customizing color dashed line in matplotlib
To customize we will use color attributes.
Syntax: plt.plot(linestyle=’–’, color=’gold’)
Python3
# Import librariesimport matplotlib.pyplot as plt# Define AxesX = [1.5, 2.6, 3.5, 4, 9]Y = [3.25, 6.3, 4.23, 1.35, 3]# Plot a graphplt.plot(X, Y, linestyle='--', color='gold')# Display graphplt.show() |
Output:
Example 3: Customizing datapoints dashed line in matplotlib
linewidth attributes can be used to set width between datapoints.
Syntax: plt.plot(linestyle=’dashed’, linewidth= int)
Python3
# Import librariesimport matplotlib.pyplot as plt# Define AxesX = [1.5, 5.6, 3.5, 4, 9]Y1 = [1, 4, 3, 4, 5]Y2 = [6, 7, 4, 9, 10]# Plot a graphplt.plot(X, Y1, linestyle='dashed', color='black')plt.plot(X, Y2, linestyle='dashed', color='red', linewidth=4)# Display graphplt.show() |
Output
