Change matplotlib line style in mid-graph
Prerequisite: Matplotlib
In this article we will learn how to change line style in mid-graph using matplotlib in Python.
- Matplotlib: It is a tremendous visualization library in Python for 2D plots of arrays. Matplotlib may be a multi-platform data visualization library built on NumPy arrays and designed to figure with the broader SciPy stack. It was introduced by John Hunter within the year 2002.
- Line style: Line style is a feature that describes in which fashion or style line is drawn. Following image shows the key that has to provided as input parameter and what line style it will produce:
Approach:
- Import the matplotlib.pyplot library and other for data (optional)
- Import or create some data
- Draw a graph plot with different line style is middle.
Example 1:
In this example we will use simple steps mentioned above and form a graph with two different line styles.
Python3
# importing packagesimport matplotlib.pyplot as pltimport numpy as np # create datax = np.linspace(0, 10, 100)y = 3 * x + 2 below = y < 15above = y >= 15 # Plot lines below as dotted-------plt.plot(x[below], y[below], '--') # Plot lines above as solid________plt.plot(x[above], y[above], '-') plt.show() |
Output :
Example 2 :
In this example we will use simple steps mentioned above and form a graph with two different line styles in one sine function.
Python3
# importing packagesimport matplotlib.pyplot as pltimport numpy as np # create datax = np.linspace(0, 10, 100)y = np.sin(x) below = y < .5above = y >= .5 # Plot lines below as dotted-------plt.plot(x[below], y[below], '--') # Plot lines above as solid_______plt.plot(x[above], y[above], '-') plt.show() |
Output :
Example 3 :
This is similar to above example with extra cosine function to show different feature of line styles in mid graph.
Python3
# importing packagesimport matplotlib.pyplot as pltimport numpy as np # create datax = np.linspace(0, 10, 100)y1 = np.sin(x)y2 = np.cos(x) below = abs(y1-y2) < .2above = abs(y1-y2) >= .2 # Plot lines below as dotted-------plt.plot(x[below], y1[below], 'r--') # Plot lines below as dotted-------plt.plot(x[below], y2[below], 'g--') # Plot lines above as solid_______plt.plot(x[above], y1[above], 'r-') # Plot lines above as solid_______plt.plot(x[above], y2[above], 'g-') plt.show() |
Output :
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