Shading an area between two points in a matplotlib plot

Shading an area between two points in a matplotlib plot

To shade the area between two points on a matplotlib plot, you can use the fill_between() function, which allows you to fill the area between two lines on a plot. Here's an example of how to do it:

import matplotlib.pyplot as plt import numpy as np # Create some sample data x = np.linspace(0, 10, 100) y = np.sin(x) # Define the points between which you want to shade the area x_start = 2 x_end = 7 # Create the plot plt.figure(figsize=(8, 4)) plt.plot(x, y, label='Function') plt.fill_between(x, y, where=(x >= x_start) & (x <= x_end), alpha=0.3, color='gray', label='Shaded Area') # Add labels and legend plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.legend() # Show the plot plt.show() 

In this example:

  1. We create sample data for the x-axis (x) and y-axis (y).

  2. We define the points between which we want to shade the area by specifying x_start and x_end.

  3. We create the plot using plt.plot().

  4. We use plt.fill_between() to shade the area between the two points. The where parameter is used to specify the condition for shading (in this case, where x is between x_start and x_end). The alpha parameter controls the transparency of the shaded area, and the color parameter specifies the color of the shading.

  5. We add labels to the axes and a legend.

  6. Finally, we display the plot using plt.show().

Adjust the values of x_start, x_end, and the data as needed for your specific use case.

Examples

  1. How to shade an area between two points on a line plot in Matplotlib

    • To shade an area between two points in a line plot, you can use plt.fill_between to fill the area between specified x-coordinates. This example demonstrates shading the area between two points on a line plot:
    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y = np.sin(x) plt.plot(x, y, label="sin(x)") plt.fill_between(x, y, where=(x >= 2) & (x <= 5), color='gray', alpha=0.5) # Shade between x=2 and x=5 plt.legend() plt.show() 
  2. How to shade between two specific x-values in a Matplotlib plot

    • To shade an area between specific x-values, you can use plt.fill_between with a condition. This example demonstrates shading an area between two specific x-values in a plot:
    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y = np.cos(x) plt.plot(x, y, label="cos(x)") plt.fill_between(x, y, where=(x >= 3) & (x <= 7), color='orange', alpha=0.3) # Shade between x=3 and x=7 plt.legend() plt.show() 
  3. How to shade an area between two horizontal lines in a Matplotlib plot

    • To shade an area between two horizontal lines, you can use plt.fill_betweenx to fill between specified y-values. This example shows shading between two horizontal lines:
    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y = np.tan(x) plt.plot(x, y, label="tan(x)") plt.fill_betweenx(y, 4, 6, where=(x >= 2) & (x <= 8), color='green', alpha=0.4) # Shade between y=4 and y=6 plt.legend() plt.show() 
  4. How to shade an area between a line and a horizontal threshold in Matplotlib

    • To shade an area between a line and a horizontal threshold, you can use plt.fill_between with a specified y-value. This example demonstrates shading between a line and a constant y-value:
    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y = x**2 plt.plot(x, y, label="x^2") plt.fill_between(x, y, 20, where=(x >= 2) & (x <= 8), color='purple', alpha=0.3) # Shade between line and y=20 plt.legend() plt.show() 
  5. How to shade an area between two curves in Matplotlib

    • To shade an area between two curves, you can use plt.fill_between with two sets of y-values. This example demonstrates shading the area between two curves:
    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) plt.plot(x, y1, label="sin(x)") plt.plot(x, y2, label="cos(x)") plt.fill_between(x, y1, y2, where=(x >= 2) & (x <= 8), color='red', alpha=0.3) # Shade between sin(x) and cos(x) plt.legend() plt.show() 
  6. How to shade an area between a line and the x-axis in Matplotlib

    • To shade an area between a line and the x-axis, you can use plt.fill_between with a specified y-value of zero. This example shows shading between a line and the x-axis:
    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y = np.sin(x) plt.plot(x, y, label="sin(x)") plt.fill_between(x, y, 0, where=(x >= 3) & (x <= 7), color='blue', alpha=0.4) # Shade between line and x-axis plt.legend() plt.show() 
  7. How to shade an area between two points on a scatter plot in Matplotlib

    • To shade an area between two points on a scatter plot, you can use plt.fill_between with the same approach as line plots. This example shows shading between two points in a scatter plot:
    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y = np.sin(x) plt.scatter(x, y, label="sin(x)") plt.fill_between(x, y, where=(x >= 2) & (x <= 5), color='gray', alpha=0.5) # Shade between points plt.legend() plt.show() 
  8. How to shade an area between two values on a Matplotlib bar plot

    • To shade an area between two points on a bar plot, you can use plt.fill_between and manipulate bar positions. This example shows shading between two points on a bar plot:
    import matplotlib.pyplot as plt import numpy as np x = np.arange(1, 11) y = x**2 plt.bar(x, y, label="x^2") plt.fill_between(x, y, where=(x >= 3) & (x <= 7), color='yellow', alpha=0.3) # Shade between bar plots plt.legend() plt.show() 
  9. How to shade an area between two points in a Matplotlib step plot

    • To shade an area between two points in a step plot, you can use plt.fill_between with specific x-coordinates. This example demonstrates shading between two points in a step plot:
    import matplotlib.pyplot as plt import numpy as np x = np.arange(1, 11) y = np.cumsum(x) plt.step(x, y, label="Cumulative sum") plt.fill_between(x, y, where=(x >= 3) & (x <= 7), color='pink', alpha=0.5) # Shade between points in step plot plt.legend() plt.show() 
  10. How to shade an area between two values with a custom pattern in Matplotlib


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