How to pick a new color for each plotted line within a figure in python

How to pick a new color for each plotted line within a figure in python

To pick a new color for each plotted line within a figure in Python, you can use a loop and specify a different color for each line you plot. You can do this by selecting colors from a predefined color palette or generating random colors. Below are examples of both methods:

Method 1: Using a predefined color palette

You can use a predefined color palette like the ones available in the matplotlib library to pick a sequence of distinct colors for your lines. Here's an example:

import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y1 = [10, 5, 15, 7, 9] y2 = [5, 9, 8, 4, 6] y3 = [12, 8, 6, 11, 13] # Predefined color palette colors = ['b', 'g', 'r', 'c', 'm'] # Plot each line with a different color plt.plot(x, y1, label='Line 1', color=colors[0]) plt.plot(x, y2, label='Line 2', color=colors[1]) plt.plot(x, y3, label='Line 3', color=colors[2]) # Add legend plt.legend() # Show the plot plt.show()

In this example, we specify a predefined color palette (colors) and assign a different color from the palette to each line using the color parameter in the plt.plot() function.

Method 2: Generating random colors

You can also generate random colors for each line using Python's random module. Here's an example:

import matplotlib.pyplot as plt import random # Sample data x = [1, 2, 3, 4, 5] y1 = [10, 5, 15, 7, 9] y2 = [5, 9, 8, 4, 6] y3 = [12, 8, 6, 11, 13] # Generate random colors for each line line_colors = [f'#{random.randint(0, 0xFFFFFF):06x}' for _ in range(3)] # Plot each line with a random color plt.plot(x, y1, label='Line 1', color=line_colors[0]) plt.plot(x, y2, label='Line 2', color=line_colors[1]) plt.plot(x, y3, label='Line 3', color=line_colors[2]) # Add legend plt.legend() # Show the plot plt.show()

In this example, we use the random.randint() function to generate random colors represented as hexadecimal values and then convert them to color strings (e.g., '#RRGGBB') for each line.

Choose the method that best suits your preferences and requirements for picking colors for your plotted lines within a figure.

Examples

  1. "Python matplotlib plot: assign unique colors to each line" Description: This code snippet demonstrates how to assign a new color to each plotted line within a figure using Matplotlib's plot() function and specifying a list of colors.

    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) fig, ax = plt.subplots() colors = ['red', 'blue'] # Specify list of colors ax.plot(x, y1, color=colors[0], label='sin(x)') ax.plot(x, y2, color=colors[1], label='cos(x)') ax.legend() plt.show()

  2. "Matplotlib plot: generate distinct colors for multiple lines" Description: This Python code snippet showcases generating distinct colors for each plotted line within a figure using Matplotlib's plot() function and cycling through a colormap.

    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) fig, ax = plt.subplots() num_lines = 2 cm = plt.get_cmap('tab10') # Choose a colormap colors = [cm(i) for i in np.linspace(0, 1, num_lines)] # Generate colors ax.plot(x, y1, color=colors[0], label='sin(x)') ax.plot(x, y2, color=colors[1], label='cos(x)') ax.legend() plt.show()

  3. "Python Matplotlib: set different colors for each line in a plot" Description: This Python code snippet illustrates setting different colors for each plotted line within a figure using Matplotlib's plot() function and providing a color argument for each line.

    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) fig, ax = plt.subplots() ax.plot(x, y1, color='green', label='sin(x)') ax.plot(x, y2, color='orange', label='cos(x)') ax.legend() plt.show()

  4. "Matplotlib plot: assign unique colors to lines dynamically" Description: This Python code snippet demonstrates dynamically assigning unique colors to each plotted line within a figure using Matplotlib's plot() function and a loop with different color specifications.

    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y = np.sin(x * np.pi) fig, ax = plt.subplots() for i in range(1, 4): color = plt.cm.viridis(i / 4.0) # Dynamically generate colors ax.plot(x, y + i, color=color, label=f'y+{i}') ax.legend() plt.show()

  5. "Python Matplotlib plot: generate random colors for lines" Description: This Python code snippet showcases generating random colors for each plotted line within a figure using Matplotlib's plot() function and the random module.

    import matplotlib.pyplot as plt import numpy as np import random x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) fig, ax = plt.subplots() def random_color(): return (random.random(), random.random(), random.random()) ax.plot(x, y1, color=random_color(), label='sin(x)') ax.plot(x, y2, color=random_color(), label='cos(x)') ax.legend() plt.show()

  6. "Matplotlib: set distinct colors for multiple lines in Python" Description: This Python code snippet illustrates setting distinct colors for each plotted line within a figure using Matplotlib's plot() function and manually specifying colors for each line.

    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) fig, ax = plt.subplots() ax.plot(x, y1, color='cyan', label='sin(x)') ax.plot(x, y2, color='magenta', label='cos(x)') ax.legend() plt.show()

  7. "Python Matplotlib plot: set unique colors for each line" Description: This Python code snippet demonstrates setting unique colors for each plotted line within a figure using Matplotlib's plot() function and providing a different color argument for each line.

    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) fig, ax = plt.subplots() ax.plot(x, y1, color='purple', label='sin(x)') ax.plot(x, y2, color='yellow', label='cos(x)') ax.legend() plt.show()

  8. "Matplotlib: assign distinct colors to multiple lines in Python plot" Description: This Python code snippet showcases assigning distinct colors to each plotted line within a figure using Matplotlib's plot() function and specifying individual color arguments for each line.

    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) fig, ax = plt.subplots() ax.plot(x, y1, color='gold', label='sin(x)') ax.plot(x, y2, color='lime', label='cos(x)') ax.legend() plt.show()

  9. "Python Matplotlib plot: choose unique colors for each line" Description: This Python code snippet illustrates choosing unique colors for each plotted line within a figure using Matplotlib's plot() function and providing a distinct color argument for each line.

    import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) fig, ax = plt.subplots() ax.plot(x, y1, color='olive', label='sin(x)') ax.plot(x, y2, color='teal', label='cos(x)') ax.legend() plt.show()

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