To clear the current figure in matplotlib, you can use the plt.clf()
function. This function clears the current figure and releases its memory, allowing you to start plotting a new figure. Alternatively, you can also use the plt.close()
function to close the current figure window completely. These functions are useful when you want to clear the current plot before creating a new one or when you want to free up memory by closing unnecessary figure windows.
What is the procedure to clear the 3D plot elements from the current figure in matplotlib?
To clear the 3D plot elements from the current figure in matplotlib, you can use the clf()
method from the pyplot module. Here is the procedure:
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import matplotlib.pyplot as plt # Create a 3D plot fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.plot([1, 2, 3], [4, 5, 6], [7, 8, 9]) # Clear the 3D plot elements plt.clf() # Show the cleared plot plt.show() |
By calling plt.clf()
, all the 3D plot elements will be removed from the current figure, allowing you to create a new plot or modify the existing one.
What is the purpose of clearing the current figure in matplotlib?
Clearing the current figure in matplotlib allows you to start with a blank canvas for a new plot. This is useful when you want to create a new plot without any existing data or graphics from a previous plot cluttering the visual display. It can also help prevent unintentional overlap or confusion between different plots.
How to clear the legend from the current figure in matplotlib?
To clear the legend from the current figure in Matplotlib, you can use the legend()
function with no parameters or an empty list as argument. Here is an example:
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import matplotlib.pyplot as plt # Create a plot with a legend plt.plot([1, 2, 3], label='Line 1') plt.plot([3, 2, 1], label='Line 2') plt.legend() # Clear the legend plt.legend([]) # or # plt.legend([]) plt.show() |
This will remove the legend from the current figure.
How to clear the figure and axes labels in matplotlib?
To clear the figure and axes labels in matplotlib, you can use the following code:
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import matplotlib.pyplot as plt # Create a plot plt.plot([1, 2, 3, 4]) # Clear the figure and axes labels plt.xlabel('') plt.ylabel('') # Show the plot plt.show() |
This code will create a plot with no labels on the x and y axes. You can also use plt.title('')
to clear the title of the plot if needed.
How to clear the current figure in interactive mode in matplotlib?
To clear the current figure in interactive mode in matplotlib, you can use the plt.clf()
function.
Here is an example code snippet that demonstrates how to clear the current figure in interactive mode using plt.clf()
:
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import matplotlib.pyplot as plt # Plot something on the current figure plt.plot([1, 2, 3, 4], [1, 4, 9, 16]) # Clear the current figure plt.clf() # Plot something else on the cleared figure plt.plot([1, 2, 3, 4], [1, 8, 27, 64]) # Show the plot plt.show() |
After running this code snippet, you will see only the second plot displayed, as the first plot is cleared using plt.clf()
.