Difference between plt.close() and plt.clf()

plt.clf() clears the entire current figure with all its axes, but leaves the window opened, such that it may be reused for other plots.

plt.close() closes a window, which will be the current window, if not specified otherwise.

plt.close() will close the figure window entirely, where plt.clf() will just clear the figure - you can still paint another plot onto it.

It sounds like, for your needs, you should be preferring plt.clf(), or better yet keep a handle on the line objects themselves (they are returned in lists by plot calls) and use .set_data on those in subsequent iterations.

I think it is worth mentioning that plt.close() releases the memory, thus is preferred when generating and saving many figures in one run.

Using plt.clf() in such case will produce a warning after 20 plots (even if they are not going to be shown by plt.show()):

More than 20 figures have been opened. Figures created through the pyplot interface (matplotlib.pyplot.figure) are retained until explicitly closed and may consume too much memory.

There is a slight difference between the two functions.

plt.close() - It altogether plots the graph in seperate windows,releasing memory,retaining each window for view.

plt.clf() - We can say,it displays the graph in the same window one after other

For illustration, I have plotted two graphs with paramters year and views on X axis and Y axis each. Initially I have used closed function.it displayed the graphs in two seperate windows…

Afterwords, when I run the program with clf() it clears the graph and displays next one in same window i.e figure 1. Here is the code snippet -

    import matplotlib.pyplot as plt
    year = [2001,2002,2003,2004]
    Views= [12000,14000,16000,18000]
    Views2 = [15000,1800,24000,84000]
    plt.plot(year,Views)
    plt.show()
    plt.clf()
    plt.plot(year,Views2)
    plt.show()
    plt.clf()

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