seaborn distplot 循环懒惰评估

Question

I am using ipython notebook and trying to use the following function to export seaborn distplots. It works just fine if I call the function and execute with only one variable at a time. If I call the function in a loop, it continues to build on top of the distplot from the previous function call.

My desired output would be for the function to output a new displot every time it is called in a loop. Is there a way to force evaluation or a new distplot?

def graph_extraversion (x):


    file_name = "extraversion_" + str(x) + ".png"
    sns_plot = sns.distplot(Personalities[Personalities.labels1 ==x].extraversion)
    sns_plot = sns.distplot(df.extraversion)
    fig = sns_plot.get_figure()
    fig.savefig(file_name)
    new_stat = Personalities[Personalities.labels1 ==x].extraversion.describe()
    extraversion_drift = extraversion_median - new_stat[1]
    drift = extraversion_drift / extraversion_std
    if (drift >= 1) | (drift <= -1):
        return "1 std deviation or more"
    else:
        return "Less than one std deviation"

This what is what the distplot looks like after one call

This is two calls later in a loop.

Again this works just fine with a single call and execution but when looped it keeps building.

Answer 1

So this has to do with matplotlib and closing figures.

additional code required is an import:

import matplotlib.pyplot as plt

Then at the end of the func:

plt.close(fig)

This should help with any looping with both seaborn and matplotlib