How to use 'seaborn histplot' in Python

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88def plot_hist(axes, data, xlabel=None, log=False, avg=True, median=True, bins=None, **kwargs):
89 time_max = max(data)
90 time_min = min(data)
91 time_avg = np.average(data)
92 time_median = np.median(data)
93 if bins is None:
94 bins = time_max - time_min + 1
95 hist = axes.hist(data, bins=bins, log=log, **kwargs)
96 if avg:
97 axes.axvline(x=time_avg, alpha=0.7, linestyle="dotted", color="blue", label="avg = {}".format(time_avg))
98 if median:
99 axes.axvline(x=time_median, alpha=0.7, linestyle="dotted", color="green", label="median = {}".format(time_median))
100 axes.set_ylabel("count" + ("\n(log)" if log else ""))
101 axes.set_xlabel("time" if xlabel is None else xlabel)
102 axes.xaxis.set_major_locator(ticker.MaxNLocator())
103 if avg or median:
104 axes.legend(loc="best")
105 return hist
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