How to use 'seaborn histplot' in Python
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88 def 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