import numpy as npimport matplotlibpyplot as plt# 停车时间的分布情况def parking_time_distributionparking_times plthistparking_times bins=10 pltxlabelParking Time minutes pltylabelFrequency plttitle

There doesn't appear to be any errors in the code. However, there is one potential improvement that could be made. In the function "peak_time_statistics", instead of using a loop to count the number of cars for each hour, you could use the numpy function "np.histogram" to compute the histogram directly. Here's an example:

def peak_time_statistics(entrance_times):
    hours = [int(time.split(':')[0]) for time in entrance_times]
    hourly_counts, _ = np.histogram(hours, bins=24, range=(0, 24))
    
    plt.bar(range(24), hourly_counts)
    plt.xlabel('Hour')
    plt.ylabel('Number of Cars')
    plt.title('Peak Time Statistics')
    plt.show()

This approach is more efficient and avoids the need for the "hourly_counts" array initialization