绘制datetime.time的直方图python/matplotlib [英] plot histogram of datetime.time python / matplotlib

问题描述

我正在尝试绘制datetime.time值的直方图.这些值离散为五分钟.数据如下所示:

I am trying to plot a histogram of datetime.time values. Where these values are discretized into five minute slices. The data looks like this, in a list:

['17:15:00', '18:20:00', '17:15:00', '13:10:00', '17:45:00', '18:20:00']

我想绘制直方图或某种形式的分布图，以便可以轻松检查每次出现的次数.

I would like to plot a histogram, or some form of distribution graph so that the number of occurrences of each time can be examined easily.

NB.每次给出都是离散的.直方图中的最大bin数为288 =(60/5 * 24)

NB. Given each time is discretised then. The maximum number of bins in a histogram would be 288 = (60 / 5 * 24)

我看过matplotlib.pyplot.hist.但是需要某种连续的标量

I have looked at matplotlib.pyplot.hist. But is requires some sort of continuous scalar

推荐答案

我按照David Zwicker所说的做了，用了几秒钟，然后改变了x轴.我将看看戴夫(Dave)关于垃圾桶"的看法.这项工作大致可行，并给出了每小时的柱线图.

I did what David Zwicker said and used seconds, and then changed the x axis. I will look at what Dave said about 'bins'. This works roughly and gives a bar per hour plot to start with.

def chart(occurance_list):
    hour_list = [t.hour for t in occurance_list]
    print hour_list
    numbers=[x for x in xrange(0,24)]
    labels=map(lambda x: str(x), numbers)
    plt.xticks(numbers, labels)
    plt.xlim(0,24)
    plt.hist(hour_list)
    plt.show()

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