设置matplotlib 横坐标为毫秒

设置坐标为毫秒

# coding: UTF-8import datetimeimport matplotlib.datesimport matplotlib.pyplotticklist = list()def gen_tick_items(tline):    global ticklist    itemlist = tline.split('|')    item = dict()    item['TradeVolume'] = int(itemlist[0].strip())    item['TotalValueTraded'] = float(itemlist[1].strip())    item['TradePrice'] = float(itemlist[2].strip())    item['Timestamp'] = datetime.datetime.strptime(itemlist[3].strip(), '%H:%M:%S.%f')    item['MDTime'] = datetime.datetime.strptime(itemlist[4].strip(), '%Y%m%d-%H:%M:%S.%f')    ticklist.append(item)def draw_timestamp(ttype):    if ttype == 'TimeStamp':        matplotlib.pyplot.gca().xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%Y%m%d-%H:%M:%S.%f'))        matplotlib.pyplot.gca().xaxis.set_major_locator(matplotlib.dates.MicrosecondLocator(interval=100000000))        matplotlib.pyplot.gca().yaxis.set_major_formatter(matplotlib.dates.DateFormatter('%H:%M:%S'))        matplotlib.pyplot.gca().yaxis.set_major_locator(matplotlib.dates.MinuteLocator(interval=30))        xs = [t['MDTime'] for t in ticklist]        xticks = [t for index, t in enumerate(xs) if index % 600 == 0]        ys = [t['Timestamp'] for t in ticklist]        matplotlib.pyplot.gca().axes.set_xticks(xticks)        matplotlib.pyplot.gca().axes.set_xlim(auto=True)        matplotlib.pyplot.plot(xs, ys)        matplotlib.pyplot.gcf().autofmt_xdate()        matplotlib.pyplot.grid(True)        matplotlib.pyplot.show()    elif ttype == 'TradeVolume':        matplotlib.pyplot.gca().xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%H:%M:%S'))        matplotlib.pyplot.gca().xaxis.set_major_locator(matplotlib.dates.MinuteLocator(interval=5))        xs = [t['MDTime'] for t in ticklist]        xticks = [t for index, t in enumerate(xs) if index % 120 == 0]        ys = [t['TradeVolume'] for t in ticklist]        matplotlib.pyplot.gca().axes.set_xticks(xticks)        matplotlib.pyplot.gca().axes.set_xlim(auto=True)        matplotlib.pyplot.gca().set_ylabel('TradeVolume')        matplotlib.pyplot.gca().set_xlabel('MDTime')        matplotlib.pyplot.plot(xs, ys)        matplotlib.pyplot.gcf().autofmt_xdate()        matplotlib.pyplot.grid(True)        matplotlib.pyplot.show()    elif ttype == 'TotalValueTraded':        matplotlib.pyplot.gca().xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%H:%M:%S'))        matplotlib.pyplot.gca().xaxis.set_major_locator(matplotlib.dates.MinuteLocator(interval=5))        xs = [t['MDTime'] for t in ticklist]        xticks = [t for index, t in enumerate(xs) if index % 120 == 0]        ys = [t['TotalValueTraded'] for t in ticklist]        matplotlib.pyplot.gca().axes.set_xticks(xticks)        matplotlib.pyplot.gca().axes.set_xlim(auto=True)        matplotlib.pyplot.gca().set_ylabel('TotalValueTraded')        matplotlib.pyplot.gca().set_xlabel('MDTime')        matplotlib.pyplot.plot(xs, ys)        matplotlib.pyplot.gcf().autofmt_xdate()        matplotlib.pyplot.grid(True)        matplotlib.pyplot.show()    elif ttype == 'TradePrice':        matplotlib.pyplot.gca().xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%H:%M:%S'))        matplotlib.pyplot.gca().xaxis.set_major_locator(matplotlib.dates.MinuteLocator(interval=5))        xs = [t['MDTime'] for t in ticklist]        xticks = [t for index, t in enumerate(xs) if index % 20 == 0]        ys = [t['TradePrice'] for t in ticklist]        matplotlib.pyplot.gca().axes.set_xticks(xticks)        matplotlib.pyplot.gca().axes.set_xlim(auto=True)        matplotlib.pyplot.gca().set_ylabel('TradePrice')        matplotlib.pyplot.gca().set_xlabel('MDTime')        matplotlib.pyplot.plot(xs, ys)        matplotlib.pyplot.gcf().autofmt_xdate()        matplotlib.pyplot.grid(True)        matplotlib.pyplot.show()if __name__ == '__main__':    fr = open('md001.txt', 'r')    for line in fr.readlines():        gen_tick_items(line)    draw_timestamp('TradePrice')