例子11-1:横坐标时间的处理
from matplotlib.dates import datestr2num,DateFormatter import matplotlib.dates as dates fig,ax=plt.subplots() formatter = DateFormatter('%H') #设置时间间隔 ax.xaxis.set_major_locator(dates.HourLocator(byhour=range(24), interval=4)) ax.xaxis.set_major_formatter(formatter) ax.plot_date(datestr2num(time_list),iops_list,'-',label='iops')
输出结果:
例子11-2:纵坐标处理
原图:
从图上看纵坐标区间过大,不利用查看。
改成200为步长:
import matplotlib.ticker as tk ax.yaxis.set_major_locator(tk.MultipleLocator(200))
输出结果:
例子11-3:纵坐标处理——按照分钟进行间隔
如下是原始输出的图
时间轴每5分钟一次,过于太密,想改成如下效果:
按照分钟级别进行汇总,代码修改的地方如下:
import matplotlib.dates as dates ax.xaxis.set_major_locator(dates.MinuteLocator(byminute=range(60), interval=10)) >>> import matplotlib.dates as dates >>> help(dates) #查看帮助文档 Here are all the date tickers: * :class:`MinuteLocator`: locate minutes * :class:`HourLocator`: locate hours * :class:`DayLocator`: locate specifed days of the month * :class:`WeekdayLocator`: Locate days of the week, eg MO, TU * :class:`MonthLocator`: locate months, eg 7 for july * :class:`YearLocator`: locate years that are multiples of base | ---------------------------------------------------------------------- | Data and other attributes inherited from DateLocator: | | hms0d = {'byhour': 0, 'byminute': 0, 'bysecond': 0}