例子11-1：横坐标时间的处理

from matplotlib.dates import datestr2num,DateFormatterimport matplotlib.dates as datesfig,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 tkax.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 datesax.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}