[英]Setting min/max years on x-axis using matplotlib
I have plotted a timeseries of carbon fluxes over 16 years at a particular site. 我已经在特定地点绘制了超过16年的碳通量的时间序列。 I would like the x-axis to have years (1992-2007) instead of year number (1-16).
我希望x轴有年(1992-2007)而不是年数(1-16)。 When I set the x-axis to have a min value of 1992 and a max value of 2007, the graph doesnt appear on the plot, but when I dont set the min/max years, it appears.
当我将x轴设置为最小值为1992且最大值为2007时,图形不会出现在图表上,但是当我没有设置最小/最大年份时,它会出现。 I'm not sure what I am doing wrong.
我不确定我做错了什么。 I plotted another timeseries over one year and was able to label the x-axis with the months using MonthLocator, but am having no luck with YearLocator.
我在一年内绘制了另一个时间序列,并且能够使用MonthLocator标记x轴与月份,但是我没有使用YearLocator。 Here is the code that I have written:
这是我写的代码:
fig=pyplot.figure()
ax=fig.gca()
ax.plot_date(days,nee,'r-',label='model daily nee')
ax.plot_date(days,nee_obs,'b-',label='obs daily nee')
# locate the ticks
ax.xaxis.set_major_locator(YearLocator())
# format the ticks
ax.xaxis.set_major_formatter(DateFormatter('%Y'))
# set years 1992-2007
datemin = datetime.date(1992, 1, 1)
datemax = datetime.date(2007, 12, 31)
ax.set_xlim(datemin, datemax)
labels=ax.get_xticklabels()
setp(labels,'rotation',45,fontsize=10)
legend(loc="upper right", bbox_to_anchor=[0.98, 0.98],
ncol=1, shadow=True)
pyplot.ylabel('NEE($gC m^{-2} day^{-1}$)')
pyplot.title('Net Ecosystem Exchange')
pyplot.savefig('nee_obs_model_HF_daily.pdf')
# rotates and right aligns the x labels, and moves the bottom of the
# axes up to make room for them
#fig.autofmt_xdate()
pyplot.show()
pyplot.close()
I think Andrey Sobolev is right. 我认为安德烈索博列夫是对的。 When I run your script, with minor adjustments, :-), with some data the I have with the date field as a date, I get the years to show up with no problems.
当我运行你的脚本时,通过微调,:-),以及日期字段作为日期的一些数据,我得到了几年没有问题。 It's virtually your code, with the exception of:
它实际上是您的代码,但以下情况除外:
fh = open(thisFileName)
# a numpy record array with fields: date, nee, nee_obs
# from a csv, thisFileName with format:
# Date,nee,nee_obs
# 2012-02-28,137.20,137.72
matplotlib.mlab.csv2rec(fh)
fh.close()
r.sort()
days = r.date
nee = r.nee
nee_obs = r.nee_obs
...
...
and then I get: 然后我得到:
Much of this solution what borrowed from here . 从这里借来的大部分解决方案。 Let me know if I misinterpreted what you need.
如果我误解了你的需要,请告诉我。
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