更新matplotlib图 [英] update matplotlib plot

问题描述

我正在尝试如下更新matplotlib图:

I'm trying to update a matplotlib plot as follows:

import matplotlib.pyplot as plt
import matplotlib.dates as mdate
import numpy as np

plt.ion()

fig = plt.figure()
ax = fig.add_subplot(111)

for i,(_,_,idx) in enumerate(local_minima):
    dat = dst_data[idx-24:idx+25]
    dates,values = zip(*dat)
    if i == 0:
        assert(len(dates) == len(values))
        lines2d, = ax.plot_date(mdate.date2num(dates), np.array(values), linestyle='-')
    else:
        assert(len(dates) == len(values))
        lines2d.set_ydata(np.array(values))
        lines2d.set_xdata(mdate.date2num(dates))  #This line causes problems.

        fig.canvas.draw()
    raw_input()

第一次遍历循环，该图显示得很好.第二次循环，我的绘图上的所有数据都消失了-如果我不包括 lines2d.set_xdata 行(除了x-data点当然是错误的，那一切都很好)).我看了以下帖子:

The first time through the loop, the plot displays just fine. The second time through the loop, all of the data on my plot disappears -- everything works fine if I don't include the lines2d.set_xdata line (other than the x-data points being wrong of course). I've looked at the following posts:

如何在 matplotlib 中更新绘图?

和

更新matplotlib中的行

但是，在这两种情况下，用户只更新 ydata，我也想更新 xdata.

However, in both cases, the user is only updating the ydata and I would like to update the xdata as well.

推荐答案

作为典型的案例，写一个问题的行为激发了我去寻找一种我以前没有想到的可能性.x数据 正在更新，但绘图范围未更新.当我在情节上放新数据时，一切都超出了范围.解决方案是添加:

As is the typical case, the act of writing up a question inspired me to look into a possibility I hadn't thought of previously. The x-data is being updated, but the plot ranges are not. When I put new data on the plot, it was all out of range. The solution was to add:

ax.relim()
ax.autoscale_view(True,True,True)

(部分参考)

这是原始问题上下文中的代码，希望有一天能对其他人有所帮助:

Here's the code in context of the original question in hopes that it will be helpful to someone else someday:

import matplotlib.pyplot as plt
import matplotlib.dates as mdate
import numpy as np

plt.ion()

fig = plt.figure()
ax = fig.add_subplot(111)

for i,(_,_,idx) in enumerate(local_minima):
    dat = dst_data[idx-24:idx+25]
    dates,values = zip(*dat)
    if i == 0:
        assert(len(dates) == len(values))
        lines2d, = ax.plot_date(mdate.date2num(dates), np.array(values), linestyle='-')
    else:
        assert(len(dates) == len(values))
        lines2d.set_ydata(np.array(values))
        lines2d.set_xdata(mdate.date2num(dates))  #This line causes problems.
        ax.relim()
        ax.autoscale_view(True,True,True)
        fig.canvas.draw()
    raw_input()

这篇关于更新matplotlib图的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！