mpld3图，注释问题 [英] mpld3 plot, annotations issues

问题描述

我正在使用 mpld3 在 Intranet 网站上显示图表.我使用的选项是将图形保存到dict，然后使用mpld3.js在客户端进行渲染.

除了我要使用注释时，图形呈现良好.那些明显抵消了.而且我不明白为什么，因为即使我将偏移量设置为 (0, 0)，注释仍然很远.

为了说明这一点，我复制并粘贴了这篇文章中给出的示例:

这是用mpld3制作的:

请注意，使用上述链接中的代码同时生成两个图像.matplotlib一种是使用:

  plt.show()

然后手动保存.

mpld3中的一个是使用:

  graph_data = json.dumps(fig_to_dict(fig))

然后 graph_data 是在客户端使用 mpld3.js 生成的，除了使用批注外，该方法工作得很好.

您知道为什么会这样吗?最终我可以只显示直接从 matplotlib 生成的图像，但具有交互式图表是一个不错的奖励.

解决方案

看来 plt.annotate 是 mpl 功能，尚不支持mpld3 .我已将其添加到缺少的功能列表.拉请求欢迎！

对于变通办法，您可以使用 plt.text 来获取单词，并使用 plt.plot 来进行其他修饰:

将 numpy 导入为 np导入matplotlib.pyplot作为pltnp.random.seed(12345) # 设置可重复性的种子N = 10数据 = np.random.random((N, 4))标签 = ['point{0}'.format(i) for i in range(N)]plt.subplots_adjust(底部= 0.1)plt.scatter(数据[:, 0], 数据[:, 1], 标记 = 'o', c = 数据[:, 2], s = 数据[:, 3]*1500,cmap = plt.get_cmap('光谱'))对于 zip(labels, data[:, 0], data[:, 1]) 中的标签, x, y:plt.text(x-.05，y + .05，标签，ha = '右', va = '底部')plt.plot([x-.05,x], [y+.05,y], 'k-')

这是一个笔记本，显示了它的实际效果.您可能还会对 HTML工具提示插件感兴趣.

I'm using mpld3 to display graphs on an intranet website. I'm using the option of saving the graph to a dict and render it on the client side using mpld3.js.

The graph renders fine except when I want to use annotations. Those ones are clearly offset. And I don't understand why, because even if I set the offset to (0, 0), the annotations are still way off.

To illustrate this, I have copied and pasted the example given in this post: Matplotlib: How to put individual tags for a scatter plot

Here is the image as correctly generated by matplotlib:

Here is the one made with mpld3:

Note that both image are generated at the same time using the code in the link mentioned above. The matplotlib one is made using:

plt.show()

and then manually saved.

The one from mpld3 is made using:

 graph_data = json.dumps(fig_to_dict(fig))

Then graph_data is generated on the client side using mpld3.js, which works perfectly fine except when using annotations.

Do you have any idea why it behaves like this? Eventually I could just display the images generated directly from matplotlib, but the have interactive chart is a nice bonus.

解决方案

It appears that plt.annotate is a mpl feature that is not yet supported in mpld3. I've added it to the list of missing features. Pull requests welcome!

For a hacky work-around, you can use plt.text to get the words and plt.plot to make any additional embellishments:

import numpy as np
import matplotlib.pyplot as plt

np.random.seed(12345) # set seed for reproducibility

N = 10
data = np.random.random((N, 4))
labels = ['point{0}'.format(i) for i in range(N)]
plt.subplots_adjust(bottom = 0.1)
plt.scatter(
    data[:, 0], data[:, 1], marker = 'o', c = data[:, 2], s = data[:, 3]*1500,
    cmap = plt.get_cmap('Spectral'))
for label, x, y in zip(labels, data[:, 0], data[:, 1]):
    plt.text(x-.05, y+.05,
        label,
        ha = 'right', va = 'bottom')
    plt.plot([x-.05,x], [y+.05,y], 'k-')

Here is a notebook that shows it in action. You might also be interested in the HTML Tooltips plugin.

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