Pyplot - 正值和负值的条形图 [英] Pyplot - bar chart of positive and negative values

问题描述

我希望负向条向下，正向上，x轴（0行）在它们之间通过。我试过这个

  chart = fig.bar（x，negative_data，width = 35，color ='r'）
 ax2 = plt.gca（）。twinx（）
 ax2.bar（x，positive_data，width = 35，color ='b'）
  

但是相反，我会合并红色和白色条，两者都朝下。看来，数组negative_data / positive_data只指定了条的高度，但我如何指定方向？我需要一些东西来指定每个栏的顶部的坐标。

另外，如何使宽度合理，可能是动态的，因为图形是由用户调整大小的？

以下是宽度有问题的示例：

  x = [250,1500,2750,4250,6000,8500,13200] 
 negative_data = [0,0,0,0,0,0,0] 
 positive_data = [3,0,0,0 ，1，0，0] 
  

我怎样才能让这些看起来好看？

解决方案

您不需要添加双轴，您可以在同一轴上绘制两个条形图，如下所示：

  x =范围（7）
 negative_data = [-1，-4，-3，-2，-6，-2 ，-8] 
 positive_data = [4,2,3,1,4,6,7，] 
 
 fig = plt.figure（）
 ax = plt.subplot （111）
 ax.bar（x，negative_data，width = 1，color ='r'）
 ax.bar（x，positive_data，width = 1，color ='b'）
  

宽度为1的条形图将填充轴并按照原样放大调整大小。

I want the negative bars to be facing downwards, and the positive upwards, with the x-axis(0-line) passing right between them. I tried this

chart = fig.bar(x, negative_data, width=35, color='r')
ax2 = plt.gca().twinx()
ax2.bar(x, positive_data, width=35, color='b')

But instead, I get merged red and white bars, both facing downwards. It seems that the arrays negative_data/positive_data only specify the height of the bar, but how do I specify the orientation? I need something to specify the coordinates of the tops of each bar.

Also, how do I make the widths be something reasonable, possibly dynamic as the graph is resized by user?

Here is an example of problematic widths:

x = [250, 1500, 2750, 4250, 6000, 8500, 13200]
negative_data = [0, 0, 0, 0, 0, 0, 0]
positive_data = [3, 0, 0, 0, 1, 0, 0]

How can I make the plot of those look nice?

解决方案

You don't need to add a twin axis, you can plot both bar charts on the same axis like this:

x = range(7)
negative_data = [-1,-4,-3,-2,-6,-2,-8]
positive_data = [4,2,3,1,4,6,7,]

fig = plt.figure()
ax = plt.subplot(111)
ax.bar(x, negative_data, width=1, color='r')
ax.bar(x, positive_data, width=1, color='b')

Bars with a width of one will fill the axes and will scale with the figure as it is resized.

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