问题描述
您可以看到下面的直方图.
它像pl.hist(data1,bins=20,color='green',histtype="step",cumulative=-1)
如何缩放直方图?
例如，让直方图的高度变成现在的三分之一.
You can see there is histogram below.
It is made likepl.hist(data1,bins=20,color='green',histtype="step",cumulative=-1)
How to scale the histogram?
For example, let the height of the histogram be one third of it is like now.
此外，这是一种删除左侧垂直线的方法吗?
Besides, it is a way to remove the vertical line at the left?
推荐答案
matplotlib hist实际上只是对其他一些函数的调用.直接使用这些命令通常更容易，使您可以检查数据并直接对其进行修改:
The matplotlib hist is actually just making calls to some other functions. It is often easier to use these directly allowing you to inspect the data and modify it directly:
# Generate some data
data = np.random.normal(size=1000)
# Generate the histogram data directly
hist, bin_edges = np.histogram(data, bins=10)
# Get the reversed cumulative sum
hist_neg_cumulative = [np.sum(hist[i:]) for i in range(len(hist))]
# Get the cin centres rather than the edges
bin_centers = (bin_edges[:-1] + bin_edges[1:]) / 2.
# Plot
plt.step(bin_centers, hist_neg_cumulative)
plt.show()
hist_neg_cumulative是要绘制的数据数组.因此，您可以根据需要调整比例，然后再将其传递给绘图功能.这也不会绘制垂直线.
The hist_neg_cumulative is the array of data being plotted. So you can rescale is as you wish before passing it to the plotting function. This also doesn't plot the vertical line.
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