如何通过matplotlib缩放直方图 [英] how to scale the histogram plot via matplotlib

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 like pl.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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