python 三維圖直方圖

A histogram is a graphical technique or a type of data representation using bars of different heights such that each bar group's numbers into ranges (bins or buckets). Taller the bar higher the data falls in that bin. A Histogram is one of the most used techniques in data visualization and therefore, matplotlib has provided a function matplotlib.pyplot.hist() for plotting histograms. Step histogram is a type of histogram in which Bars are not filled with color, instead only the edge is the representation of Histogram. It is in a form of steps of stairs and therefore it is known as step histogram.

直方圖是使用不同高度的條形圖的圖形技術或一種數據表示形式，以使每個條形圖組的數字都位于范圍內(箱或桶)。 數據落入該容器的欄越高，該欄越高。 直方圖是數據可視化中最常用的技術之一，因此，matplotlib提供了一個函數matplotlib.pyplot.hist()來繪制直方圖。 階梯直方圖是直方圖的一種類型，其中條形圖未填充顏色，而是僅邊緣表示直方圖。 它采用階梯的形式，因此稱為階梯直方圖。

The following example illustrates the implementation and use of the Step Histogram Plot.

以下示例說明了“階梯直方圖”的實現和使用。

步進直方圖的Python代碼 (Python code for step histogram plot)

import matplotlib.pyplot as plt import numpy as np# random data generation mu, sigma = 100, 15 x = mu + sigma * np.random.randn(10000)# Histogram of the Data plt.figure() plt.hist(x, 25, histtype='step') plt.xlabel('Smarts') plt.ylabel('Probability') plt.title('Step Histogram') plt.show()plt.figure() plt.hist(x, 15, density=1, histtype='step') plt.xlabel('Smarts') plt.ylabel('Probability') plt.title('Step Histogram : No. of Bins = 15') plt.show()plt.figure() plt.hist(x, 10, density=1, edgecolor='purple', linewidth=2.0, histtype='step') plt.xlabel('Smarts') plt.ylabel('Probability') plt.title('Step Histogram : Edge Width = 2.0') plt.show()

Output:

輸出：

Output is as figure

翻譯自: https://www.includehelp.com/python/step-histogram-plot.aspx

python 三維圖直方圖

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