直方图的回收箱之和不等于赋范=真
直方图的回收箱之和不等于赋范=真
提问于 2016-03-07 14:53:48
我只是进入直方图绘图，而且我似乎无法让norm = True为这个数据集生成1条累加的回收箱。
import matplotlib.pyplot as plt
data2B = [
59, 449, 209, 405, 207, 304, 632, 492, 422, 55,
49, 527, 401, 633, 115, 73, 241, 240, 379, 363,
65, 126, 386, 100, 117, 100, 244, 69, 278, 423,
247, 326, 301, 333, 403, 179, 360, 501, 169, 21,
388, 428, 325, 127, 42, 387, 163, 153, 291, 707,
290, 454, 226, 322, 503, 276, 58, 114, 440, 495,
307, 180, 349, 227, 176, 338, 212, 166, 177, 534,
330, 281, 286, 136, 601, 179, 307, 296, 250, 598,
62, 326, 190, 226, 217, 242, 201, 292, 316, 216,
419, 905, 150, 362, 150, 329, 499, 401, 75, 168,
355, 116, 54, 227, 476, 158, 332, 162, 110, 269,
116, 171, 212, 188, 302, 92, 234, 376, 174, 208,
508, 303, 151, 284, 404, 181, 327, 148, 435, 284,
233, 160, 163, 441, 219, 556, 396, 224, 119, 293,
669, 213, 328, 89, 227, 720, 179, 690, 309, 517,
241, 582, 317, 87, 207, 288, 138, 379, 381, 220,
351, 150, 56, 107, 357, 239, 565, 486, 278, 127,
209, 206, 542, 97, 243, 176, 190, 155, 379, 364,
581, 330, 421, 283, 330, 232, 354, 293, 305, 363,
256, 237, 381, 156, 272, 356, 643, 572, 159, 217]
# Plot histogram of data2B
entries, bin_edges, c = plt.hist(data2B, normed = True)
plt.title("data2B")
plt.ylabel("Frequency")
plt.xlabel("Data Numbers")
plt.show()
print sum(entries)垃圾箱之和为0.0113122171946。我做错了什么？
回答 1
Stack Overflow用户
回答已采纳
发布于 2016-03-07 16:21:27
如果您不忘记考虑到回收箱的宽度，那么这些垃圾箱的加起来就等于1。
import numpy as np
entries, bin_edges, c = plt.hist(data2B, normed=True)
# width of the bins
print(np.diff(bin_edges)) #[88.4 88.4 ...]
# integral of the histogram
print(sum(entries * np.diff(bin_edges))) # 1.0页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/35846786
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