谢谢大家的帮助，还有一个问题 arr = np.array([3.12, 3.43, 3.77, 4.15, 4.57],dtype=np.float32)，brr = np.array([2.56, 2.81, 3.09, 3.39, 4.57],dtype=np.float32)，那么为什么 arr[-1] == brr[-1]却是正确的。
这是书上的一个例子，我发现不用 plt.show()就能显示，但是 plt.legend(loc=(0.64,0.1))就显示上面的提示。
import matplotlib.pyplot as plt
d = [11,12,13,14,15,16,17]
t0 = [15.3,12.6,12.7,13.2,12.3,11.4,12.8]
t1 = [26.1,26.2,24.3,25.1,26.7,27.8,26.9]
t2 = [22.3,20.6,19.8,21.6,21.3,19.4,21.4]
plt.plot(d,t0,label='Tokyo')
plt.plot(d,t1,label='Hawaii')
plt.plot(d,t2,label='Hong Kong')
plt.xlim(11,15)
plt.ylim(0,30)
plt.xlabel('Date',size=12,fontweight='semibold')
plt.ylabel('Temperature (°C)',size=12,fontweight='semibold')
plt.grid(True,linewidth=0.5,color='#aaaaaa',linestyle='-')
plt.title("Daily temperature of 3 cities in the second week of December", size=14, fontweight='bold')
plt.legend(loc=(0.64,0.1))
plt.show()
numpy.nanmin、numpy.nanmax 解决了这个问题。
@
sww4718168 谢谢帮助，还有个问题如果要读取 data.root.daily.ST001，但是不能赋值 n=001。
加了 lang='chi_sim'就能识别中文了，不知道还有没有其他参数识别图片上某一个地方的。
谢谢各位，现在可以运行了，但是不能识别中文，可是 Tesseract-OCR 已经装了中文（ tessdata 文件夹了已经有 chi_sim.traineddata ）。
@
geelaw 我也想过使用数组，但数组名字不能一看到就知道是什么意思，有点不太方便。
@
param 谢谢，不过如果结果太多，后面的还是会覆盖前面的。
就是数组[ 0, 1, 2, 3, 6, 7, 8, 9, 10, 12, 14, 15, 16, 17, 18, 19, 23, 24, 27, 28, 29, 30]分割成[ 0, 1, 2, 3][6, 7, 8, 9, 10][12][14, 15, 16, 17, 18, 19][23, 24][27, 28, 29, 30]
不能修改帖子，只能在这里修改有错的代码：
arr = array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25,
26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51,
52, 69, 72, 73, 74, 75, 76, 77, 86, 97, 98, 100, 101,
102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 129,
130, 131, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152,
153, 154, 155, 156, 157, 158, 159, 160, 197, 198, 199, 200, 201,
202, 203, 204, 206, 207, 208, 209, 210, 216, 217, 218, 219, 220,
221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233,
234, 235, 236, 237, 239, 240, 241, 242, 243, 244, 259, 271, 272,
273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285,
286, 287, 288, 289, 290, 291, 292, 293, 294])
brr = np.append(arr,arr[-1] + 1) #使 brr 为 array([ 0, 1, 2, ......, 293, 294, 295])
crr = np.where(brr[1:] - arr != 1)
drr = []
k = 0
for i in crr:
drr.append(arr[k:i])
k = i
drr.append(arr[i:])
我的笨拙方法：
arr = array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25,
26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51,
52, 69, 72, 73, 74, 75, 76, 77, 86, 97, 98, 100, 101,
102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 129,
130, 131, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152,
153, 154, 155, 156, 157, 158, 159, 160, 197, 198, 199, 200, 201,
202, 203, 204, 206, 207, 208, 209, 210, 216, 217, 218, 219, 220,
221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233,
234, 235, 236, 237, 239, 240, 241, 242, 243, 244, 259, 271, 272,
273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285,
286, 287, 288, 289, 290, 291, 292, 293, 294])
brr = np.append(arr,arr[-1] + 1)
crr = np.where(brr[1:] - arr != 1)
drr = []
k = 0
for i in crr:
devi.append(arr[k:i])
k = i
devi.append(arr[i:])
Select Language