>>> for n in range(-21, 30, 3): print('{:3d} => {:3d}'.format(n, round_to_nearest(n, 5))) -21 => -20 -18 => -20 -15 => -15 -12 => -10 -9 => -10 -6 => -5 -3 => -5 0 => 0 3 => 5 6 => 5 9 => 10 12 => 10 15 => 15 18
round(10):rounds the integer to10 round(10.7):rounds the float10.7to nearest integer,11. round(5.5):rounds the float5.5to6. Example 2: Round a number to the given number of decimal places print(round(2.665,2))print(round(2.675,2)) Run Code Output 2.67 2.67 When the decimal2.675is con...
>>> Decimal('-1.234').quantize(Decimal('.00'), rounding=ROUND_UP) Decimal('-1.24') 1. 2. 3. 4. 5. 6. ROUND HALF DOWN 就近舍入,如果与两边的数距离相等,向0方向舍入。( Round to nearest with ties going towards zero. ) >>> Decimal('1.235').quantize(Decimal('.00'), rounding=RO...
"Round down," while similar, is not the same. As the name implies, Round Down reduce a number to the nearest lower integer. For example - Original value Value after Round Down 10.2 10 5.23 5 The above table is an overview of how rounding down values works. You might be wondering,...
print(round(2.5)) # 2 (rounds to even) print(round(3.5)) # 4 (rounds to even) print(round(4.5)) # 4 (rounds to even) print(round(5.5)) # 6 (rounds to even) print(round(-2.5)) # -2 print(round(-3.5)) # -4 Bankers rounding rounds 0.5 cases to the nearest even number. ...
我最开始其实是由于疑惑ROUND_FLOOR和 ROUND_DOWN的表现区别才看了一波文档,但是感觉拉出一票以前没有留意过的东西。 贴一个decimal文档里面的解释: ROUND_CEILING (towards Infinity), ROUND_DOWN (towards zero), ROUND_FLOOR (towards-Infinity), ROUND_HALF_DOWN (to nearest with ties going towards zero), ...
open 51. ord # 返回ascii的字符对应的10进制数 ord(‘a’) 返回97, 52. print 53. property #⾯向对象时⽤,现在忽略 54. quit 55. range 56. repr #没什么⽤ 57. reversed # 可以把⼀个列表反转 58. round #可以把⼩数4舍5⼊成整数 ,round(10.15,1) 得10.2 59. set 60. setattr ...
Round to nearest, ties away from zero – rounds to the nearest value; if the number falls ...
Write a Python program that can be configured to round to the nearest - with ties going towards 0 and ties going away from 0. Use decimal.ROUND_HALF_DOWN, decimal.ROUND_HALF_UP Click me to see the sample solution 6. Round to Nearest Even (Bankers' Rounding) ...
im = mpimg.imread("../images/lena_small.jpg") # read the image from disk as a numpy ndarray methods = ['none', 'nearest', 'bilinear', 'bicubic', 'spline16', 'lanczos'] fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(15, 30), subplot_kw={'xticks': [], 'yticks': ...