python求列表中最接近均值的那个数 用Python怎么求一组数的平均值
python\u600e\u4e48\u6c42\u5217\u8868\u7684\u5e73\u5747\u503c\u5f53\u5217\u8868list\u4e2d\u53ea\u5305\u542b\u6570\u5b57\u65f6\uff0c\u5982\u4f55\u6c42\u53d6\u5b83\u7684\u5e73\u5747\u6570\uff1a
from numpy import *
a = [52,69,35,65,89,15,34]
b = mean(a)
print(b)1234
\u8fd0\u884c\u7ed3\u679c:
51.285714285714285
>>> l=[1, 2, 3, 4, 5, 4,3,2,1] #\u8f93\u5165\u6570\u5b57\u5230\u6570\u7ec4\u4e2d>>> sum(l)/len(l) #\u6c42\u5e73\u5747\u65702.7777777777777777>>> "{:.3f}".format(sum(l)/len(l)) #\u6c42\u5e73\u5747\u6570\uff0c\u4fdd\u75593\u4f4d\u5c0f\u6570'2.778'
#encoding: utf-8
lst = [1, 6, 100, 200, 300]
lst.sort()
data = set(lst) # 先排序在去重.为了下面迭代判断
average = sum(lst) / len(lst) # 获得平均值
for index, num in enumerate(lst):
# 思路是依次拿平均值来做减法比较
if abs(average - num) > abs(average - (lst[index + 1])):
continue
else: # 当上一个相减的值比下一个大的时候, 就是我们要的值
print "平均值为: ",average
print "最近均值为: ", num
break
nums = [1, 2, 2.4, 3, 4]
ave = sum(nums) / len(nums)
n_deltas = {abs(n - ave): n for n in nums}
nearest = n_deltas[min(n_deltas.keys())]
print(nearest) # 2.4
绛旓細鏈绠鍗曠殑鏂规硶灏辨槸浣跨敤Python鍐呯疆鐨勫嚱鏁癿ean()锛岃繖涓嚱鏁版槸statistics妯″潡涓殑涓閮ㄥ垎锛屽畠鍙互璁＄畻涓涓簭鍒楃殑绠楁湳骞冲潎鍊笺備緥濡傦細import statistics seq=[1,2,3,4,5]avg=statistics.mean(seq)print(avg)鎵ц缁撴灉鏄3.0 2銆佷娇鐢∟umpy搴 闄や簡Python鑷甫鐨勫嚱鏁帮紝鎴戜滑杩樺彲浠ヤ娇鐢ㄧ涓夋柟搴揘umpy鏉璁＄畻骞冲潎鍊銆侼mu...
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绛旓細3銆佸彲浠ュ畾涔変竴涓暟缁勶紝python娌℃湁鍐呯疆avg锛堬級鏂规硶锛屼絾鍗存湁姹傚拰鍑芥暟sum锛堬級锛屾垜浠眰寰楁诲拰鍚庯紝鐢ㄨ繖涓暟闄や互鏁扮粍鐨勯暱搴︼紝灏辨槸骞冲潎鏁颁簡銆4銆佺敤涓涓鍒楄〃瀛樺叆杈撳叆鐨刵涓暟锛岀劧鍚庣畻涓涓嬶紝浣犳病鏈夎鏄粈涔堢被鍨嬬殑鏁帮紝鍋囧畾浣犺鐨勬槸鏁存暟锛岃緭鍏ョ殑鏍煎紡鏄┖鏍奸殧寮锛岃緭鍑骞冲潎鍊浣犳病鏈夎鏁存暟杩樻槸灏忔暟锛屽皬鏁版槸鍑犱綅灏忔暟...
绛旓細鍙互瀹氫箟涓や釜鍑芥暟锛屼竴涓嚱鏁拌幏寰楄緭鍏ョ殑鏁板瓧锛屼竴涓敤浜庡嚱鏁版眰杈撳叆鏁板瓧鐨勫钩鍧囧硷紝鍏蜂綋姹傚钩鍧囧鐨勪唬鐮佸涓嬶紝甯屾湜鑳藉甯姪浣犮傛眰鏁板瓧鐨勫钩鍧囧
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绛旓細鎬濊矾鏄帴鏀惰緭鍏ョ殑瀛楃涓诧紝浠ョ┖鏍间负鍒嗛殧绗︼紝灏嗗垎鍓茬殑鏁版嵁瀛樺叆鍒楄〃(lst1)涓紝灏唋st1涓殑鏁版嵁杞瓨鍏ュ彟涓涓┖鍒楄〃(lst)涓紝杞瓨鏃跺皢瀛楃涓茶浆鍖栦负鏁村瀷锛屼粠鑰屽埄鐢ㄥ嚱鏁版眰鍑簂st涓暟鐨勫拰銆佸钩鍧囧笺俻rint("---姹傚钩鍧囧锛屽彲杈撳叆浠绘剰澶氫釜鏁---")lst = [] #瀹氫箟涓涓┖鍒楄〃 str = raw_input("璇疯緭鍏ユ暟...
绛旓細i 锛 0 while i <= len(lst1)+1:lst锛巃ppend锛坕nt锛坙st1锛巔op锛堬級锛夛級锛冨皢lst1鐨勬暟鎹浆鎹负鏁村瀷骞惰祴鍊肩粰lst i 锛嬶紳 1 锛僷rint锛坙st锛塪ef sum锛坙ist锛夛細锛傚鍒楄〃鐨勬暟鍊兼眰鍜岋紓s 锛 0 for x in list锛歴 锛嬶紳 x return s def average锛坙ist锛夛細锛傚鍒楄〃鏁版嵁姹傚钩鍧囧锛俛vg 锛 0 avg ...
绛旓細pythonscores=[]#瀛樺偍瀛︾敓鎴愮哗鐨鍒楄〃n= int(input("璇疯緭鍏ュ鐢熺殑浜烘暟: ")) #杈撳叆瀛︾敓鐨勪汉鏁#杈撳叆姣忎釜瀛︾敓鐨勬垚缁ゝor i in range(n): score = float(input("璇疯緭鍏ョ%d涓鐢熺殑鎴愮哗:" % (i+1))) scores.append(score)# 璁＄畻鎴愮哗鐨骞冲潎鍊total=sum(scores)average=total/n#杈撳嚭鎴愮哗鐨勫钩鍧囧...
绛旓細鍙互瀹氫箟涓涓暟缁勶紝python娌℃湁鍐呯疆avg锛堬級鏂规硶锛屼絾鍗存湁姹傚拰鍑芥暟sum锛堬級锛屾垜浠眰寰楁诲拰鍚庯紝鐢ㄨ繖涓暟闄や互鏁扮粍鐨勯暱搴︼紝灏辨槸骞冲潎鏁颁簡銆傚弬鑰冧唬鐮侊細num_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]total = sum(num_list)length = len(num_list)avg = total/lengthprint(f'骞冲潎鏁颁负{avg}')...
绛旓細sum = num1 + num2 + num3 ave = sum / 3 return ave print(calc(1, 2, 3)) # 2.0 print(calc(5, 10, 15)) # 10.0 ```杩欎釜鍑芥暟瀹氫箟浜嗕笁涓弬鏁 num1銆乶um2鍜宯um3,鍒嗗埆浠ｈ〃涓変釜杈撳叆鐨勬暟瀛椼傚嚱鏁伴鍏璁＄畻涓変釜鏁扮殑鍜宻um,鐒跺悗閫氳繃sum闄や互3姹傚緱骞冲潎鍊ave銆傛渶鍚庤繑鍥瀉ve,浣滀负鍑芥暟...
