# indent your Python code to put into an emailimportglob # glob supports Unix style pathname extensions python_files=glob.glob('*.py')forfile_nameinsorted(python_files):print(' ---'+file_name)withopen(file_name)asf:forlineinf:print(' '+line.rstrip())print() 运行结果: 太长,输出了该...
defrange_ratio(x):mean_median_difference = np.abs(np.mean(x) - np.median(x))max_min_difference = np.max(x) - np.min(x)ifmax_min_difference ==0:returnnp.nanelse:returnmean_median_difference / max_min_differencedefhas_duplicate_max(x)...
(data, ddof=1): """变异系数""" return std(data, ddof) / mean(data) def describe(data): """输出描述性统计信息""" print(f'均值: {mean(data)}') print(f'中位数: {median(data)}') print(f'极差: {ptp(data)}') print(f'方差: {var(data)}') print(f'标准差: {...
median = (data[mid - 1] + data[mid]) / 2 else: median = data[mid] print('这组数据中位数为:{:.2f}'.format(median)) 5. 打印九九乘法表 代码语言:txt AI代码解释 for i in range(1, 10): for j in range(1, i+1): num = j * i print("{}*{}={:<2}".format(j, i, nu...
print(json.dumps(data, indent=2)) { "dataset": { "dataset_code": "M550_SALES", "column_names": [ "Date", "Value" ], "newest_available_date": "2016-06-30", "description": "The Zillow Home Value Index is Zillow's estimate of the median market value of home sales (nsa) within...
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n =10foriinrange(1000):# loc表示均值,scale表示标准差,size表示生成随机数数量d = np.random.normal(loc=50, scale=10, size=n) x.append(np.mean(d)) m.append(np.median(d))# np.var计算方差,ddof表示自由度,默认为0,表示总体方差;ddof=1时,表示样本方差;v.append(np.var(d, ddof=1))print...
importrequestsimportnumpyasnpimportsys# ^ 阿里云OSS读取数据集文件content = requests.get("https://xiaonenglife.oss-cn-hangzhou.aliyuncs.com/static/cnblogs/2020_3/iris.data")ifcontent.status_code !=200:print("不成功") sys.exit()# ^ 退出程序f =open('iris.data','w') ...
(numbers) - 1), 0.5) def median(numbers): # 计算中位数 sorted(numbers) size = len(numbers) if size % 2 == 0: med = (numbers[size // 2 - 1] + numbers[size // 2]) / 2 else: med = numbers[size // 2 ] return med n = getNum() # getNum()函数也可以换成一组数字列表...
# 方差计算total=0forvalueindata:total+=(value-average)**2stddev=(total/len(data))**0.5print('这组数据方差为:{:.2f}'.format(stddev))# 中位数计算data.sort()# 从小到大排序mid=len(data)//2# 找中位数的索引iflen(data)%2==0:median=(data[mid-1]+data[mid])/2else:median=data[mid...