except Exception: # 比这更好的是用 ValueError print("Not a number, try again")5、函数参数使用可变对象 如果函数参数使用可变对象，那么下次调用时可能会产生非预期结果，坏的做法 def mutable_default_arguments():def append(n, l=[]):l.append(n)return l l1 = append(0) # [0]l2 = append(1)...
return (os.path.join(folder, f) for f in os.listdir(folder) if jpeg in f) def create_thumbnail(filename): im = Image.open(filename) im.thumbnail(SIZE, Image.ANTIALIAS) base, fname = os.path.split(filename) save_path = os.path.join(base, SAVE_DIRECTORY, fname) im.save(save_p...
importosimportPILfrommultiprocessingimportPoolfromPILimportImageSIZE=(75,75)SAVE_DIRECTORY='thumbs'defget_image_paths(folder):return(os.path.join(folder,f)forfinos.listdir(folder)if'jpeg'inf)defcreate_thumbnail(filename):im=Image.open(filename)im.thumbnail(SIZE,Image.ANTIALIAS)base,fname=os.path....
posterior_over_33, err2 = sp.integrate.quad(beta_pdf,0.33,1, args=args)print("Posterior probability", posterior_over_33)# 0.13686193416281017 我们可以看到,根据更新后的后验分布,新的概率为 13%,而不是先前的 3%。这是一个显著的差异,尽管我们仍然不能确定在给定这些值的情况下转化率是否高于 33%。...
result_bp_test[2]white_F_pval = result_bp_test[3]white_test_output = pd.Series(result_bp_test[0:4],index = ['white_lm_statistic','white_lm_pval','white_F_statistic','white_F_pval'])return white_test_outputwhite_test_output = white_test(results.resid,reg.exog)print(white_test_...
# 导入easyocrimporteasyocr# 创建reader对象,参数为要识别的目标语言的列表,ch_sim代表中文# 如识别中英文混合,则参数可设置为['ch_sim','en']reader=easyocr.Reader(['ch_sim','en'])# 读取图像result=reader.readtext('03.jpg')print(result) ...
exc =Nonefor_inrange(3):try:returnfunc(*args, **kwargs)exceptExceptionasexc:print("Exception raised while calling %s with args:%s, kwargs: %s. Retrying"% (func, args, kwargs).raiseexcreturnretried_function@retrydefdo_something_risky(): ...
Series是一种类似于一维数组的对象,它由一组数据(不同数据类型)以及一组与之相关的数据标签(即索引)组成。 1.1 仅有数据列表即可产生最简单的Series In [2]: 代码语言:javascript 代码运行次数:0 运行 复制 s1 = pd.Series([1,'a',5.2,7]) In [3]: 代码语言:javascript 代码运行次数:0 运行 复制 # ...
Here's an example of 2 positional arguments being passed to the print function along with a keyword argument named sep: print("first", "second", sep="-"). Return value A "return value" is a value that a function passes to the code that called it as the function completes. The word...
return f"color:{color}" students = pd.read_excel(r"E:\PandasVersusExcel\source\24Students.xlsx") # 无差别的识别在显示区域 students.style.applymap(low_score_red,subset=["Test_1","Test_2","Test_3"]) 1. 2. 3. 4. 5. 6.