示例2:按固定大小进行分割 defsplit_list(data,chunk_size):"""按指定大小分割列表"""return[data[i:i+chunk_size]foriinrange(0,len(data),chunk_size)]# 示例数据data=[1,2,3,4,5,6,7,8,9,10]# 分割result=split_list(data,3)print("分割结果:",result) 1. 2. 3. 4. 5. 6. 7. 8....
In the above code, we were dealing with a string containing an even number of characters. Thelen()function here is used to return the length of the string. We split the string into one half containing the first half of the characters and the second substring containing the other half. ...
>>>clothes=['skirt','red sock']>>>forclothinginclothes:# Iterate over the list...if'sock'inclothing:# Find stringswith'sock'...clothes.append(clothing)# Add the sock's pair...print('Added a sock:',clothing)# Inform the user...Added a sock:red sock Added a sock:red sock Added ...
for word in sorted(index, key=str.upper): print(word, index[word]) ① 使用list构造函数创建一个defaultdict作为default_factory。 ② 如果word最初不在index中,则调用default_factory来生成缺失值,这种情况下是一个空的list,然后将其分配给index[word]并返回,因此.append(location)操作总是成功的。 如果没有...
text = (yield)ifsubstringintext:print('Oh no: I found a %s again!'% (substring))exceptGeneratorExit:print('Ok, ok: I am quitting.') 我们先定义个一个协程,它就是一个函数,名字是complain_about,它有一个参数:一个字符串。打印一句话之后,进入一个无限循环,由try except控制退出,即只有通过异常才...
return:"""i_half=len(a_list)//2returna_list[:i_half],a_list[i_half:]fig,axs=plt.subplots(ncols=3)fig.suptitle('可填充的标记符号',fontsize=14)# 获取可填充的标记符号,并使用指定的样式来绘制符号forax,markersinzip(axs,split_list(Line2D.filled_markers)):fory,markerinenumerate(markers)...
print(numpy.split(arr1,4,axis=1)) print(numpy.split(arr1,4,axis=0)) 1. 2. 3. 4. 5. 文件写入姓名(open(r'e:\temp\name.txt','a')as f:) 3. 向c:\test\name.txt内写入你的姓名,如果文件不存在创建文件,存在则追加内容,要求使用with实现文件写入。
>>>clothes = ['skirt','red sock']>>>forclothinginclothes:# Iterate over the list...if'sock'inclothing:# Find strings with 'sock'...clothes.append(clothing)# Add the sock's pair...print('Added a sock:', clothing)# Inform the user... Added ...
我们首先比较文本的第一个字符,即a,和模式的字符。在这里,模式的初始五个字符匹配,最后一个字符不匹配。由于不匹配,我们进一步将模式向右移动一个位置。我们再次开始逐个比较模式的第一个字符和文本字符串的第二个字符。在这里,文本字符串的字符c与模式的字符a不匹配。由于不匹配,我们将模式向右移动一个位置,如前面...
dataset = pd.get_dummies(df, columns = ['sex', 'cp','fbs','restecg','exang', 'slope','ca', 'thal'])from sklearn.model_selection import train_test_splitfrom sklearn.preprocessing import StandardScalerstandardScaler = StandardScaler()columns_to_scale = ['age', 'trestbps', 'chol', ...