importnumpyasnpdeffind_index_with_numpy(array,value):indices=np.where(array==value)[0]iflen(indices)>0:returnindices[0]else:return-1# 示例my_array=np.array([1,2,3,4,5])value=4index=find_index_with_numpy(my_array,
# 示例数组my_list=[10,20,30,20,40,20]# 要查找的元素element_to_find=20# 获取所有 20 的索引indexes=[indexforindex,valueinenumerate(my_list)ifvalue==element_to_find]print(f"元素{element_to_find}的所有索引为:{indexes}") 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 输出结果 元素20 的所...
jobs_index = [] for job_ in all_jobs: job_link= base_boss_url + job_.a["href"] job_title = job_.a.text job_salary = job_.find('span',class_='red').text other_detail = job_.find("div", class_="info-detail").text company_url = base_boss_url + job_.select(".info-co...
Return sends a specified value back to its caller whereas Yield can produce a sequence of values. We should use yield when we want to iterate over a sequence, but don't want to store the entire sequence in memory. import sys # for example when reading a large file, we only care about...
9. 数组找到满足一个条件或多个的数据(python numpy find data that satisfty one or multiple conditions) 10. 数组中所有元素相乘(python numpy multiple every element in an array) 内容: 1. 数组每一行除以这一行的总数(numpy divide row by row sum) ...
image = imread('../images/pyramids2.jpg') image_gray = rgb2gray(image) coordinates = corner_harris(image_gray, k =0.001) coordinates[coordinates > 0.03*coordinates.max()] = 255 # threshold for an optimal value, depends on the image corner_coordinates = corner_peaks(coordinates) coordinates_...
Console.WriteLine("Result: --- " + lists.Values.FindIndex(FindValue) + " ---"); Console.WriteLine("將所有資料列出"); int idx = 0; Action<ValueClass> ListAll = delegate(ValueClass obj) { Console.WriteLine(string.Format("第 {0} 個的Value值為 {1}", idx, obj.Value)); idx++;...
amplitude_split=np.array(amplitude, dtype=np.int).reshape((traceno,samplesno)) print(amplitude_split) #find max value of trace max_amp=np.amax(amplitude_split,1) print(max_amp) #find index of max value ind_max_amp=np.argmax(amplitude_split, axis=1, out=None) #print(ind_max_amp) ...
items(): print(f"{key}: {value}") 字典的长度 使用len() 函数获取字典中键值对的数量。 print(len(my_dict)) # 输出字典中的项数 清空字典 使用.clear() 方法删除字典中的所有项。 my_dict.clear() 六.集合(Set) 集合(Set)是 Python 中一个非常有用的数据结构,它类似于数学上的集合概念,提供了...
In [47] census.loc[:,["age","marital-status"]].value_counts() age marital-status 23 Never-married 717 20 Never-married 695 19 Never-married 681 22 Never-married 651 21 Never-married 651 ... 67 Married-spouse-absent 1 73 Married-spouse-absent 1 82 Never-married 1 83 Divorced 1 22...