Python 单元测试详解 本文直接从常用的Python单元测试框架出发,分别对几种框架进行了简单的介绍和小结,然后介绍了 Mock 的框架,以及测试报告生成方式,并以具体代码示例进行说明,最后列举了一些常见问题。 一、常用 Python 单测框架 若你不想安装或不允许第三方库,那么unittest是最好也是唯一的选择。反之,pytest无疑是最佳
insert – insert a row into a database table Y - update – update a row in a database table Y - upsert – insert a row with conflict resolution Y - query – execute a SQL command string Y - query_formatted – execute a formatted SQL command string Y - query_prepared – execute a...
string.count('x'): 这将返回字符串中'x'的出现次数 string.find('x'): 这将返回字符串中字符'x'的位置 string.lower(): 这将把字符串转换为小写 string.upper(): 这将把字符串转换为大写 string.replace('a', 'b'): 这将用b替换字符串中的所有a 此外,我们可以使用len()方法获取字符串中字符的数...
数据可视化：matplotlib、seaborn、bokeh、pyecharts 数据报表：dash 以python操作excel为例，使用xlwings生成...
Returns a matrix from an array-like object, or from a string of data. asmatrix(data[, dtype]) Interpret the input as a matrix. bmat(obj[, ldict, gdict]) Build a matrix object from a string, nested sequence, or array. 1.
2.index()功能和 find() 类似，若未找到直接报错 str1 = "1234567890qwertyuiJKLFKJFmjfFKPJFMNBKDJ...
Now remember, in Python, indexes start at zero. 因此,为了能够查看该列表的第一个元素,我需要将其放入索引0,位置0。 So for me to be able to look at the first element of that list,I need to put in index 0, position 0. 在这里,Python告诉我第一个对象, ...
DataFrame.insert(loc, column, value) #在特殊地点loc[数字]插入column[列名]某列数据 DataFrame.iter() #Iterate over infor axis DataFrame.iteritems() #返回列名和序列的迭代器 DataFrame.iterrows() #返回索引和序列的迭代器 DataFrame.itertuples([index, name]) #Iterate over DataFrame rows as namedtuple...
Functionally, this is the same as writing it all out as one single string:r"\[(.+)\] [-T:+\d]{25} : (.+)". Organizing your longer regex patterns on separate lines allow you to break it up into chunks, which not only makes it more readable but also allow you to insert comment...
Example: def some_func(default_arg=None): if default_arg is None: default_arg = [] default_arg.append("some_string") return default_arg▶ Catching the Exceptionssome_list = [1, 2, 3] try: # This should raise an ``IndexError`` print(some_list[4]) except IndexError, ValueError:...