random_state :int or numpy.random.RandomState, optional 用于随机数生成器(如果是int类型的参数)或numpy RandomState对象的种子。 Seed for the random number generator (if int), or numpy RandomState object. axis :{0 or ‘index’, 1 or ‘columns’, None}, default None 采样的轴。可以是axis的编号...
To get random samples of a DataFrame, useDataFrame.sample(n=None,frac=None,replace=False,weights=None,random_state=None,axis=None,ignore_index=False)method, where n:int, optional Number of items from axis to return. Cannot be used withfrac. Default = 1 iffrac= None. frac:float, optional...
random_state: int or numpy.random.RandomState, optional Seed for the random number generator (if int), or numpy RandomState object. axis: int or string, optional Axis to sample. Accepts axis number or name. Default is stat axis for given data type (0 for Series and DataFrames, 1 for Pa...
DataFrame({ 'key1': ['A', 'B', 'C', 'A', 'B', 'C'], 'key2': ['foo', 'bar', 'foo', 'bar', 'foo', 'foo'], 'data1': np.random.randn(6), 'data2': np.random.randn(6) }) # 自定义函数,用于计算分组后的统计信息 def stats(group): return { 'min': group.min(...
random.randn(6) }) # 自定义函数,用于计算分组后的统计信息 def stats(group): return { 'min': group.min(), 'max': group.max(), 'mean': group.mean(), 'sum': group.sum() } #对 key1 和 key2 列进行分组,并应用函数 result = df.groupby(['key1', 'key2'])['data1', 'data2...
random_state Seed for the random number generator (if int), or numpy RandomState object. int or numpy.random.RandomState,Optional axisAxis to sample. Accepts axis number or name. Default is stat axis for given data type (0 for Series and DataFrames).int or stringOptional ...
Did you notice the NumPy function you used with the variablerng? By specifying a seed for the random-number generator, you get the same result each time. This can be a useful trick when you need to produce pseudo-random output that must be replicable by others. (Go ahead and re-run th...
Seed for the random number generator (if int), or numpy RandomState object. axis: int or string, optional Axis to sample. Accepts axis number or name. Default is stat axis for given data type (0 for Series and DataFrames, 1 for Panels). ...
它是一个一维类似 ndarray 的对象,仅存储与 `fill_value` 不同的值: ```py In [13]: arr = np.random.randn(10) In [14]: arr[2:5] = np.nan In [15]: arr[7:8] = np.nan In [16]: sparr = pd.arrays.SparseArray(arr) In [17]: sparr Out[17]: [-1.9556635297215477, -...
random生成数组使用NumPy的random模块可以生成各种类型的随机数组,如整数数组、浮点数数组、多维数组等。...Series Series是Pandas中的一种数据结构,类似于一维的数组或列表。它由两个部分组成:索引和数据值。索引是Series中数据的标签,它可以是整数、字符串或其他数据类型。...缺失值处理:可以使用Pandas提供的函数来处...