def cumsum(self, axis=None, dtype=None, out=None): # real signature unknown; restored from __doc__ """ a.cumsum(axis=None, dtype=None, out=None) Return the cumulative sum of the elements along the given axis. Refer to `numpy.cumsum` for full documentation. See Also --- numpy....
axis: int, optional可选参数 Axis along which the cumulative sum is computed. The default (None) is to compute the cumsum over the flattened array. dtype: dtype, optional可选,平台默认是整型 Type of the returned array and of the accumulator in which the elements are summed. If dtype is not...
sum()中还有一个参数是keepdims,默认值是False。如果我们想让返回结果的维度数(ndim)和输入相同,把keepdimes设置为True就可以了,sum()返回结果就变成了:返回结果的shape和输入差不多,只是axis那一维度值为1。 总结: numpy.sum()函数的计算原理是Sum of array elements over a give dimension. It returns an a...
np.sum np.nansum Compute sum of elements np.prod np.nanprod Compute product of elements np.mean np.nanmean Compute mean of elements np.std np.nanstd Compute standard deviation np.var np.nanvar Compute variance np.min np.nanmin Find minimum value np.max np.nanmax Find maximum value np.ar...
any() 有True返回True all() 有False返回False 3. 其他聚合操作 Function Name NaN-safe Version Description np.sum np.nansum Compute sum of elements np.prod np.nanprod Compute product of elements np.mean np.nanmean Compute mean of elements ...
np.sum np.nansum Compute sum of elements np.prod np.nanprod Compute product of elements np.mean np.nanmean Compute mean of elements np.std np.nanstd Compute standard deviation np.var np.nanvar Compute variance np.min np.nanmin Find minimum value ...
dev. of 7 runs, 1000 loops each) 对于多维数组,可以指定计算的方向,默认为所有的数据。 axis=0 行方向 axis=1 列方向其他聚合函数Function NameNaN-safe VersionDescription np.sum np.nansum Compute sum of elements np.prod np.nanprod Compute product of elements np.mean np.nanmean Compute mean of ...
| np.sum | np.nansum | Compute sum of elements | | np.prod | np.nanprod | Compute product of elements | | np.mean | np.nanmean | Compute mean of elements | | np.std | np.nanstd | Compute standard deviation | | np.var | np.nanvar | Compute variance | ...
默认情况下,每个 NumPy 聚合函数将返回整个数组的聚合结果。要找到数组中元素的和或最小值,运行: 代码语言:javascript 代码运行次数:0 复制Cloud Studio 代码运行 >>> a.sum() 4.8595784 或者: 代码语言:javascript 代码运行次数:0 复制Cloud Studio 代码运行 >>> a.min() 0.05093587 你可以指定要计算聚合...
np.sum 返回数组所有值沿指定轴的总和 np.amin 返回数组所有值或沿指定轴的最小值 np.amax 返回数组所有值或沿指定轴的最大值 np.percentile 返回数组所有值或沿指定轴的第 n 个的给定百分数 np.nanmin 与np.amin相同,但忽略数组中的 NaN 值 np.nanmax 与np.amax相同,但忽略数组中的 NaN 值 np.nanperce...