In: from einops import rearrange, reduce a = t.rand(16, 3, 64, 64) # batch × channel × height × weight # 转置操作 rearrange(a, 'b c h w -> b h w c').shapeOut:torch.Size([16, 64, 64, 3])In: # 融合部分维度 y = rearrange(a, 'b c h w -> b (h w c)') # ...
Rearranges the elements in the array in such a way that value of the element in kth position is in the position it would be in a sorted array. prod([axis, dtype, out, keepdims]) Return the product of the array elements over the given axis ptp([axis, out]) Peak to peak (maximum ...
The resulting array has one dimension since the size argument isn’t a tuple but a single integer. You’ll reshape this array into different configurations in the following sections of this tutorial.You want to rearrange the data so that each 24-hour period is in a separate row of the ...
该array模块提供的array()对象类似于仅存储同类数据的列表,并且更紧凑地存储它。以下示例显示了存储为两个字节无符号二进制数(typecode "H")的数字数组,而不是通常的Python int对象列表的每个条目通常16个字节: >>> >>> from array import array >>> a = array('H', [4000, 10, 700, 22222]) >>>...
>>>fromheapqimportheapify, heappop, heappush>>> data = [1, 3, 5, 7, 9, 2, 4, 6, 8, 0]>>> heapify(data)#rearrange the list into heap order>>> heappush(data, -5)#add a new entry>>> [heappop(data)foriinrange(3)]#fetch the three smallest entries[-5, 0, 1] ...
array模块提供了一种array()对象,它类似于列表,但只能存储类型一致的数据且存储密集更高。 下面的例子演示了一个以两个字节为存储单元的无符号二进制数值的数组 (类型码为"H"),而对于普通列表来说,每个条目存储为标准 Python 的 int 对象通常要占用16 个字节: ...
[29]: array([0, 1, 0, 0, 0, 1, 0, 0], dtype=int8) #你可将DataFrame的列通过分配转换结果,转换为分类: In [30]: df['fruit'] = df['fruit'].astype('category') In [31]: df.fruit Out[31]: 0 apple 1 orange 2 apple 3 apple 4 apple 5 orange 6 apple 7 apple Name: ...
Rearrange index levels using input order. DataFrame.sort_values(by[, axis, ascending, …]) Sort by the values along either axis DataFrame.sort_index([axis, level, …]) Sort object by labels (along an axis) DataFrame.nlargest(n, columns[, keep]) ...
# Rearrange the data for plotting In [58]: count_subset = count_subset.stack() In [59]: count_subset.name = 'total' In [60]: count_subset = count_subset.reset_index() In [61]: count_subset[:10] Out[61]: tz os total 0 America/Sao_Paulo Not Windows 13.0 1 America/Sao_Paulo...
When a pane is broken out of the main window, you can drag it around and rearrange it however you want. If you want to put the pane back in the main window, drag it with the mouse so a transparent blue or gray background appears and the neighboring panes resize, then let go and ...