bottleneck模块是快速的 numpy 方法的编译。该模块具有move_mean()函数,该函数可以返回某些数据的滑动平均值。 例如, importbottleneckasbnimportnumpyasnpdefrollavg_bottlneck(a,n):returnbn.move_mean(a,window=n,min_count=None)data=np.array([10,5,8,9,15,22,26,11,15,16,18,7])print(rollavg_bottl...
bottleneck模块是快速的 numpy 方法的编译。该模块具有move_mean()函数,该函数可以返回某些数据的滑动平均值。 例如, importbottleneckasbnimportnumpyasnpdefrollavg_bottlneck(a, n):returnbn.move_mean(a, window=n, min_count=None)data=np.array([10,5,8,9,15,22,26,11,15,16,18,7])print(rollavg_...
然后创建一个具有1000行和10列的2D NumPy数组,其值为随机值。 接下来,使用Bottleneck的move_mean函数来计算数组中每行的移动平均值。window参数指定每个移动平均值计算中要使用的值的数量,axis参数指定沿哪个轴计算移动平均值(在这种情况下,我们为每行计算它,因此设置axis=1)。 最后,打印出结果的移动平均值数组。这...
我认为应该是x 只是想补充一下,如果熊猫似乎太重而不能作为依赖项,则移动平均函数已提取到Bottleneck库中。 Rolling_mean不再是pf熊猫的一部分,请参阅使用Rolling代替的回复 一种简单的方法是使用np.convolve。 其背后的想法是利用离散卷积的计算方式,并使用它来返回滚动平均值。这可以通过对长度等于我们想要的滑动窗...
我现在的问题是这个情节不太可读。因此我希望事先平滑数据。为此我有这个小功能: def mov_avg(x,window,min_count=None,axis=-1):importbottleneckasbn yy=np.ma.filled(np.ma.fix_invalid(x),np.nan) yyF=np.ma.masked_all(yy.shape) xtmp=bn.move_mean(yy,window,min_count=min_count,axis=axis) ...
def mov_avg(x,window,min_count=None,axis=-1):importbottleneckasbn yy=np.ma.filled(np.ma.fix_invalid(x),np.nan) yyF=np.ma.masked_all(yy.shape) xtmp=bn.move_mean(yy,window,min_count=min_count,axis=axis) wd1=(window-1)/2ndim = len(yy.shape)#print xtmp.shape,ndim,axis,window...
Programmers may incorrectly predict where in their code a bottleneck will appear, spending hours trying to fully vectorize an operation that would result in a relatively insignificant improvement in runtime. There’s nothing wrong with for loops sprinkled here and there. Often, it can be more ...
However, for small classes with known attributes it might be a bottleneck. Thedictwastes a lot of RAM. Python can't just allocate a static amount of memory at object creation to store all the attributes. Therefore it sucks a lot of RAM if you create a lot of objects. The usage of__...
问Python -如何平滑xarray图？EN上述步骤通常会产生很大的nc文件(>10G)，尤其是在处理大量数据时。最近...
That’s why many companies rewrite their applications in another language once Python’s speed becomes a bottleneck for users. But what if there was a way to keep Python’s awesome features and improve its speed? Enter PyPy.PyPy is a very compliant Python interpreter that is a worthy ...