# importing pandas module import pandas as pd # importing numpy module import numpy as np # creating series 1 series1 = pd.Series([11, 0, 2, 43, 9, 27, np.nan, 10, np.nan]) # creating series 2 series2 = pd.Series([16, np.nan, 2, 23, 5, 40, 54, 3, 19]) # NaN ...
# importing pandas module import pandas as pd # importing numpy module import numpy as np # creating series 1 series1 = pd.Series([11, 0, 2, 43, 9, 27, np.nan, 10, np.nan]) # creating series 2 series2 = pd.Series([16, np.nan, 2, 23, 5, 40, 54, 3, 19]) # NaN rep...
ma模块最主要的功能是MaskedArray类,它是numpy.ndarray的子类。关于这个类的属性和方法,可以通过看MaskedArray class来获取更多的细节。 简单来说,numpy.ma可以看做是numpy的补充: importnumpy as npimportnumpy.ma as ma 如果要构造一个第二个元素是非法元素的数组,我们可以这样写: y=ma.array([1,2,3],mask=...
matplotlib是Python编程语言及numpy库的可视化操作界面。它为通用的图形用户界面(GUI)提供了应用程序接口(API),常用的GUI工具包有Tkinter,wxPython,Qt、GTK+。 2、Ndarray对象 numpy最重要的特点是Ndarray对象,Ndarray对象即N维数组对象,它是一系列同类型数据的集合,以0为下标开始进行集合中元素的索引。 特性 1)元素为...
class Net(nn.Module):#a LeNet model def __init__(self): super(Net,self).__init__() #input[N,1,28,28] self.conv1 = nn.Conv2d(1,6,1)#[N,6,28,28] self.avepool = nn.AvgPool2d(2,2)#1.[N,6,14,14];2.[N,16,5,5] ...
affective visual journal using deep neural networks for NLP and image synthesis (Python, Tensorflow, Keras, NumPy, Scikit-Learn) - xaliceli/lemotif
class LeNet(nn.Module): def __init__(self): super(LeNet, self).__init__() # 第一层卷积 self.conv_1 = nn.Conv2d(3, 6, (5, 5), stride=1, padding=0) # 第二层池化 self.pool_1 = nn.AvgPool2d(kernel_size=(2, 2), stride=2, padding=0) ...
git clone https://github.com/ivanyu/idx2numpy.git python setup.py install Usage importidx2numpy# Readingndarr=idx2numpy.convert_from_file('myfile.idx')f_read=open('myfile.idx','rb')ndarr=idx2numpy.convert_from_file(f_read)s=f_read.read()ndarr=idx2numpy.convert_from_string(s...
npimg = img.numpy() # np.transpose 交换坐标轴,即将图片色素进行坐标翻转 plt.imshow(np.transpose(npimg, (1, 2, 0))) 第五步,定义LeNet网络 # 定义LeNet网络 classLeNet(nn.Module): def __init__(self): super(LeNet, self).__init__() ...
(1)激活环境python37-12deepnetwork: activate python37-12deepnetwork 1. (2)进入python:python (3)测试numpy:import numpy (4)测试pytorch: import torch import torchvision print(torch.version) (5)如果成功打印,测试成功,使用exit()退出python (6)关闭虚拟环境: ...