摘要： # coding: utf-8 # In[1]:import osimport numpy as npfrom skimage import color, data, transform, io # In[34]: import tensorflow as tfimport numpy as np 阅读全文

摘要： import osimport kerasimport timeimport numpy as npimport tensorflow as tffrom random import shufflefrom keras.utils import np_utilsfrom skimage import 阅读全文

摘要： import osimport numpy as npimport matplotlib.pyplot as pltfrom skimage import color,data,transform,io labelList = os.listdir("F:\\MachineLearn\\ML-xia 阅读全文

摘要： import osimport numpy as npimport matplotlib.pyplot as pltfrom skimage import color,data,transform,io labelList = os.listdir("F:\\MachineLearn\\ML-xia 阅读全文

摘要： import pandas as pd data = pd.read_csv("F:\\python3_pachongAndDatareduce\\data\\pandas data\\hz_weather.csv")print(data.head())a = data.stack()print(a 阅读全文

摘要： import time print(time.time())print(time.localtime())print(time.strftime('%Y-%m-%d %X',time.localtime())) 绘图显示中文配置 import matplotlib.pyplot as plt a = 阅读全文

摘要： import cv2 cv2.namedWindow("frame")cap = cv2.VideoCapture(0)while(cap.isOpened()): ret, img = cap.read() if ret == True: cv2.imshow("frame", img) k = 阅读全文

摘要： import cv2 cv2.namedWindow("ShowImage1")cv2.namedWindow("ShowImage2")image1 = cv2.imread("F:\\pythonBase\pythonex\\ch10\\media\\img01.jpg")#image1 = c 阅读全文

摘要： import pandas as pd df = pd.DataFrame( {"林大明":[65,92,78,83,70], "陈聪明":[90,72,76,93,56], "黄美丽":[81,85,91,89,77], "熊小娟":[79,53,47,94,80] } )print(df) im 阅读全文

摘要： import os from win32com import client word = client.gencache.EnsureDispatch('Word.Application')word.Visible = 1word.DisplayAlerts = 0doc = word.Docume 阅读全文