Python绘制并保存指定大小图像的方法

import matplotlib.pyplot as pltdef plotLine(): x = [1,2,3,4,5] y = [3,3,3,3,3] plt.figure(figsize=(100,100),dpi=1) plt.plot(x,y,linewidth=150) plt.axis('off') plt.savefig('C://Users//Administrator//Desktop//分形图//a.jpg',dpi=1) plt.show() plt.close()def plotTriangle(): x = [1,3,1,1] y = [1,1,3,1] plt.figure(figsize=(100,100),dpi=1) plt.plot(x,y,linewidth=150) plt.axis('off') plt.savefig('C://Users//Administrator//Desktop//分形图//b.jpg',dpi=1) plt.show() plt.close()def plotSquare(): x = [1,3,3,1,1] y = [1,1,3,3,1] plt.figure(figsize=(100,100),dpi=1) plt.plot(x,y,linewidth=150) plt.axis('off') plt.savefig('C://Users//Administrator//Desktop//分形图//c.jpg',dpi=1) plt.show() plt.close()plotLine()plotTriangle()plotSquare()

from datetime import datetime import os import matplotlib.pyplot as plt import numpy as np import tensorflow as tf from six.moves import xrange data = np.load('data/final37.npy') data_images = datadata_images = data_images.reshape(-1,3,61)# data_images = data_images[500:1000,:,:]for i in range(2000): plt.figure(figsize=(100,100),dpi=1) plt.plot(data_images[i][0][0:30],data_images[i][0][30:60],color='blue',linewidth=150) plt.plot(data_images[i][1][0:30],data_images[i][1][30:60],color='red',linewidth=150) plt.plot(data_images[i][2][0:30],data_images[i][2][30:60],color='green',linewidth=150) plt.axis('off') plt.savefig('C://Users//Administrator//Desktop//调整分辨率//原始图//resouce%d.jpg' %(i),dpi=1) plt.close()################################################################################## 生成随机分叉图# import random# import numpy as np# import operator# import os# import copy# from matplotlib.font_manager import FontProperties# from scipy.interpolate import lagrange# import random# import matplotlib.pyplot as plt# np.set_printoptions(threshold=np.inf) #输出全部矩阵不带省略号# # random.seed(10)# finaldata = []# for iy in range(100):#  #固定一个点,尽量使点固定在0-1正方形的中间 #小数点后16位#  pointx = random.uniform(0.3,0.7)#  pointy = random.uniform(0.3,0.7)# ##################################################  #主分支在上方#  a1x = random.uniform(pointx,0.8)#使第二个点尽量不那么大#  a2x = random.uniform(a1x,1)#  a3x = random.uniform(a2x,1)#  a1y = random.uniform(pointy,0.8)#  a2y = random.uniform(a1y,1)#  a3y = random.uniform(a2y,1)#  ax = [pointx,a1x,a2x,a3x]#  ay = [pointy,a1y,a2y,a3y]# #  print(ax)# #  print(ay)#  #对主分支a段进行插值#  #在ax相同索引直接分别插两个点，最后a段长度由4变成10，既得final_ax# #  print(ay)#  final_ax = []#  final_ay = []#  for i in range(len(ax)-1):#   #round(data,8)小数点保留8位四舍五入#   f = lagrange([round(ax[i],8),round(ax[i+1],8)],[round(ay[i],8),round(ay[i+1],8)])#   insertax = np.linspace(ax[i],ax[i+1],4)#插入2个点，小数点后8位#   insertay = f(insertax)#   for axi in insertax:#    final_ax.append(axi)#   for ayi in insertay:#    final_ay.append(ayi)#  del final_ax[4]#  del final_ax[7]#  del final_ay[4]#  del final_ay[7]#  ################################################## #  #左下分支#  b1x = random.uniform(0.2,pointx)#使第二个点尽量不那么小#  b2x = random.uniform(0,b1x)#  b3x = random.uniform(0,b2x)#  b1y = random.uniform(0.2,pointy)#  b2y = random.uniform(0,b1y)#  b3y = random.uniform(0,b2y)#  bx = [b3x,b2x,b1x,pointx]#  by = [b3y,b2y,b1y,pointy]#  #对左下分支b段进行插值#  final_bx = []#  final_by = []#  for i in range(len(bx)-1):#   f = lagrange([round(bx[i],8),round(bx[i+1],8)],[round(by[i],8),round(by[i+1],8)])#   insertbx = np.linspace(bx[i],bx[i+1],4)#   insertby = f(insertbx)#   for bxi in insertbx:#    final_bx.append(bxi)#   for byi in insertby:#    final_by.append(byi)#  del final_bx[4]#  del final_bx[7]#  del final_by[4]#  del final_by[7]#   #  ###################################################  #右下分支#  c1x = random.uniform(pointx,0.8)#使第二个点尽量不那么大#  c2x = random.uniform(c1x,1)#  c3x = random.uniform(c2x,1)#  c1y = random.uniform(0.2,pointy)#  c2y = random.uniform(0,c1y)#  c3y = random.uniform(0,c2y)#  cx = [pointx,c1x,c2x,c3x]#  cy = [pointy,c1y,c2y,c3y]#  #对右下分支段进行插值#  final_cx = []#  final_cy = []#  for i in range(len(cx)-1):#   f = lagrange([round(cx[i],8),round(cx[i+1],8)],[round(cy[i],8),round(cy[i+1],8)])#   insertcx = np.linspace(cx[i],cx[i+1],4)#   insertcy = f(insertcx)#   for cxi in insertcx:#    final_cx.append(cxi)#   for cyi in insertcy:#    final_cy.append(cyi)#  del final_cx[4]#  del final_cx[7]#  del final_cy[4]#  del final_cy[7]# #####################################################  x = [final_ax,final_bx,final_cx]#三分叉，上为a,左下b,右下c#  y = [final_ay,final_by,final_cy]#  diameter_a = round(random.uniform(0.2,0.25),8)#  diameter_b = round(random.uniform(0.1,0.2),8)#  diameter_c = round(random.uniform(0.1,0.2),8)#  final_a = []#长度为21前10个x坐标点，后面10个是y坐标点,最后一个是管径#  for ax in final_ax:#   final_a.append(ax)#  for ay in final_ay:#   final_a.append(ay)#  final_a.append(diameter_a)#  final_b = []#  for bx in final_bx:#   final_b.append(bx)#  for by in final_by:#   final_b.append(by)#  final_b.append(diameter_b)#  final_c = []#  for cx in final_cx:#   final_c.append(cx)#  for cy in final_cy:#   final_c.append(cy)#  final_c.append(diameter_c)#  finalabc = [final_a,final_b,final_c]#  finaldata.append(finalabc)# finaldata = np.array(finaldata)# #复制改变a,不改变b# finaldata1 = finaldata.copy()# finaldata2 = finaldata.copy()# finaldata3 = finaldata.copy()# #以定点为中心，进行镜像处理# finaldata1[:,:,0:10] = 2 * pointx -finaldata[:,:,0:10]# finaldata2[:,:,10:20] = 2 * pointx -finaldata[:,:,10:20]# finaldata3[:,:,0:20] = 2 * pointx -finaldata[:,:,0:20]# final = np.concatenate((finaldata,finaldata1,finaldata2,finaldata3),axis=0)# np.random.shuffle(final)#随机打乱数据，若没有次句，将连续输出一个方向# print(final.shape)# # np.save('C://Users//Administrator//Desktop//第9周//80000.npy',final)# ############################################ # 单个可视化图像# for i in range(len(final)):#  abc = final[i]#  plt.plot(abc[0][0:10],abc[0][10:20],color='blue',linewidth=1.5)#  plt.plot(abc[1][0:10],abc[1][10:20],color='red',linewidth=1.5)#  plt.plot(abc[2][0:10],abc[2][10:20],color='green',linewidth=1.5)#  plt.axis('off')#  plt.savefig('C://Users//Administrator//Desktop//ttt//原图2//random%d.jpg' %i,dpi=100)#  plt.close()############################################ 分块可视化图像# data = np.load('C://Users//Administrator//Desktop//第8周//10000.npy')# print(data.shape)# rows,cols = 5,5# fig,axs = plt.subplots(rows,cols)# cnt = 0# for i in range(rows):#  for j in range(cols):#   xy = final[cnt]#第n个分叉图，有三个分支，每个分支21个数#   for k in range(len(xy)):#    x = xy[k][0:10]#    y = xy[k][10:20]#    if k == 0 :#     axs[i,j].plot(x,y,color='blue',linewidth=xy[k][20]*15)#    if k == 1:#     axs[i,j].plot(x,y,color='red',linewidth=xy[k][20]*15)#    if k == 2:#     axs[i,j].plot(x,y,color='green',linewidth=xy[k][20]*15)#    axs[i,j].axis('off')#   cnt +=1# # plt.savefig('C://Users//Administrator//Desktop//第9周//')# plt.show()