python画图
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论文画图:每个数据集对应多个方法结果的柱状图放在一个图中展示
目标效果:这个图的来源:代码实现:未完待续。。。。(博主眼睛坏了,在修养中)原创 2021-04-13 20:44:47 · 960 阅读 · 0 评论 -
python:等高线图
import matplotlib.pyplot as pltimport matplotlib.tri as triimport numpy as npnp.random.seed(19680801)npts = 200ngridx = 200ngridy = 200x = np.random.uniform(-2, 2, npts)y = np.random.uniform(-2, 2, npts)z = x * np.exp(-x**2 - y**2)fig, (ax1,...原创 2021-04-10 14:50:55 · 1545 阅读 · 0 评论 -
Python:绘制箱型图(箱线图)
import pandas as pdimport numpy as npimport xlrdfrom pathlib import Pathimport matplotlib.pyplot as pltread_path = Path(r"D:\AOR_experiment\conf_result")# name_list = ["SWD", "ARWU2020-5bin", "ARWU2020-10bin", "QSR2020-10bin", "QSR2020-5bin", "hou.原创 2021-03-28 23:37:41 · 2466 阅读 · 0 评论 -
Python:根据散点局部密度进行等高线展示
from pylab import *from sklearn import datasetsimport matplotlib.pyplot as pltimport numpy as npfrom scipy.spatial.distance import pdist,squareformX, y = datasets.make_blobs(n_samples=1000, n_features=2, center_box=(-20, 20), centers=4, cluster_std=.原创 2020-12-18 20:12:35 · 1466 阅读 · 4 评论 -
Python:等高线图1
import numpy as npimport matplotlib.pyplot as pltimport matplotlib as mpldef process_signals(x,y): return (1-(x**2+y**2))*np.exp(-y**3/3)x = np.linspace(-5,5,100)y = np.linspace(-5,5,100)X,Y = np.meshgrid(x,y)Z = process_signals(X,Y)N = np.a.原创 2020-12-18 16:42:45 · 469 阅读 · 2 评论 -
Python:matplotlib 多个子图
import matplotlib.pyplot as pltfig = plt.figure()ax1 = fig.add_subplot(321)ax2 = fig.add_subplot(322)ax3 = fig.add_subplot(323)ax4 = fig.add_subplot(324)ax5 = fig.add_subplot(325)ax6 = fig.add_subplot(326)plt.grid(True)plt.show()原创 2020-12-18 15:46:12 · 258 阅读 · 2 评论
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