python - 二维密度等高线图与 matplotlib

Question

我正在尝试绘制我的数据集 x 和 y(通过 numpy.genfromtxt('/Users/.../somedata.csv', delimiter=',', unpack=True)) 作为一个简单的密度图。为确保这是自包含的，我将在此处定义它们:

x = [ 0.2933215   0.2336305   0.2898058   0.2563835   0.1539951   0.1790058
  0.1957057   0.5048573   0.3302402   0.2896122   0.4154893   0.4948401
  0.4688092   0.4404935   0.2901995   0.3793949   0.6343423   0.6786809
  0.5126349   0.4326627   0.2318232   0.538646    0.1351541   0.2044524
  0.3063099   0.2760263   0.1577156   0.2980986   0.2507897   0.1445099
  0.2279241   0.4229934   0.1657194   0.321832    0.2290785   0.2676585
  0.2478505   0.3810182   0.2535708   0.157562    0.1618909   0.2194217
  0.1888698   0.2614876   0.1894155   0.4802076   0.1059326   0.3837571
  0.3609228   0.2827142   0.2705508   0.6498625   0.2392224   0.1541462
  0.4540277   0.1624592   0.160438    0.109423    0.146836    0.4896905
  0.2052707   0.2668798   0.2506224   0.5041728   0.201774    0.14907
  0.21835     0.1609169   0.1609169   0.205676    0.4500787   0.2504743
  0.1906289   0.3447547   0.1223678   0.112275    0.2269951   0.1616036
  0.1532181   0.1940938   0.1457424   0.1094261   0.1636615   0.1622345
  0.705272    0.3158471   0.1416916   0.1290324   0.3139713   0.2422002
  0.1593835   0.08493619  0.08358301  0.09691083  0.2580497   0.1805554 ]

y = [ 1.395807  1.31553   1.333902  1.253527  1.292779  1.10401   1.42933
  1.525589  1.274508  1.16183   1.403394  1.588711  1.346775  1.606438
  1.296017  1.767366  1.460237  1.401834  1.172348  1.341594  1.3845
  1.479691  1.484053  1.468544  1.405156  1.653604  1.648146  1.417261
  1.311939  1.200763  1.647532  1.610222  1.355913  1.538724  1.319192
  1.265142  1.494068  1.268721  1.411822  1.580606  1.622305  1.40986
  1.529142  1.33644   1.37585   1.589704  1.563133  1.753167  1.382264
  1.771445  1.425574  1.374936  1.147079  1.626975  1.351203  1.356176
  1.534271  1.405485  1.266821  1.647927  1.28254   1.529214  1.586097
  1.357731  1.530607  1.307063  1.432288  1.525117  1.525117  1.510123
  1.653006  1.37388   1.247077  1.752948  1.396821  1.578571  1.546904
  1.483029  1.441626  1.750374  1.498266  1.571477  1.659957  1.640285
  1.599326  1.743292  1.225557  1.664379  1.787492  1.364079  1.53362
  1.294213  1.831521  1.19443   1.726312  1.84324 ]

现在，我已经多次尝试使用以下变体来绘制我的等高线:

delta = 0.025
OII_OIII_sAGN_sorted = numpy.arange(numpy.min(OII_OIII_sAGN), numpy.max(OII_OIII_sAGN), delta)
Dn4000_sAGN_sorted = numpy.arange(numpy.min(Dn4000_sAGN), numpy.max(Dn4000_sAGN), delta)
OII_OIII_sAGN_X, Dn4000_sAGN_Y = np.meshgrid(OII_OIII_sAGN_sorted, Dn4000_sAGN_sorted)

Z1 = matplotlib.mlab.bivariate_normal(OII_OIII_sAGN_X, Dn4000_sAGN_Y, 1.0, 1.0, 0.0, 0.0)
Z2 = matplotlib.mlab.bivariate_normal(OII_OIII_sAGN_X, Dn4000_sAGN_Y, 0.5, 1.5, 1, 1)
# difference of Gaussians
Z = 0.2 * (Z2 - Z1)
pyplot_middle.contour(OII_OIII_sAGN_X, Dn4000_sAGN_Y, Z, 12, colors='k')

这似乎没有给出所需的输出。我也试过:

H, xedges, yedges = np.histogram2d(OII_OIII_sAGN,Dn4000_sAGN)
extent = [xedges[0],xedges[-1],yedges[0],yedges[-1]]
ax.contour(H, extent=extent)

也没有像我想要的那样工作。本质上，我正在寻找与此类似的东西:

如果有人可以帮助我解决这个问题，我将不胜感激，无论是建议一种全新的方法还是修改我现有的代码。如果您有一些有用的技术或想法，也请附上您的输出图像。

Answer 1

seaborn 开箱即用地绘制密度图:

import seaborn as sns
import matplotlib.pyplot as plt

sns.kdeplot(x, y)
plt.show()