plt.plot(xdata, ydata, 'or') # 绘制由高斯过程预测的函数曲线。 plt.plot(xfit, yfit, '-', color='gray') # 绘制预测函数曲线的置信区间,使用灰色填充区域。 plt.fill_between(xfit, yfit - dyfit, yfit + dyfit, color='gray', alpha=0.2) # 设置 x 轴的范围从 0 到 10。 plt.xlim(0,...
ax.fill(x,y1,facecolor='g',alpha=0.3) ax.fill_between(x,y,y1,facecolor='b') # 等高线 ax.contourf(x,y,z) # 显示数组,因为是数组所以才会有vmin和vmax的关键字 ax.imshow() # 线性绘图 plt.plot(x,y1,c='b',linestyle='',marker='^')经典...
Matplotlib绘制箱线图用plt.boxplot()这个函数,函数参数如下: plt.boxplot(x,notch=None,sym=None,vert=None,whis=None,positions=None,widths=None,patch_artist=None,meanline=None,showmeans=None,showcaps=None,showbox=None,showfliers=None,boxprops=None,labels=None,flierprops=Non,medianprops=None,meanpr...
super().__init__(*args, **kwargs)#rotate plot such that the first axis is at the topself.set_theta_zero_location('N')deffill(self, *args, closed=True, **kwargs):"""Override fill so that line is closed by default"""returnsuper().fill(closed=closed, *args, **kwargs)defplot(...
>>> plot(x, y) # plot x and y using default line style and color >>> plot(x, y, 'bo') # plot x and y using blue circle markers >>> plot(y) # plot y using x as index array 0..N-1 >>> plot(y, 'r+') # ditto, but with red plusses ...
return super().fill(closed=closed, *args, **kwargs) def plot(self, *args, **kwargs): """Override plot so that line is closed by default""" lines = super().plot(*args, **kwargs) for line in lines: self._close_line(line) ...
ax.plot(*zip(point_A, point_B, point_C, point_A), marker='o', color='black') # draw a circle around the 3 points ax.add_patch(plt.Circle(point_M, math.sqrt((point_M[0] - point_A[0]) ** 2 + (point_M[1] - point_A[1]) ** 2), ec='r', ls='--', fc='none'...
# buffer points to create circle polygons circles = [] for point in points: circles.append(point.buffer(2)) # attempt at dilating and eroding for slivers, gives error # eps = 0.001 # circles.buffer(eps).buffer(-eps) # unary_union and polygonize to find overlaps ...
Matplotlib tutorial for beginner. Contribute to moyu3585/matplotlib-tutorial development by creating an account on GitHub.
(magnitude, self.rounding, **self.barb_increments) # Get the vertices for each of the barbs plot_barbs = self._make_barbs(u, v, flags, emptyflags,barbs, halves, empty, self._length, self._pivot, self.sizes, self.fill_empty, self.flip) self.set_verts(plot_barbs) # Set the color...