1) ax2.set_xlim(0, 5) zoom_effect01(ax1, ax2, 0.2, 0.8) ax1 = plt.subplot(222) ax1.set_xlim(2, 3) ax2.set_xlim(0, 5) zoom_effect02(ax1, ax2) plt.show()三、用紧凑的布局调整轴的大小 tiny_layout 尝试调整图中子图的大小，以便轴对象和轴上的
ax = plt.gca() xlim = ax.get_xlim() ylim = ax.get_ylim() # 生成两个等差数列xx = np.linspace(xlim[0], xlim[1], 30) yy = np.linspace(ylim[0], ylim[1], 30) XX, YY = np.meshgrid(xx, yy) xy = np.vstack([XX.ravel(), YY.ravel()]).T Z = clf.decision_function(xy)...
问如何在python中获得数字的xlim，ylim值？ENPython 提供了各种方法来操作列表，这是最常用的数据结构之一...
ax = plt.gca() #get子图 xlim = ax.get_xlim() ylim = ax.get_ylim() # create grid to evaluate model x = np.linspace(xlim[0], xlim[1], 30) y = np.linspace(ylim[0], ylim[1], 30) # 生成网格点和坐标矩阵 Y, X = np.meshgrid(y, x) # 堆叠数组 xy = np.vstack([X.ravel...
plt.scatter(X[:,0],X[:,1],c=y,cmap=plt.cm.Paired)ax=plt.gca()xlim=ax.get_xlim()ylim=ax.get_ylim()# 创建网格以绘制决策边界 xx,yy=np.meshgrid(np.linspace(xlim[0],xlim[1],100),np.linspace(ylim[0],ylim[1],100))Z=model.decision_function(np.c_[xx.ravel(),yy.ravel()])#...
plt.ion()fig, ax = plt.subplots()x = np.arange(0, CHUNK)line, = ax.plot(x, np.zeros(CHUNK))ax.set_xlim(0, CHUNK)ax.set_ylim(-32768, 32767)wave_output_file = wave.open(WAVE_OUTPUT_FILENAME, 'wb')wave_output_file.setnchannels(CHANNELS)wave_output_file.setsampwidth(audio.get_...
xmin, xmax=ax.get_xlim()ifx >=xmax: ax.set_xlim(0, xmax+10) ax.figure.canvas.draw() line.set_data(xdata, ydata)returnline, 3.获取数据 获取电脑cpu数值,并对x坐标累加。 1 2 3 4 5 6 def data_gen(): #设置xy变量 x = -1 ...
>>> rect.get_transform() ... # 太长,省略 >>> ax.transData ... # 太长,省略 >>> ax.get_xlim() # ax的X轴范围为0到1,无法显示完整的rect (0.0, 1.0) >>> ax.dataLim._get_bounds() # 数据的范围和rect的大小一致 (1.0, 1.0, 5.0, 12.0) ...
minx, maxx = ax.get_xlim() miny, maxy = ax.get_ylim() ylen = maxy - miny xlen = maxx - minx left = [minx + xlen*(loc_x - width*.5), miny + ylen*(loc_y - pad)] right = [minx + xlen*(loc_x + width*.5), miny + ylen*(loc_y - pad)] ...
plt.xlim#不带参数调用,显示当前参数; #可将xlim替换为另外两个方法试试 (-1.4500000000000002, 30.45) plt.plot(np.random.randn(30),color='g',linestyle='--',marker='o') plt.xlim([0,15])#横轴刻度变成0-15 (0, 15) 设置标题,轴标签,刻度以及刻度标签 ...