演示Curvelinear网格2
自定义网格和记号行。
此示例演示如何通过在网格上应用转换,使用GridHelperCurve线性来定义自定义网格和注释行。作为打印上的演示,轴上将显示5x5矩阵。

import numpy as npimport matplotlib.pyplot as pltfrom mpl_toolkits.axisartist.grid_helper_curvelinear import \GridHelperCurveLinearfrom mpl_toolkits.axisartist.axislines import Subplotimport mpl_toolkits.axisartist.angle_helper as angle_helperdef curvelinear_test1(fig):"""grid for custom transform."""def tr(x, y):sgn = np.sign(x)x, y = np.abs(np.asarray(x)), np.asarray(y)return sgn*x**.5, ydef inv_tr(x, y):sgn = np.sign(x)x, y = np.asarray(x), np.asarray(y)return sgn*x**2, yextreme_finder = angle_helper.ExtremeFinderCycle(20, 20,lon_cycle=None,lat_cycle=None,# (0, np.inf),lon_minmax=None,lat_minmax=None,)grid_helper = GridHelperCurveLinear((tr, inv_tr),extreme_finder=extreme_finder)ax1 = Subplot(fig, 111, grid_helper=grid_helper)# ax1 will have a ticks and gridlines defined by the given# transform (+ transData of the Axes). Note that the transform of# the Axes itself (i.e., transData) is not affected by the given# transform.fig.add_subplot(ax1)ax1.imshow(np.arange(25).reshape(5, 5),vmax=50, cmap=plt.cm.gray_r,interpolation="nearest",origin="lower")# tick densitygrid_helper.grid_finder.grid_locator1._nbins = 6grid_helper.grid_finder.grid_locator2._nbins = 6if 1:fig = plt.figure(1, figsize=(7, 4))fig.clf()curvelinear_test1(fig)plt.show()
