本文整理汇总了Python中mpl_toolkits.axes_grid.parasite_axes.SubplotHost.get_grid_helper方法的典型用法代码示例。如果您正苦于以下问题：Python SubplotHost.get_grid_helper方法的具体用法？Python SubplotHost.get_grid_helper怎么用？Python SubplotHost.get_grid_helper使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类mpl_toolkits.axes_grid.parasite_axes.SubplotHost的用法示例。
在下文中一共展示了SubplotHost.get_grid_helper方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: curvelinear_test3
# 需要导入模块: from mpl_toolkits.axes_grid.parasite_axes import SubplotHost [as 别名]
# 或者: from mpl_toolkits.axes_grid.parasite_axes.SubplotHost import get_grid_helper [as 别名]
def curvelinear_test3(fig):
"""
polar projection, but in a rectangular box.
"""
global ax1, axis
import numpy as np
from . import angle_helper
from matplotlib.projections import PolarAxes
from matplotlib.transforms import Affine2D
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
# PolarAxes.PolarTransform takes radian. However, we want our coordinate
# system in degree
tr = Affine2D().scale(np.pi / 180., 1.) + PolarAxes.PolarTransform()
# polar projection, which involves cycle, and also has limits in
# its coordinates, needs a special method to find the extremes
# (min, max of the coordinate within the view).
# 20, 20 : number of sampling points along x, y direction
extreme_finder = angle_helper.ExtremeFinderCycle(
20,
20,
lon_cycle=360,
lat_cycle=None,
lon_minmax=None,
lat_minmax=(0, np.inf),
)
grid_locator1 = angle_helper.LocatorDMS(12)
# Find a grid values appropriate for the coordinate (degree,
# minute, second).
tick_formatter1 = angle_helper.FormatterDMS()
# And also uses an appropriate formatter. Note that,the
# acceptable Locator and Formatter class is a bit different than
# that of mpl's, and you cannot directly use mpl's Locator and
# Formatter here (but may be possible in the future).
grid_helper = GridHelperCurveLinear(
tr,
extreme_finder=extreme_finder,
grid_locator1=grid_locator1,
tick_formatter1=tick_formatter1)
ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)
for axis in list(six.itervalues(ax1.axis)):
axis.set_visible(False)
fig.add_subplot(ax1)
grid_helper = ax1.get_grid_helper()
ax1.axis["lat1"] = axis = grid_helper.new_floating_axis(
0, 130, axes=ax1, axis_direction="left")
axis.label.set_text("Test")
axis.label.set_visible(True)
axis.get_helper()._extremes = 0.001, 10
grid_helper = ax1.get_grid_helper()
ax1.axis["lat2"] = axis = grid_helper.new_floating_axis(
0, 50, axes=ax1, axis_direction="right")
axis.label.set_text("Test")
axis.label.set_visible(True)
axis.get_helper()._extremes = 0.001, 10
ax1.axis["lon"] = axis = grid_helper.new_floating_axis(
1, 10, axes=ax1, axis_direction="bottom")
axis.label.set_text("Test 2")
axis.get_helper()._extremes = 50, 130
axis.major_ticklabels.set_axis_direction("top")
axis.label.set_axis_direction("top")
grid_helper.grid_finder.grid_locator1.den = 5
grid_helper.grid_finder.grid_locator2._nbins = 5
# # A parasite axes with given transform
# ax2 = ParasiteAxesAuxTrans(ax1, tr, "equal")
# # note that ax2.transData == tr + ax1.transData
# # Anthing you draw in ax2 will match the ticks and grids of ax1.
# ax1.parasites.append(ax2)
# intp = cbook.simple_linear_interpolation
# ax2.plot(intp(np.array([0, 30]), 50),
# intp(np.array([10., 10.]), 50))
ax1.set_aspect(1.)
ax1.set_xlim(-5, 12)
ax1.set_ylim(-5, 10)
ax1.grid(True)