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python - 更改楔形图的大小

问题描述

我想用一些星系的赤经和红移做一个楔形图。当我对某个 RA 范围执行此操作时，我的所有数据点都在楔形图中间的一条细线上。所以很自然地，我把限制变小了，认为这会“放大”线上，但它只会返回一个更小的楔形图。有谁知道我可以如何更改限制但保持楔形图的大小？为了清楚起见，请参阅图片“具有广泛的限制范围”和“较小的限制范围”。

绘制楔形图


def setup_axes3(fig, rect):
    """
    Sometimes, things like axis_direction need to be adjusted.
    """

    # rotate a bit for better orientation
    tr_rotate = Affine2D().translate(-105, 0)

    # scale degree to radians
    tr_scale = Affine2D().scale(np.pi/180., 1.)

    tr = tr_rotate + tr_scale + PolarAxes.PolarTransform()

    grid_locator1 = angle_helper.LocatorHMS(4)
    tick_formatter1 = angle_helper.FormatterHMS()

    grid_locator2 = MaxNLocator(3)

    # Specify theta limits in degrees
    ra0, ra1 = 180, 210
    # Specify radial limits
    cz0, cz1 = 0.0, 0.04
    grid_helper = floating_axes.GridHelperCurveLinear(
        tr, extremes=(ra0, ra1, cz0, cz1),
        grid_locator1=grid_locator1,
        grid_locator2=grid_locator2,
        tick_formatter1=tick_formatter1,
        tick_formatter2=None)

    ax1 = floating_axes.FloatingSubplot(fig, rect, grid_helper=grid_helper)
    fig.add_subplot(ax1)

    # adjust axis
    ax1.axis["left"].set_axis_direction("bottom")
    ax1.axis["right"].set_axis_direction("top")

    ax1.axis["bottom"].set_visible(False)
    ax1.axis["top"].set_axis_direction("bottom")
    ax1.axis["top"].toggle(ticklabels=True, label=True)
    ax1.axis["top"].major_ticklabels.set_axis_direction("top")
    ax1.axis["top"].label.set_axis_direction("top")

    ax1.axis["left"].label.set_text(r"z")
    ax1.axis["top"].label.set_text(r"Right Ascension")

    # create a parasite axes whose transData in RA, cz
    aux_ax = ax1.get_aux_axes(tr)

    aux_ax.patch = ax1.patch  # for aux_ax to have a clip path as in ax
    ax1.patch.zorder = 0.9  # but this has a side effect that the patch is
    # drawn twice, and possibly over some other
    # artists. So, we decrease the z-order a bit to
    # prevent this.

    return ax1, aux_ax


fig = plt.figure(figsize=(8, 8))

ax3, aux_ax3 = setup_axes3(fig, 111)
aux_ax3.scatter(ra, z, s = 0.4)
plt.grid(True)
plt.show()

具有广泛的限制范围

更小的限制范围

参考：

标签： pythonnumpymatplotlib

解决方案

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