本文整理汇总了Python中aplpy.FITSFigure.hide_yaxis_label方法的典型用法代码示例。如果您正苦于以下问题：Python FITSFigure.hide_yaxis_label方法的具体用法？Python FITSFigure.hide_yaxis_label怎么用？Python FITSFigure.hide_yaxis_label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aplpy.FITSFigure的用法示例。
在下文中一共展示了FITSFigure.hide_yaxis_label方法的3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: make_rgb_image
# 需要导入模块: from aplpy import FITSFigure [as 别名]
# 或者: from aplpy.FITSFigure import hide_yaxis_label [as 别名]
import os
'''
For proposal: 2016.1.00750.S
'''
path = "/media/eric/Data_3/NGC1313/"
fits_cube = os.path.join(path, "ngc1313_noao.fits")
fits_twod = os.path.join(path, "ngc1313_noao_2d.fits")
rgb_image = os.path.join(path, "ngc1313_noao_rgb.png")
# Make RGB image if it isn't there
if not os.path.exists(rgb_image):
make_rgb_image(fits_cube, rgb_image)
fig = FITSFigure(fits_twod)
fig.show_rgb(rgb_image)
# fig.show_grayscale(invert=True)
# ALMA regions
fig.show_regions("ngc1313_targets.reg")
# Hubble ACS field outlines
fig.show_regions(os.path.join(path, "HST/final_mosaic/coverage_outline.reg"))
fig.hide_tick_labels()
fig.hide_xaxis_label()
fig.hide_yaxis_label()
# Should be zoomed in on before saving
# fig.save(os.path.join(path, "ngc1313_noao_field_overlays.png"))
# Also needs to be re-orientated such that N is actually up-sh
示例2: FITSFigure
# 需要导入模块: from aplpy import FITSFigure [as 别名]
# 或者: from aplpy.FITSFigure import hide_yaxis_label [as 别名]
titles = ['Gammapy Significance', 'Fermi Tools Significance']
# Plot
fig = plt.figure(figsize=(10, 5))
hdu1 = fits.ImageHDU(significance, header)
f1 = FITSFigure(hdu1, figure=fig, convention='wells', subplot=(1, 2, 1))
f1.set_tick_labels_font(size='x-small')
f1.tick_labels.set_xformat('ddd')
f1.tick_labels.set_yformat('ddd')
f1.show_colorscale(vmin=0, vmax=10, cmap='afmhot')
f1.add_colorbar(axis_label_text='Significance')
f1.colorbar.set_width(0.1)
f1.colorbar.set_location('right')
hdu2 = fits.ImageHDU(fermi_significance, header)
f2 = FITSFigure(hdu2, figure=fig, convention='wells', subplot=(1, 2, 2))
f2.set_tick_labels_font(size='x-small')
f2.tick_labels.set_xformat('ddd')
f2.hide_ytick_labels()
f2.hide_yaxis_label()
f2.show_colorscale(vmin=0, vmax=10, cmap='afmhot')
f2.add_colorbar(axis_label_text='Significance')
f2.colorbar.set_width(0.1)
f2.colorbar.set_location('right')
fig.text(0.15, 0.92, "Gammapy Significance")
fig.text(0.63, 0.92, "Fermi Tools Significance")
plt.tight_layout()
plt.show()
示例3: load_co21_IRAM
# 需要导入模块: from aplpy import FITSFigure [as 别名]
# 或者: from aplpy.FITSFigure import hide_yaxis_label [as 别名]
_, co21_proj = load_co21_IRAM()
halp_long = halp_proj.longitude_extrema
halp_lat = halp_proj.latitude_extrema
hi_proj = hi_proj.subprojection(xlo=halp_long[1], xhi=halp_long[0], ylo=halp_lat[0], yhi=halp_lat[1])
co21_proj = co21_proj.subprojection(xlo=halp_long[1], xhi=halp_long[0], ylo=halp_lat[0], yhi=halp_lat[1])
fig = p.figure()
# Halpha
halp_fig = FITSFigure(halp_proj.hdu, subplot=(2, 3, 1), figure=fig)
halp_fig.show_grayscale(stretch="log", vmin=0.01)
halp_fig.hide_xaxis_label()
halp_fig.hide_yaxis_label()
halp_fig.hide_tick_labels()
halp_fig.set_title(r"H$\alpha$")
hi_fig = FITSFigure(hi_proj.hdu, subplot=(2, 3, 2), figure=fig)
hi_fig.show_grayscale()
hi_fig.hide_xaxis_label()
hi_fig.hide_yaxis_label()
hi_fig.hide_tick_labels()
hi_fig.set_title(r"HI")
hi_fig.set_nan_color("k")
hi_fig.show_regions("pvslices_finalfig.reg")
co21_fig = FITSFigure(co21_proj.hdu, subplot=(2, 3, 3), figure=fig)
co21_fig.show_grayscale()
co21_fig.hide_xaxis_label()