ranch

• ranch package
  • Subpackages
    • ranch.core package
      • Submodules
      • ranch.core.header module
      • ranch.core.math module
      • ranch.core.util module
      • Module contents
    • ranch.filtering package
      • Submodules
      • ranch.filtering.filters module
      • ranch.filtering.morphology module
      • ranch.filtering.noise module
      • Module contents
    • ranch.io package
      • Submodules
      • ranch.io.io module
      • Module contents
    • ranch.learning package
      • Submodules
      • ranch.learning.preprocessing module
      • ranch.learning.splitting module
      • Module contents
    • ranch.models package
      • Submodules
      • ranch.models.distribution module
      • ranch.models.noise module
      • ranch.models.peaks module
      • Module contents
    • ranch.reduction package
      • Submodules
      • ranch.reduction.astro module
      • ranch.reduction.getters module
      • ranch.reduction.stats module
      • Module contents
  • Submodules
  • ranch.structures module
    • Cube
      • Cube.change_axes_order()
      • Cube.filter()
      • Cube.filter_channels()
      • Cube.filter_pixels()
      • Cube.from_maps()
      • Cube.from_profiles()
      • Cube.get_channel()
      • Cube.get_channels()
      • Cube.get_pixel()
      • Cube.get_pixels()
      • Cube.integral()
      • Cube.map_from()
      • Cube.noise_map()
      • Cube.nx
      • Cube.ny
      • Cube.nz
      • Cube.plot_channel()
      • Cube.plot_pixel()
      • Cube.profile_from()
      • Cube.reduce_spatial()
      • Cube.reduce_spectral()
      • Cube.save_channel_plot()
      • Cube.save_pixel_plot()
      • Cube.show_channel()
      • Cube.show_pixel()
      • Cube.spectrum()
      • Cube.x_axis()
      • Cube.y_axis()
      • Cube.z_axis()
    • Map
      • Map.change_axes_order()
      • Map.filter()
      • Map.nx
      • Map.ny
      • Map.plot()
      • Map.reduce_spatial()
      • Map.save_plot()
      • Map.show()
      • Map.x_axis()
      • Map.y_axis()
    • Profile
      • Profile.filter()
      • Profile.nz
      • Profile.plot()
      • Profile.reduce_spectral()
      • Profile.save_plot()
      • Profile.show()
      • Profile.z_axis()
    • Struct
      • Struct.abs()
      • Struct.additive_noise()
      • Struct.all()
      • Struct.any()
      • Struct.apply_element_wise()
      • Struct.arccos()
      • Struct.arccosh()
      • Struct.arcsin()
      • Struct.arcsinh()
      • Struct.arctan()
      • Struct.arctanh()
      • Struct.argmax()
      • Struct.argmin()
      • Struct.astype()
      • Struct.cbrt()
      • Struct.clip()
      • Struct.closing()
      • Struct.copy()
      • Struct.cos()
      • Struct.cosh()
      • Struct.data
      • Struct.dilation()
      • Struct.erosion()
      • Struct.exp()
      • Struct.flatten()
      • Struct.from_fits()
      • Struct.from_numpy()
      • Struct.gradient()
      • Struct.header
      • Struct.is_logical()
      • Struct.isfinite()
      • Struct.isnan()
      • Struct.kde()
      • Struct.laplacian()
      • Struct.log()
      • Struct.max()
      • Struct.mean()
      • Struct.median()
      • Struct.min()
      • Struct.moment()
      • Struct.multiplicative_noise()
      • Struct.normalize()
      • Struct.ones()
      • Struct.ones_like()
      • Struct.opening()
      • Struct.percentile()
      • Struct.plot_hist()
      • Struct.plot_hist2d()
      • Struct.ptp()
      • Struct.quantile()
      • Struct.rms()
      • Struct.save_fits()
      • Struct.save_hist()
      • Struct.save_hist2d()
      • Struct.scale()
      • Struct.shape
      • Struct.show_hist()
      • Struct.show_hist2d()
      • Struct.sin()
      • Struct.sinh()
      • Struct.size
      • Struct.sqrt()
      • Struct.standardize()
      • Struct.std()
      • Struct.sum()
      • Struct.tan()
      • Struct.tanh()
      • Struct.to_numpy()
      • Struct.unnormalize()
      • Struct.unscale()
      • Struct.unstandardize()
      • Struct.var()
      • Struct.where()
      • Struct.zeros()
      • Struct.zeros_like()
  • Module contents