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from scipy.odr import Model, Data, ODR
from orthoregress import f
mod = Model(f)
dat = Data(mcr.sample.B1, mcr.sample.B3)
od = ODR(dat, mod, beta0=[1.22,0.5])
od.run().beta

robintw

from orthoregress import orthoregress
import numpy as np
x = np.arange(5).astype(np.float64)
y = np.array([3.5, 2.7, 6.8, 5.6, 9.7]).astype(np.float64)
orthoregress(x, y)

robintw

# Copyright (c) 2013, Robin Wilson
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#     * Redistributions of source code must retain the above copyright
#       notice, this list of conditions and the following disclaimer.
#     * Redistributions in binary form must reproduce the above copyright
#       notice, this list of conditions and the following disclaimer in the
#       documentation and/or other materials provided with the distribution.

robintw

import sys

import numpy as np

import gdal
from mycanny import mycanny

input_image = sys.argv[1]
print(input_image)

robintw

def make_ellipse(x, x0, y, y0, theta, a, b):
    """Creates an ellipse in an array.

    Parameters:

    x: Array resulting from meshgrid function
    x0: Unused
    y: Array resulting from meshgrid function
    y0: Unused
    theta: Angle of rotation of the ellipse, in radians

robintw

from bokeh.plotting import figure, ColumnDataSource
from bokeh.models import HoverTool


def scatter_with_hover(df, x, y,
                       fig=None, cols=None, name=None, marker='x', **kwargs):
    """
    Plots an interactive scatter plot of `x` vs `y` using bokeh, with automatic
    tooltips showing columns from `df`.

robintw

from bokeh.plotting import figure, ColumnDataSource
from bokeh.models import HoverTool


def scatter_with_hover(df, x, y,
                       fig=None, cols=None, name=None, marker='x', **kwargs):
    """
    Plots an interactive scatter plot of `x` vs `y` using bokeh, with automatic
    tooltips showing columns from `df`.

robintw

from bokeh.plotting import figure, ColumnDataSource
from bokeh.models import HoverTool


def scatter_with_hover(df, x, y,
                       fig=None, cols=None, name=None, marker='x',
                       fig_width=500, fig_height=500, **kwargs):
    """
    Plots an interactive scatter plot of `x` vs `y` using bokeh, with automatic
    tooltips showing columns from `df`.

robintw

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