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- addInteractionOptions(optParser)
- addNetOptions(optParser)
- addPlotOptions(optParser)
- applyPlotOptions(fig, ax, options)
- arange(...)
- arange([start,] stop[, step,], dtype=None)
Return evenly spaced values within a given interval.
Values are generated within the half-open interval ``[start, stop)``
(in other words, the interval including `start` but excluding `stop`).
For integer arguments the function is equivalent to the Python built-in
`range <http://docs.python.org/lib/built-in-funcs.html>`_ function,
but returns an ndarray rather than a list.
When using a non-integer step, such as 0.1, the results will often not
be consistent. It is better to use ``linspace`` for these cases.
Parameters
----------
start : number, optional
Start of interval. The interval includes this value. The default
start value is 0.
stop : number
End of interval. The interval does not include this value, except
in some cases where `step` is not an integer and floating point
round-off affects the length of `out`.
step : number, optional
Spacing between values. For any output `out`, this is the distance
between two adjacent values, ``out[i+1] - out[i]``. The default
step size is 1. If `step` is specified, `start` must also be given.
dtype : dtype
The type of the output array. If `dtype` is not given, infer the data
type from the other input arguments.
Returns
-------
arange : ndarray
Array of evenly spaced values.
For floating point arguments, the length of the result is
``ceil((stop - start)/step)``. Because of floating point overflow,
this rule may result in the last element of `out` being greater
than `stop`.
See Also
--------
linspace : Evenly spaced numbers with careful handling of endpoints.
ogrid: Arrays of evenly spaced numbers in N-dimensions.
mgrid: Grid-shaped arrays of evenly spaced numbers in N-dimensions.
Examples
--------
>>> np.arange(3)
array([0, 1, 2])
>>> np.arange(3.0)
array([ 0., 1., 2.])
>>> np.arange(3,7)
array([3, 4, 5, 6])
>>> np.arange(3,7,2)
array([3, 5])
- closeFigure(fig, ax, options, haveLabels=True, optOut=None)
- getColor(options, i, a)
- getLabel(f, i, options)
- linNormalise(values, minColorValue, maxColorValue)
- logNormalise(values, maxValue)
- m2hm1(x, i)
- m2hm2(x, i)
- openFigure(options)
- parseColorMap(mapDef)
- plotNet(net, colors, widths, options)
- toColor(val, colormap)
- Converts the given value (0-1) into a color definition parseable by matplotlib
- toFloat(val)
- Converts the given value (0-255) into its hexadecimal representation
- toHex(val)
- Converts the given value (0-255) into its hexadecimal representation
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