scisalt/matplotlib/hist2d.py
def hist2d(x, y, bins=10, labels=None, aspect="auto", plot=True, fig=None, ax=None, interpolation='none', cbar=True, **kwargs):
    """
    Creates a 2-D histogram of data *x*, *y* with *bins*, *labels* = :code:`[title, xlabel, ylabel]`, aspect ration *aspect*. Attempts to use axis *ax* first, then the current axis of *fig*, then the last axis, to use an already-created window.
    
    Plotting (*plot*) is on by default, setting false doesn't attempt to create a figure.

    *interpolation* sets the interpolation type of :meth:`matplotlib.axis.imshow`.

    Returns a handle and extent as :code:`h, extent`
    """
    h_range   = kwargs.pop('range', None)
    h_normed  = kwargs.pop('normed', None)
    h_weights = kwargs.pop('weights', None)

    h, xe, ye = _np.histogram2d(x, y, bins=bins, range=h_range, normed=h_normed, weights=h_weights)
    extent    = [xe[0], xe[-1], ye[0], ye[-1]]
    # fig     = plt.figure()
    if plot:
        if ax is None:
            if fig is None:
                fig = _figure('hist2d')
            ax = fig.gca()
            ax.clear()

        img = ax.imshow(h.transpose(), extent=extent, interpolation=interpolation, aspect=aspect, **kwargs)
        if cbar:
            _colorbar(ax=ax, im=img)

        if labels is not None:
            _addlabel(labels[0], labels[1], labels[2])

        # _showfig(fig, aspect)
    return h, extent
def hist2d(x, y, bins=10, labels=None, aspect="auto", plot=True, fig=None, ax=None, interpolation='none', cbar=True, **kwargs):
    """
    Creates a 2-D histogram of data *x*, *y* with *bins*, *labels* = :code:`[title, xlabel, ylabel]`, aspect ration *aspect*. Attempts to use axis *ax* first, then the current axis of *fig*, then the last axis, to use an already-created window.
    
    Plotting (*plot*) is on by default, setting false doesn't attempt to create a figure.

    *interpolation* sets the interpolation type of :meth:`matplotlib.axis.imshow`.

    Returns a handle and extent as :code:`h, extent`
    """
    h_range   = kwargs.pop('range', None)
    h_normed  = kwargs.pop('normed', None)
    h_weights = kwargs.pop('weights', None)

    h, xe, ye = _np.histogram2d(x, y, bins=bins, range=h_range, normed=h_normed, weights=h_weights)
    extent    = [xe[0], xe[-1], ye[0], ye[-1]]
    # fig     = plt.figure()
    if plot:
        if ax is None:
            if fig is None:
                fig = _figure('hist2d')
            ax = fig.gca()
            ax.clear()

        img = ax.imshow(h.transpose(), extent=extent, interpolation=interpolation, aspect=aspect, **kwargs)
        if cbar:
            _colorbar(ax=ax, im=img)

        if labels is not None:
            _addlabel(labels[0], labels[1], labels[2])

        # _showfig(fig, aspect)
    return h, extent
def hist2d ( x , y , bins = 10 , labels = None , aspect = "auto" , plot = True , fig = None , ax = None , interpolation = 'none' , cbar = True , * * kwargs ) : h_range = kwargs . pop ( 'range' , None ) h_normed = kwargs . pop ( 'normed' , None ) h_weights = kwargs . pop ( 'weights' , None ) h , xe , ye = _np . histogram2d ( x , y , bins = bins , range = h_range , normed = h_normed , weights = h_weights ) extent = [ xe [ 0 ] , xe [ - 1 ] , ye [ 0 ] , ye [ - 1 ] ] # fig     = plt.figure() if plot : if ax is None : if fig is None : fig = _figure ( 'hist2d' ) ax = fig . gca ( ) ax . clear ( ) img = ax . imshow ( h . transpose ( ) , extent = extent , interpolation = interpolation , aspect = aspect , * * kwargs ) if cbar : _colorbar ( ax = ax , im = img ) if labels is not None : _addlabel ( labels [ 0 ] , labels [ 1 ] , labels [ 2 ] ) # _showfig(fig, aspect) return h , extent
Creates a 2-D histogram of data *x*, *y* with *bins*, *labels* = :code:`[title, xlabel, ylabel]`, aspect ration *aspect*. Attempts to use axis *ax* first, then the current axis of *fig*, then the last axis, to use an already-created window.
    
    Plotting (*plot*) is on by default, setting false doesn't attempt to create a figure.

    *interpolation* sets the interpolation type of :meth:`matplotlib.axis.imshow`.

    Returns a handle and extent as :code:`h, extent`
Creates a 2 - D histogram of data * x * * y * with * bins * * labels * = : code : [ title xlabel ylabel ] aspect ration * aspect * . Attempts to use axis * ax * first then the current axis of * fig * then the last axis to use an already - created window . Plotting ( * plot * ) is on by default setting false doesn t attempt to create a figure .