def imshow_batch(images, cbar=True, show=True, pdf=None, figsize=(16, 12), rows=2, columns=2, cmap=None, **kwargs):
    """
    Plots an array of *images* to a single window of size *figsize* with *rows* and *columns*.

    * *cmap*: Specifies color map
    * *cbar*: Add color bars
    * *show*: If false, dismisses each window after it is created and optionally saved
    * *pdf*: Save to a pdf of filename *pdf*
    * *\*\*kwargs* passed to :class:`matplotlib.axis.imshow`
    """
    # ======================================
    # Set up grid
    # ======================================
    images = _np.array(images)
    gs = _gridspec.GridSpec(rows, columns)

    num_imgs = images.shape[0]
    max_ind = num_imgs-1

    # ======================================
    # Split into pages
    # ======================================
    per_page = rows*columns
    num_pages = _np.int(_np.ceil(num_imgs/per_page))
    fig_array = _np.empty(shape=num_pages, dtype=object)

    if num_pages > 1:
        logger.info('Multiple pages necessary')

    if pdf is not None:
        f = _PdfPages(pdf)

    for p in range(num_pages):
        # ======================================
        # Make figure
        # ======================================
        fig_array[p] = _plt.figure(figsize=figsize)

        # ======================================
        # Get number of rows on page
        # ======================================
        pg_max_ind = _np.min( [(p+1) * per_page - 1, max_ind] )
        num_rows = _np.int(_np.ceil((pg_max_ind+1 - p * per_page) / columns))

        for i in range(num_rows):
            # ======================================
            # Get images for column
            # ======================================
            i_min_ind = p * per_page + i * columns
            col_max_ind = _np.min([i_min_ind + columns - 1, max_ind])
            
            for j, image in enumerate(images[i_min_ind:col_max_ind+1]):
                ax = fig_array[p].add_subplot(gs[i, j])

                try:
                    if _np.issubdtype(image.dtype, _np.integer):
                        image = _np.array(image, dtype=float)
                except:
                    pass

                plot = ax.imshow(image, **kwargs)
                if cmap is not None:
                    plot.set_cmap(cmap)

                if cbar:
                    fig_array[p].colorbar(plot)

        fig_array[p].tight_layout()
        if pdf is not None:
            f.savefig(fig_array[p])

        if not show:
            _plt.close(fig_array[p])

    if pdf is not None:
        f.close()

    return fig_array
def imshow_batch(images, cbar=True, show=True, pdf=None, figsize=(16, 12), rows=2, columns=2, cmap=None, **kwargs):
    """
    Plots an array of *images* to a single window of size *figsize* with *rows* and *columns*.

    * *cmap*: Specifies color map
    * *cbar*: Add color bars
    * *show*: If false, dismisses each window after it is created and optionally saved
    * *pdf*: Save to a pdf of filename *pdf*
    * *\*\*kwargs* passed to :class:`matplotlib.axis.imshow`
    """
    # ======================================
    # Set up grid
    # ======================================
    images = _np.array(images)
    gs = _gridspec.GridSpec(rows, columns)

    num_imgs = images.shape[0]
    max_ind = num_imgs-1

    # ======================================
    # Split into pages
    # ======================================
    per_page = rows*columns
    num_pages = _np.int(_np.ceil(num_imgs/per_page))
    fig_array = _np.empty(shape=num_pages, dtype=object)

    if num_pages > 1:
        logger.info('Multiple pages necessary')

    if pdf is not None:
        f = _PdfPages(pdf)

    for p in range(num_pages):
        # ======================================
        # Make figure
        # ======================================
        fig_array[p] = _plt.figure(figsize=figsize)

        # ======================================
        # Get number of rows on page
        # ======================================
        pg_max_ind = _np.min( [(p+1) * per_page - 1, max_ind] )
        num_rows = _np.int(_np.ceil((pg_max_ind+1 - p * per_page) / columns))

        for i in range(num_rows):
            # ======================================
            # Get images for column
            # ======================================
            i_min_ind = p * per_page + i * columns
            col_max_ind = _np.min([i_min_ind + columns - 1, max_ind])
            
            for j, image in enumerate(images[i_min_ind:col_max_ind+1]):
                ax = fig_array[p].add_subplot(gs[i, j])

                try:
                    if _np.issubdtype(image.dtype, _np.integer):
                        image = _np.array(image, dtype=float)
                except:
                    pass

                plot = ax.imshow(image, **kwargs)
                if cmap is not None:
                    plot.set_cmap(cmap)

                if cbar:
                    fig_array[p].colorbar(plot)

        fig_array[p].tight_layout()
        if pdf is not None:
            f.savefig(fig_array[p])

        if not show:
            _plt.close(fig_array[p])

    if pdf is not None:
        f.close()

    return fig_array
def imshow_batch ( images , cbar = True , show = True , pdf = None , figsize = ( 16 , 12 ) , rows = 2 , columns = 2 , cmap = None , * * kwargs ) : # ====================================== # Set up grid # ====================================== images = _np . array ( images ) gs = _gridspec . GridSpec ( rows , columns ) num_imgs = images . shape [ 0 ] max_ind = num_imgs - 1 # ====================================== # Split into pages # ====================================== per_page = rows * columns num_pages = _np . int ( _np . ceil ( num_imgs / per_page ) ) fig_array = _np . empty ( shape = num_pages , dtype = object ) if num_pages > 1 : logger . info ( 'Multiple pages necessary' ) if pdf is not None : f = _PdfPages ( pdf ) for p in range ( num_pages ) : # ====================================== # Make figure # ====================================== fig_array [ p ] = _plt . figure ( figsize = figsize ) # ====================================== # Get number of rows on page # ====================================== pg_max_ind = _np . min ( [ ( p + 1 ) * per_page - 1 , max_ind ] ) num_rows = _np . int ( _np . ceil ( ( pg_max_ind + 1 - p * per_page ) / columns ) ) for i in range ( num_rows ) : # ====================================== # Get images for column # ====================================== i_min_ind = p * per_page + i * columns col_max_ind = _np . min ( [ i_min_ind + columns - 1 , max_ind ] ) for j , image in enumerate ( images [ i_min_ind : col_max_ind + 1 ] ) : ax = fig_array [ p ] . add_subplot ( gs [ i , j ] ) try : if _np . issubdtype ( image . dtype , _np . integer ) : image = _np . array ( image , dtype = float ) except : pass plot = ax . imshow ( image , * * kwargs ) if cmap is not None : plot . set_cmap ( cmap ) if cbar : fig_array [ p ] . colorbar ( plot ) fig_array [ p ] . tight_layout ( ) if pdf is not None : f . savefig ( fig_array [ p ] ) if not show : _plt . close ( fig_array [ p ] ) if pdf is not None : f . close ( ) return fig_array
Plots an array of *images* to a single window of size *figsize* with *rows* and *columns*.

    * *cmap*: Specifies color map
    * *cbar*: Add color bars
    * *show*: If false, dismisses each window after it is created and optionally saved
    * *pdf*: Save to a pdf of filename *pdf*
    * *\*\*kwargs* passed to :class:`matplotlib.axis.imshow`
Plots an array of * images * to a single window of size * figsize * with * rows * and * columns * .