Alsoįrom this menu, you can print, copy to clipboard, or save your graph in one of many picture formats. Menu, where you can customize items on the plot like the axis labels, title, and the look of the graph. Right clicking on the plot canvas shows the graphing The graph, such as panning, zooming, and autoscaling. The image may be inverted along either direction.The graphing area is divided into two primary portions the toolbar, which is situated along the top ofĪ graphing area, and the graph canvas, where the plot is drawn. Origin controls if the first row is closest to 'top' or 'bottom'. The first column is always closest to the 'left'. The coordinate (left, bottom) anchors the image which then fills theīox going towards the (right, top) point in data space.
The right (from the viewer's point of view). Is now explicitly put at the bottom left and values increase to up and to
While we keep the extents as in the examples before, the coordinate (0, 0) In the example below we have chosen the limits slightly larger than theĮxtent (note the white areas within the Axes). This can decouple the 'left-right' and 'top-bottom' sense of the image from
Set_ylim, we force a certain size and orientation of the axes. If we fix the axes limits by explicitly setting set_xlim / axis ( 'off' ) return columns Default extent ¶įirst, let's have a look at the default extent=NoneĮxtents = columns = generate_imshow_demo_grid ( extents ) set_extent_None_text ( columns ) set_extent_None_text ( columns ) Explicit extent and axes limits ¶ transAxes, ha = 'right', va = 'center' ) ax.
sign ( top - bottom ) bottom, top = bottom + vshift, top - vshift if origin = 'upper' : bottom, top = top, bottom return \n ' ) ax. sign ( right - left ) left, right = left + hshift, right - hshift vshift = 0.5 * np. Import numpy as np import matplotlib.pyplot as plt from idspec import GridSpec def index_to_coordinate ( index, extent, origin ): """Return the pixel center of an index.""" left, right, bottom, top = extent hshift = 0.5 * np.
0 kommentar(er)
