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Title: ENH add an inset_axes to the axes class by jklymak · Pull Request #11026 · matplotlib/matplotlib · GitHub

Open Graph Title: ENH add an inset_axes to the axes class by jklymak · Pull Request #11026 · matplotlib/matplotlib

X Title: ENH add an inset_axes to the axes class by jklymak · Pull Request #11026 · matplotlib/matplotlib

Description: PR Summary and we are back to inset_axes.... @efiring suggested just going back to inset_axes. Since that was what we started with, I didn't object. The original argument for the longer name was if the API was to include a loc='SW' API, instead of the bounds API I've used here. Thats still possible by type-checking the bounds argument. EDIT: Name bikeshedding: Proposal after comments below: Axes.inset_axes_from_bounds Axes.indicate_inset_bounds Axes.indicate_inset_zoom rect was too ambiguous, lbwh too obscure, bounds is already used for bboxes (as is extents for lbrt)... Comments on names still welcome... Old PR descr Adds ax.inset_axes_from_rect. Pretty straight forward, but note that the transData one moves under zoom and pan. Note that I chose not to go with the bbox_to_anchor, and loc approach. I understand that stuff, but it seems needlessly complicated. Maybe as a refinement. import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.plot(range(10)) axin1 = ax.inset_axes_from_rect([0.8, 0.1, 0.15, 0.15]) axin2 = ax.inset_axes_from_rect([5, 7, 2.3, 2.3], transform=ax.transData) plt.show() Getting closer: This is a duplication of https://matplotlib.org/gallery/axes_grid1/inset_locator_demo2.html#sphx-glr-gallery-axes-grid1-inset-locator-demo2-py import matplotlib.pyplot as plt import numpy as np def get_demo_image(): from matplotlib.cbook import get_sample_data import numpy as np f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False) z = np.load(f) # z is a numpy array of 15x15 return z, (-3, 4, -4, 3) fig, ax = plt.subplots(figsize=[5, 4], constrained_layout=True) Z, extent = get_demo_image() Z2 = np.zeros([150, 150], dtype="d") ny, nx = Z.shape Z2[30:30 + ny, 30:30 + nx] = Z # extent = [-3, 4, -4, 3] ax.imshow(Z2, extent=extent, interpolation="nearest", origin="lower") axins = ax.inset_axes_from_rect([0.5, 0.5, 0.47, 0.47]) axins.imshow(Z2, extent=extent, interpolation="nearest", origin="lower") # sub region of the original image x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9 axins.set_xlim(x1, x2) axins.set_ylim(y1, y2) axins.set_xticklabels('') axins.set_yticklabels('') ax.zoom_inset_indicator(axins) fig.canvas.draw() plt.show() EDIT: methods renamed inset_axes_rect to allow other APIs in the future. PR Checklist Has Pytest style unit tests Code is PEP 8 compliant New features are documented, with examples if plot related Documentation is sphinx and numpydoc compliant Added an entry to doc/users/next_whats_new/ if major new feature (follow instructions in README.rst there) Documented in doc/api/api_changes.rst if API changed in a backward-incompatible way

Open Graph Description: PR Summary and we are back to inset_axes.... @efiring suggested just going back to inset_axes. Since that was what we started with, I didn't object. The original argument for the longer name w...

X Description: PR Summary and we are back to inset_axes.... @efiring suggested just going back to inset_axes. Since that was what we started with, I didn't object. The original argument for the longer na...

Opengraph URL: https://github.com/matplotlib/matplotlib/pull/11026

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