The imshow() function in pyplot module of matplotlib library is used to display data as an image; i.e. - Move title-setting out to make it hopefully clearer (it's the first row that matters, not the one with `extent=None`). The origin for imshow default to the upper left rather than the lower left. - Move title-setting out to make it hopefully clearer (it's the first row that matters, not the one with `extent=None`). Matplotlib是Python最著名的2D绘图库，该库仿造Matlab提供了一整套相似的绘图函数，用于绘图和绘表，强大的数据可视化工具和做图库，适合交互式绘图，图形美观。 imshow：热图（heatmap）是数据分析的常用方法，通过色差、亮度来展示数据的差异、易于理解。 The imshow documentation as of version 1.1.0 contains the following statement: *extent*: [ None | scalars (left, right, bottom, top) ] Data limits for the axes. The image is stretched individually along x and y to fill the box.

热图（heatmap）是数据分析的常用方法，通过色差、亮度来展示数据的差异、易于理解。Python在Matplotlib库中，调用imshow()函数实现热图绘制。 __version__ matplotlib. jklymak merged 4 commits into matplotlib: master from tacaswell: doc_imshow_extent May 2, 2018 Merged DOC: add tutorial explaining imshow *origin* and *extent* #10947 matplotlib 进阶之origin and extent in imshow. The default assigns zero-based row, column indices to the *x*, *y* centers of the pixels.

matplotlib.pyplot.imshowの 'extent'の使い方 (2) ... imshowで 'extent'オプションを使用する方法を理解しようとしています。 しかし、私が見つけた例では、各コーナーにxとyを割り当てる方法は説明していません（私の場合、3つのコーナーの情報があります）。 - Add show() to make the example runnable from the command-line. さて，extentを使用してみる．下記はimshow()の公式説明からの抜粋． extent: scalars (left, right, bottom, top), optional The bounding box in data coordinates that the image will fill. - Define the kwargs to annotate() at a single call site rather than in a separate dict. In the matplotlib imshow blog, we learn how to read, show image and colorbar with a real-time example using the mpimg.imread, plt.imshow() and plt.colorbar() function. Matplotlib学习笔记——密度线与等高线 08-16 1596 . plt.imshow(z,extent=[-1,1,-1,1]) How to change imshow axis values (labels) in matplotlib ? Change imshow axis values using the option extent. What doesn't seem to work is when I don't use imshow at all but just do contour(Z, extent=extent). matplotlib 进阶之origin and extent in imshow. I've often seen this happening and I actually never considered it to be an issue.
To change the axis values, a solution is to use the extent option: extent = [x_min , x_max, y_min , y_max] for example . That is, the axes are just rows and columns of the pixels, not the extent I specified, whereas the extent I specified shows up when I only use imshow. imshow has a parameter to specify the origin, it's named origin. But imshow is refusing to listen to 'aspect' when I set 'extent' (and interpolation is nearest, although I have not checked what changing that does).