@@ -8,6 +8,7 @@
 
 🛠️ Bug fixes:
 
+* **Z-axis logarithmic scale** — With the Z-axis logarithmic scale enabled (`ZAxisLogTool`), the color bar, the contrast adjustment panel and the LUT range used logarithms of the image values instead of the image values themselves. The color bar now shows the original image values on a logarithmic scale, with the same colors as the image, consistently with the cursor values. In the contrast adjustment panel, the range now matches the histogram, so that the "Full range", "Eliminate %", "Min." and "Max." actions no longer show the image with a single color. Cross sections and exported images with the LUT applied now follow the logarithmic color mapping. Images with values lower than 1 (e.g. between 0 and 1) are no longer shown with a single color: values lower than or equal to zero are now shown with the lowest color of the colormap. Enabling the logarithmic scale sets the LUT range to the full range of the positive values, and disabling it restores the previous LUT range. The Z-axis log tool is now disabled for image items which do not support it (RGB images, 2D histograms, quadrilateral grids and image filters). API change: with the logarithmic scale, `get_lut_range`, `set_lut_range`, `get_lut_range_full` and the `lut_range` argument of `set_data` now use data units instead of base-10 logarithms, and the new `BaseImageItem.supports_zaxis_log` method tells whether an image item supports the logarithmic scale (closes [Issue #63](https://github.com/PlotPyStack/PlotPy/issues/63))
 * **Editing points of downsampled curves** — With downsampling enabled, moving a curve point modified another point of the curve data than the one shown, since the handle of a drawn point was used as an index into the full data
 * **Curve fitting dialog** — Running the automatic fit no longer raises `OverflowError: argument 1 overflowed` errors when a fitted value ends up far outside the range of its slider (e.g. with the Powell method on a fit range restricted to the tail of a peak). These errors left the slider of the parameter unresponsive, and the values of the following parameters were not displayed. Such values are now shown with a warning icon, whose tooltip gives the slider range, while the slider stays at its nearest end. Typing `nan` or `inf` in a parameter field now restores the previous value instead of raising errors, and the number of slider steps must be at least 2 in the parameter properties dialog (closes [Issue #76](https://github.com/PlotPyStack/PlotPy/issues/76))
 * **Cross-section panels with many hidden images** — X/Y cross-section panels kept one curve for every image ever displayed, even after it was hidden, so plots containing hundreds of hidden images became progressively slower to refresh. Curves are now only kept for visible images, and are recreated when a hidden image is shown again