![]() InlineSetting: Corrected an issue with inline calls to Lua or plugins when a MeterStyle is used. This is only supported with Windows 10/11, and will cause the wallpaper to be spanned across multiple monitors. Codes from \u0000 to \uFFFF are supported.īangs: Added Span to the list of available Position parameter values for the !SetWallpaper bang. WebParser measure: Added a new DecodeCodePoints option to WebParser child measures, to decode Unicode code point values in the source like \u00A7, which would be §. Ping plugin: Added support for IPv6 addresses. Registry measure: Added support for value type REG_BINARY for registry keys.Ībout / Skins: You can now right-click and copy the name of a measure from the dialog. WiFiStatus plugin: Added 802.11ad and 802.11ax to supported PHY values. Settings: Automated the process of restarting Rainmeter when the value of the checkbox "Use hardware acceleration" is changed. Lets see what they think and say about it.SysInfo plugin: Added new LAST_SLEEP_TIME and LAST_WAKE_TIME measurements to the SysInfoType option.īangs: Added a new !SetWindowPosition bang to allow for dynamically setting the WindowX and WindowY position, and optionally AnchorX and AnchorY anchor settings for a skin window.īangs: Added a new !SetAnchor bang to allow for dynamically setting the AnchorX and AnchorY anchor settings for a skin window. If the xscale is set to 'log' and there are negative values in x, take the position of minimum of x 0))Īx.set_ylim(bottom = y - y * margin)Īs I said, I am surprised matplotlib doesn't do this automatically so I submitted this GitHub Issue for matplotlib. I worked out how to fix the issue in a generalized manner: ![]() ax.relim() and ax.autoscale_view() did not help. I am puzzled that matplotlib doesn't update this automatically. Of course I could manually set ylim but that is not ideal if I don't know the exact values by head. This results in nans which are simply omitted when plotting (and this is what I want) but the y-axis limits are not updated for these missing values.Īnd when I add the log scale on the x-axis, the negative values are omitted but the y-axis is not updated x = np.arange(-10, 11, 1) Because there are some negative values in x, the log10 can not be computed for all. ![]() I am plotting my data (x,y) and want to show the x-axis in logscale. ![]()
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