guide_colorbar()/guide_colourbar() 用于连续变量的图例 guide_legend() 用于离散变量的图例,也可以用于连续变量 guides() 将_colorbar和_legend嵌套进去,方便映射,如guides(fill = guide_colorbar()) 可以在scale_xxx()标度中指定guide类型,guide = "colorbar"或guide = “legend” 常用公共参数: 作用对象...
guide_colorbar(title =waiver(), title.position = NULL, title.theme = NULL, title.hjust = NULL, title.vjust = NULL, label = TRUE, label.position = NULL, label.theme = NULL, label.hjust = NULL, label.vjust = NULL, barwidth = NULL, barheight = NULL, nbin = 20, raster = TRUE, ...
colorbar(im, use_gridspec=True) plt.tight_layout() 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 from mpl_toolkits.axes_grid1 import make_axes_locatable plt.close('all') arr = np.arange(100).reshape((10, 10)) fig = plt.figure(figsize=(4, 4)) im = plt.imshow(arr, ...
colorbar(im, ax=axs[:, -1], shrink=0.6); 1 2 3 4 5 通过shrink参数,我们可以调整colorbar的长度。 fig, axs = plt.subplots(3, 1, figsize=(4, 4), constrained_layout=True) for ax in axs[:2]: im = ax.pcolormesh(arr, **pc_kwargs) fig.colorbar(im, ax=axs[:2], shrink=...
colorbar('location','eastoutside'); shadinginterp;colormapparula % clear defunct parameters clearncidxy lBe careful when you plot the figure, the 1stdimension of the “map_data” is longitude, same as row of the matrix. lThe y-axis of the figure will be “longitude” if “map_dat” ...
下面着重地把图层的参数从头文件中拿出来介绍: tructdisp_fb_info2 { int fd; struct disp_rectsz size[3]; unsigned int align[3]; enum disp_pixel_format format; enum disp_color_space color_space; int trd_right_fd; bool pre_multiply; struct disp_rect64 crop; enum disp_buffer_flags flags;...
硬件参数说明 5.1 LCD 接口参数说明 5.1.1lcd_driver_name Lcd 屏驱动的名字(字符串),必须与屏驱动的名字对应。 5.1.2lcd_model_name Lcd 屏模型名字,非必须,可以用于同个屏驱动中进一步区分不同屏。 5.1.3lcd_if LcdInterface 设置相应值的对应含义为: 0:HVRGB接口 1:CPU/I80接口 2: 3:LVDS接口 4:...
通过shrink参数,我们可以调整colorbar的长度。python fig, axs = plt.subplots(3, 1, figsize=(4, 4), constrained_layout=True) for ax in axs[:2]: im = ax.pcolormesh(arr, **pc_kwargs) fig.colorbar(im, ax=axs[:2], shrink=0.6) im = axs[2].pcolormesh(arr, **pc_kwargs) fig....
通过shrink参数,我们可以调整colorbar的长度。 fig,axs=plt.subplots(3,1,figsize=(4,4),constrained_layout=True)foraxinaxs[:2]:im=ax.pcolormesh(arr,**pc_kwargs)fig.colorbar(im,ax=axs[:2],shrink=0.6)im=axs[2].pcolormesh(arr,**pc_kwargs)fig.colorbar(im,ax=axs[2],shrink=0.6); ...
plt.close('all') arr = np.arange(100).reshape((10, 10)) fig = plt.figure(figsize=(4, 4)) im = plt.imshow(arr, interpolation="none") divider = make_axes_locatable(plt.gca()) cax = divider.append_axes("right", "5%", pad="3%") plt.colorbar(im, cax=cax) plt.tight_layout...