You should be able to do this if you add in a div (#header below) to wrap your contents of 1. If you float #header, the content from #someid will be forced to flow around it. Next, you set #header‘s width to 100%. This will make it expand to fill the width of the containing … Read more
Use foreground color instead of Background color. errorOccured = true; XSSFCellStyle style = workbook.createCellStyle(); style.setFillForegroundColor(IndexedColors.RED.getIndex()); style.setFillPattern(FillPatternType.SOLID_FOREGROUND); row.getCell(0).setCellStyle(style); this will fill the cell background color with RED.
The simple way to initialize to 0 the array is in the definition: char flags[26][80] = {}; If you want to use std::fill, or you want to reset the array, I find this a little better: char flags[26][80]; std::fill( &flags[0][0], &flags[0][0] + sizeof(flags) /* / sizeof(flags[0][0]) */, 0 ); The fill expressed in terms of … Read more
I suggest a solution, which combines a clipping region pygame.Surface.set_clip and drawing a black rectangle with a circular transparent area in the center. Define a radius and create a square pygame.Surface with twice the radius. radius = 50 cover_surf = pygame.Surface((radius*2, radius*2)) Set a white color key which identifies the transparent color (set_colorkey) a nd … Read more
You use an addtional attribute; fill-opacity: This attribute takes a decimal number between 0.0 and 1.0, inclusive; where 0.0 is completely transparent. For example: <rect … fill=”#044B94″ fill-opacity=”0.4″/> Additionally you have the following: stroke-opacity attribute for the stroke opacity for the entire object
Suppose we want to pattern an area between function y=f(x) >0 and y = 0. It is posiible to create different “patterns” by using the following method. (i) Create a file that has 4 columns (x, y, xdelta, ydelta). This file describes a set of lines with the same slope. (ii) Plot data from the … Read more
A possible solution where the loess smoothed data is grabbed from the plot object and used for the geom_ribbon: # create plot object with loess regression lines g1 <- ggplot(df) + stat_smooth(aes(x = x, y = ymin, colour = “min”), method = “loess”, se = FALSE) + stat_smooth(aes(x = x, y = ymax, colour = … Read more
Building off of @gnovice’s answer, you can actually create filled plots with shading only in the area between the two curves. Just use fill in conjunction with fliplr. Example: x=0:0.01:2*pi; %#initialize x array y1=sin(x); %#create first curve y2=sin(x)+.5; %#create second curve X=[x,fliplr(x)]; %#create continuous x value array for plotting Y=[y1,fliplr(y2)]; %#create y values for out … Read more