axis-labels

I'm using the Grouped Bar Chart( http://bl.ocks.org/mbostock/3887051 ), but the text of the x-axis is very long, as shown in attached picture. How to rotate the text? Thank you. VividD A reasonable solution can be found here The result looks like this: Make sure you fully understand this portion of code: svg.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + height + ")") .call(xAxis) .selectAll("text") .style("text-anchor", "end") .attr("dx", "-.8em") .attr("dy", ".15em") .attr("transform", "rotate(-65)"); -65 is the angle the label text is rotated, in degrees. Also, you

I would like to change the labels on the x and y axis on a figure from holoviews to be something other than the internal variable name. It seems the typical way to affect the axis labels is to change the variable names themselves to the label. This is rather inconvenient if you want complex labels, especially if you are frequently converting from other complex data objects like pandas dataframes. Is there a general way to either: (A) change x and y labels of a figure as or after you plot it or (B) set up an human readable alias for variable names? You can change the axis labels as or after you

I generated this graph with the below script. But how could I subscript the "10" in PM10, "2" in SO2, and"2" in NO2? I tried levels(df$variable) <- c("PM[10]","SO[2]", "NO", "NO[2]") , but does not work. Can anyone help? Thank you! variable <- c("PM10","SO2","NO","NO2") coef <- c(10,20,30,40) coef_lb <- c(-5,10,23,27) coef_ub <- c(20,39,39,50) df <- as.data.frame(cbind(variable, as.numeric(coef),as.numeric(coef_lb),as.numeric(coef_ub))) df$variable <- factor(df$variable,levels=c("PM10","SO2","NO","NO2")) levels(df$variable) <- c("PM[10]","SO[2]", "NO", "NO[2]") library(ggplot2) #ggplot 95%CI

My goal is to increase the size of "Revenue ($) " and "Years" . But I do not know how. I am able to increase the "Apples, Durians,Oranges" and "2012, 2013". Below are my codes. JFreeChart chart = ChartFactory.createBarChart3D("", // chart title "Years", // domain axis label "Revenue ($)", // range axis label dataset, // data PlotOrientation.VERTICAL, // orientation false, // include legend false, // tooltips false); CategoryPlot plot = chart.getCategoryPlot(); CategoryAxis axis = plot.getDomainAxis(); CategoryPlot p = chart.getCategoryPlot(); ValueAxis axis2 = p.getRangeAxis(); Font font = new

Working with a Google bar chart , here is what I got: Here my custom options var options = { width: 500, height: 240, legend : 'none', vAxis:{title:'Answers',textStyle:{color: '#005500',fontSize: '12', paddingRight: '100',marginRight: '100'}}, hAxis: { title: 'Percentage', textStyle: { color: '#005500', fontSize: '12', paddingRight: '100', marginRight: '100'} } }; Can't I set a width for these <g> / <rect> tags? I believe the chartArea.left option is what you are looking for. Try something like this, and mess around with chartArea.left and chartArea.width values (should add up to your total

I'm creating my axis with the following text, however the color of the labels is not changing properly; the color the text remains black. Does anybody know why? // create Axis svg.selectAll(".axis") .data(d3.range(angle.domain()[1])) .enter().append("g") .attr("class", "axis") .attr("transform", function(d) { return "rotate(" + angle(d) * 180 / Math.PI + ")"; }) .call(d3.svg.axis() .scale(radius.copy().range([-5, -outerRadius])) .ticks(5) .orient("left")) .append("text") .attr("y", function (d) { if (window.innerWidth < 455){ return -(window.innerHeight * .33); } else{ return -(window

I am trying to plot a graph with two separate x-axis. One being some valve openning and the other the corresponding leak rate. I managed to make it work pretty well, though the format of that secondary axis doesn't always show scientific notations as seen on the figure down bellow Awful overlapping labels, see the upper axis How to force scientific notation display so that the labels wont overlap? Here is the script I am using: #HEADERS import numpy as np import matplotlib.pyplot as plt import matplotlib.ticker from matplotlib import rc rc('font', **{'family':'sans-serif','sans-serif':[

As the title says how do I add superscript fonts to the axis labels in a jqplot graph? I tried using Javascript sup() function and also actual html tags for the titles of the axes but to no vain. Basically I need to display units like m 3 etc. Do I have to tinker with the AxisLabelRenderer or is there any obvious workaround I am missing? Thanks. You can use unicode characters for do that; "Superscript two"(\u00B2) (2) "Superscript three" (\u00B3) (³) "Superscript one" (\00B9) (¹) try this: xaxis: { label: "Units m\u00B3" }, Here's another answer, with HTML entities, which also works in jqPlot: