I generate a transparent chart that lets the background of a web page be seen through it.
So far I've done this (omited the populating of dataset for brevity):
lineChartObject=ChartFactory.createLineChart("Title","Legend","Amount",line_chart_dataset,PlotOrientation.VERTICAL,true,true,false);
CategoryPlot p = lineChartObject.getCategoryPlot();
Color trans = new Color(0xFF, 0xFF, 0xFF, 0);
lineChartObject.setBackgroundPaint(trans);
p.setBackgroundPaint(trans);
for (int i=0;i<=3;i++){
lineChartObject.getCategoryPlot().getRenderer().setSeriesStroke(i, new BasicStroke(3.0f));
lineChartObject.getCategoryPlot().getRenderer().setBaseItemLabelsVisible(false);
}
Which renders this:
I cannot find a way of:
Removing border of plot (1)
Removing border of leyend as well as making it transparent (3)
Making the labels on the X axis (2) to behave intelligently as the labels of Y axis do (A). Labels of Y axis space themselves so as to not clutter the graph, for example if I rendered the graph smaller, it would show fewer labels, like this:
Edit: X label domain is dates.
For (1) try:
plot.setOutlineVisible(false);
For (2), a common reason for having too many categories along the x-axis is that the data is actually numerical, in which case you should be using XYPlot rather than CategoryPlot. With XYPlot, the x-axis scale adjusts in the same way that the y-axis does.
Edit from OP: Using a TimeSeriesChart with a TimeSeriesCollection as XYDataSet did the work! (fotgot to say X domain is dates)
For (3) try:
LegendTitle legend = chart.getLegend();
legend.setFrame(BlockBorder.NONE);
legend.setBackgroundPaint(new Color(0, 0, 0, 0));
Related
Following a frequent issue in Altair:
merging legends 1
merging legends 2
combining color and shape
I want to plot several point series with line plots and point marks visualized both with different colors, shapes, and stroke dashes:
This works as expected when using resolve_scale
x = np.arange(0, 5, 0.1)
mask = np.ones_like(x)
mask[::2] = 0
df = pd.DataFrame({
"x": x,
"y": np.sin(x)*mask + np.cos(x)*(1-mask),
"y2": np.sin(2*x)*mask + np.cos(2*x)*(1-mask) ,
"col": mask
})
base= alt.Chart(df).mark_line(point=True, size=1).encode(
alt.X("x:Q"),
color = alt.Color("col:N"),
shape = alt.Shape("col:N"),
strokeDash = alt.StrokeDash("col:N")
).resolve_scale(color="independent", shape="independent", strokeDash="independent")
base.encode(alt.Y("y:Q"))
But when concatenated with other charts with a different y-value multiple identical legends appear:
base.encode(alt.Y("y:Q")) | base.encode(alt.Y("y2:Q"))
I understand this is the purpose of "resolve_scale", would really appreciate a workaround.
not using the resolve_scale method or using it on the concatenated chart would get me a legend with every visualized property (color, shape, etc) set apart.
You have set the color, shape, and strokeDash to one thing: "col:N". If you want them to be independent, then define them as different things.
base= alt.Chart(df).mark_line(point=True, size=1).encode(
alt.X("x:Q"),
color = alt.Color("col:N"),
shape = alt.Shape("col:N"),
strokeDash = alt.StrokeDash("col:N")
)
h = base.encode(alt.Y("y:Q"), color=alt.value('red')) | base.encode(alt.Y("y2:Q"), color=alt.value('blue')).resolve_scale(color="independent", shape="independent", strokeDash="independent")
as for a workaround, you could go into the h.hconcat[0].encoding and h.hconcat[1].encoding and change the map to be whatever you want for vega-lite to read. At that point I'd just use a different library.
Hopefully this helps.
I'm looking for a working example to have a .png picture as the background of a scatter chart.
Currently, I use mark_image to draw the background image:
source = pd.DataFrame.from_records([
{"x": 0, "y": 0,
"img": "http://localhost:8888/files/BARTStreamlit/assets/BARTtracksmap.png?_xsrf=2%7Ce13c35be%7Ce013c83479b892363239e5b6a77d97dc%7C1652400559"}
])
tracksmap = alt.Chart(source).mark_image(
width=500,
height=500
).encode(
x='x',
y='y',
url='img'
)
tracksmap
Here is the resulted image drown:
and draw the scater chart,
chart = alt.Chart(maptable).mark_circle(size=60).encode(
x= 'x',
y= 'y',
tooltip=['short_name', 'ENTRY']
).interactive()
chart
I have scaled the x, y channel values for the scatter chart to be in the range of [0, 500]. 500 is the width and height of the background image that I guessed.
Here is the resulted scatter plot:
then I combined the two chart with layer mechanism:
geovizvega = alt.layer(tracksmap, chart)
geovizvega
resulting the following:
The two charts do not align. I'd like to have the scatter dots aligning with the tracks on the background image. How can I achieve that?
To have them aligned, I might need to have the background image's top left corner at the coordinates (0, 0), how can I achieve that? (It seems that the x, y channel values for mark_image is the coordinates of the center of the image? With accurate definition of the x, y channel values, it might be possible to calculate the proper value of x, and y for the top left coroner to be at (0, 0)).
I might need to to have precise dimension of the background image. How?
My above approach may not be the right one. Please show me a working example.
Yes, if you change the values of x and y in your image plot to something like y=-200 and x=200, the image should be more centered in the scatter plot.
You can also change the anchor point of the image using align and baseline:
import altair as alt
import pandas as pd
source = pd.DataFrame.from_records([
{"x": 2, "y": 2, "img": "https://vega.github.io/vega-datasets/data/7zip.png"}
])
imgs = alt.Chart(source).mark_image(
width=100,
height=100
).encode(
x='x',
y='y',
url='img'
)
imgs + imgs.mark_circle(size=200, color='red', opacity=1)
imgs = alt.Chart(source).mark_image(
width=100,
height=100,
align='right',
baseline='top'
).encode(
x='x',
y='y',
url='img'
)
imgs + imgs.mark_circle(size=200, color='red', opacity=1)
After this, you would still need to change the dimensions of the chart so that it has the same size as the image. The default is width=400 and height=300. You can get the dimensions of your image in most image editing software or using the file <imagename> command (at least on linux). But even after getting these dimensions, you would have to do some manual adjustments due to axes taking up some of that space in the chart.
I noticed that sometimes, when I plot the bars using the functions bar() or hist(), the bars plotted have no border. They are a little bit less nice to see, and I would prefer the border or a little bit of space between them.
The figure shows what I got now, plotting three different datasets. The third graph is zoomed in order to show the lack of space between bars.
I get there this has something to do with the 'histc' parameters in bar function. Without the histc parameters the bars have some space between each others, but then the bar will be centered on the edges values, whereas I want the edges values to be, well, EDGES of each bar.
This is (the relevant part of) the code I used:
[...]
if edges==0
%these following lines are used to take the min and max of the three dataset
maxx=max(cellfun(#max, reshape(data,1,size(data,1)*size(data,2))));
minn=min(cellfun(#min, reshape(data,1,size(data,1)*size(data,2))));
edges=minn:binW:maxx+binW;
end
[...]
y{k}=histc(data{r,c}, edges);
bar(edges,y{k} , 'histc');
[...]
I think if you change the color of your bar plots you'll see that there actually is a border it just doesn't show up very well. You can also change the width of the bars so that they are more distinct.
% something to plot
data = 100*rand(1000,1);
edges = 1:100;
hData = histc(data,edges);
figure
subplot(2,1,1)
h1 = bar(edges,hData,'histc');
% change colors
set(h1,'FaceColor','m')
set(h1,'EdgeColor','b')
% Change width
subplot(2,1,2)
h1 = bar(edges,hData,0.4,'histc');
The EdgeColor and LineWidth properties of the Barseries object control the bar outlines. Try using the code and playing with the red, green, blue, and width values to get a better result.
red = 1;
green = 1;
blue = 1;
width = 3;
h = bar(edges,y{k} , 'histc');
set(h,'EdgeColor',[red green blue],'LineWidth',width);
I'm trying to add a second Y axis to a StockChart with the Moxieapps Highcharts wrapper, but without success. I need to add a new axis on the right side of the chart, and would expect the following code to work:
StockChart chart = new StockChart();
YAxis firstYAxis = chart.getYAxis(0);
firstYAxis.setAxisTitleText("First Y axis");
Series firstSeries = chart.createSeries();
firstSeries.setPoints(/* Imagine lots of points. */);
firstSeries.setYAxis(0); // Not required since 0 is the default Y axis.
chart.addSeries(firstSeries);
YAxis secondYAxis = chart.getYAxis(1);
secondAxis.setOpposite(true); // *Should* put the axis on the right side.
secondYAxis.setAxisTitleText("Second Y axis");
Series secondSeries = chart.createSeries();
secondSeries.setPoints(/* Imagine lots of points. */);
secondSeries.setYAxis(1); // *Should* add the series to the second Y axis.
chart.addSeries(secondSeries);
// Somehow the second series ends up being in the navigator...
chart.setOption("navigator/enabled", true);
chart.setOption("scrollbar/enabled", true);
add(chart);
The second Y axis does not even render. If I don't add the second series to the second Y axis, it shows up (as expected) as values on the first Y axis.
Has anyone successfully added multiple Y axes on a StockChart, that can tell me what I'm doing wrong here? Thanks a lot in advance!
I had the same problem and it seems that GWT-HighCharts is the problem. You must create YAxises manually via native calls. Here is the solution;
HighCharts Stock Chart error code 18
Specifically I am looking to add text annotations to specific locations to a JFreeChart that is being output to a png file for web use. Can/how do annotations get added to pie charts. I have been able to successfully add annotations to XYPlots, but don't know how to overlay or add one to a PiePlot.
My full task is to use the PiePlot to create a sort of clock. So far everything has worked great, but now I need to add labels at the 12, 3, 6, and 9 o'clock locations and completely stumped.
Adam
Bit of an old question, but here's how I did something similar (annotation at 1, 2, 3, ... o'clock positions) using a polar plot. It uses a ChoiceFormatter and the NumberTickUnit:
final JFreeChart chart = ChartFactory.createPolarChart(
"HAPI Hourly Usage (UTC)", ds, true, true, false);
final PolarPlot plot = (PolarPlot) chart.getPlot();
// Create a ChoiceFormat to map the degrees to clock positions
double[] limits = new double[12];
String[] formats = new String[12];
limits[0] = 0;
formats[0] = "12";
// degrees = 360/12
for (int i = 1; i < limits.length; i++) {
limits[i] = degrees * (i);
formats[i] = Integer.toString(i);
}
ChoiceFormat clock = new ChoiceFormat(limits, formats);
TickUnit tickUnit = new NumberTickUnit(degrees, clock);
// now configure the plot
plot.setAngleTickUnit(tickUnit); // sets the ticks
plot.setAngleLabelsVisible(true); // makes the labels visible
plot.setAngleLabelPaint(Color.LIGHT_GRAY); // user choice
plot.setAngleGridlinesVisible(true); // must set this to display the
// labels
plot.setAngleGridlinePaint(Color.BLACK); // plot's background color
// (makes lines invisible)
plot.setRadiusGridlinesVisible(false); //turn off the radius value circles
ValueAxis axis = plot.getAxis();
axis.setTickLabelsVisible(false); //turn off the radius value labels
winds up looking like http://img522.imageshack.us/img522/6693/hapihours.jpg
After a fairly strenuous search I don't believe this is currently possible (JFreeChart 1.0.13).
Possible options are:
Create a second chart with an XYPlot to generate a second image with needed annotations. Overlay this image on the page. This option is bad because it doubles the number of chart images to be uploaded.
Set the image as a background on the page and HTML the text over the image. Bad because it isn't maintainable and makes a headache of data transfer.
Personally I am just going to find another way to communicate the information in the title, but I wanted to post my findings for the next person.
Adam