I am working with D3 to try and create a simple bar chart. My x-axis uses ScaleTime and my y-axis uses ScaleLinear. In the pictures below, you can see that the values I've put for the domain (date values) go past the the range. Shouldn't the ticks be confined to the line? Been struggling with this for a while and haven't been able to find anything on the internet.
Graph
Inspect Element
EDIT
After applying .clamp, this is the result
New Graph
And here is the main part of my code I'm looking at (some of the values are arbitrary)
Code
I think this is because clamping is disabled by default on time scales:
Constructs a new time scale with the specified domain and range, the default interpolator and clamping disabled.
It's hard to suggest a fix without seeing your code, but try something like this:
d3.scaleTime()
.domain([domain)
.range([range])
.clamp(true)(Date.now())
I've searched through the entire AMCharts 4 bullet documentation as well as numerous Google pages, but I am yet to find the answer. When chart is squeezed to a mobile screen, bullet labels above bars get updated to some complete gibberish (as in the example below left). Those are suppose to be various numeric values (example on the right), including some with a decimal point. No percentage or other symbols.
The text actually gets swapped from normal numbers to the 'processed food' as the screen is being resized. Logic dictates that I must be missing some setting that prevents this sort of undesirable behaviour.
Any help is highly appreciated!
The "gibberish" is supposed to be an ellipsis. It's likely that your page isn't encoded to UTF-8 or the font you're using does not have the Unicode character for an ellipsis.
You can either double-check your encoding, or, if you don't want the ellipsis as at all, disable truncate on your labels. Assuming you're using a LabelBullet for your column labels:
var valueLabel = series.bullets.push(new am4charts.LabelBullet());
// ...
valueLabel.label.truncate = false;
For me the only way to get it show properly was setting value as workingValue
var bullet = series.bullets.push(new am4charts.LabelBullet());
bullet.label.text = "{valueY.workingValue.formatNumber('#')}";
bullet.label.truncate = false;
Need to display line in a line-chart , with the ability to move the tiles, to see a max bitrate value line, to see labels and axis pointers on hover, grouped with a table and time Slider.Y dimension needs to display "bitrate total" or "bitrate Avg" (as defined in code). X dimension needs to display 15 min interval in scope of weeks.
I can upload my data into a table but not into the line graph. I can see points on the graph using .renderDataPoints() but no lines.
I checked the data - could not find any null/NaN values being returned, not using any old version of colors.
The code can be found in https://jsfiddle.net/dani2011/bu2ag0f7/8/. Tried to replace my CSV with var data but nothing is being displayed at the moment in the fiddle. The code as whole is displayed in https://groups.google.com/forum/#!topic/dc-js-user-group/MEslyF2RWRI
Any help would be greatly appreciated.
Here's my go-to-answer for how to put data into a jsFiddle. Basically it's easiest to stick it in an unused tag in the HTML. bl.ocks.org / blockbuilder.org is easier for this.
Here's a fork of your fiddle with the data loaded that way:
http://jsfiddle.net/gordonwoodhull/bu2ag0f7/17/
I also had to remove the spaces from the column names, because those got d3.csv confused and caused the BITRATE calculations to fail.
There was also some stray code inside the renderlet which was failing with a complaint about dim not existing.
The main reason why data was not displaying was because the input groups were not producing usable aggregated data. Your data is very close together in time, so aggregating by week would aggregate everything.
The way to debug this is to put a breakpoint or a console.log before the chart initialization and look at the results of group.all()
In this case bitrateWeekMinIntervalGroupMove and minIntervalWeekBitrateGroup were returning an array with one key/value pair. No lines can be drawn with one point. :)
It looks like you originally wanted to aggregate by 15 minute intervals, so let's get that working.
For whatever reason, there are two levels of aggregation in crossfilter, the dimension level and the group level. The dimension will have first crack at generating a key, and then the group will further refine these keys.
Your min15 function will map each time-key to the 15-minute mark before it, but it needs data that is higher than 15 minutes in resolution. So let's put these groups on the dateDimension, which hasn't already been mapped to a lower resolution:
var minIntervalWeekBitrateGroup = dateDimension.group(min15).reduceSum(function (d) {
return +d.BITRATE
});
var bitrateWeekMinIntervalGroupMove = dateDimension.group(min15).reduce(
...
Great, now there are 30 data points. And it draws lines.
I made the dots a bit smaller :) because at 30 pixels it was hard to see the lines.
Zooming in using the range chart reveals more of lines:
There still seem to be glitches in the reduce function (or somewhere) because the lines drop to zero when you zoom in too far, but hopefully this is enough to get you moving again.
My fork of your fiddle: http://jsfiddle.net/gordonwoodhull/bu2ag0f7/25/
I have data in base 10 (decimal) format, and I need it displayed on the y-axis as hexadecimal (base 16). If I convert the data first d3 can't give me a linear scaled axis. Any ideas on how to go about this? I'd like to just call "toString(16)" somewhere, but I haven't figured out where to make it work. Thanks in advance!
You'll want to use axis.tickFormat() for your axis. The parameter is a format string, and hexadecimal is an "x" or and "X" depending on whether you want lowercase or uppercase letters.
Here's the documentation on axis.tickFormat() and here's the information on format strings.
I am trying to plot a time series (a seismograph) with a corresponding spectrogram in R.
Since I would like to compare the time series with the spectrogram, the X axis labels on the time series need to line up with the X axis labels on the spectrogram. However, I'm having a lot of trouble with this. The best I've been able to do so far is use
par(mar=c(0,10,0,8))
and try to manually force the spectrogram labels to line up with the time series labels by tweaking the spectrogram margin. Of course this is only approximate and they still do not line up perfectly. Is there a way to make the axes generated by the code below match up with each other?
par(mfcol=c(2,1))
plot(seq_len(1000)*0.01, sin(2*pi*seq_len(1000)*0.01), type="l",xlab="Time",
ylab="Amplitude", main="Time Series", xlim=c(1,10))
image(seq_len(1000)*0.01,seq_len(100)*0.1,array(runif(1000000),dim=c(1000,100)),
xlab="Time", ylab="Frequency", main="Spectrogram", xlim=c(1,10))
Thanks in advance!
This seems to work:
par(mfcol=c(2,1))
plot(seq_len(1000)*0.01, sin(2*pi*seq_len(1000)*0.01), type="l", xaxs="i")
image(seq_len(1000)*0.01,seq_len(100)*0.1,array(runif(1000000),dim=c(1000,100)),
xlab="Time", ylab="Frequency", main="Spectrogram")
Just drop the xlim= arguments and use xaxs="i" in the plot() function to match the default for image().
You can either add xaxs='i' to the call to plot (this removes the extra padding so it lines up with the image plot), or you could use par('usr') after the 1st plot to see what the x limits are and use those values in the xlim call in image.
It turns out that this is way easier than it looked initially. The secret is to make a "dummy plot" and then add the image to the plot. So here's how the new, working code looks:
par(mfcol=c(2,1))
plot(seq_len(1000)*0.01, sin(2*pi*seq_len(1000)*0.01),
type="l",xlab="Time",ylab="Amplitude", main="Time Series")
plot(c(0,10), c(0,10), type="n") #Dummy plot with axis limits for our spectrogram
image(seq_len(1000)*0.01,seq_len(100)*0.1,array(runif(1000000),dim=c(1000,100)),
xlab="Time", ylab="Frequency", main="Spectrogram",add=TRUE)
Similar, but conversely, to Greg Snow's answer, you could add xaxs='r' to the call to image as follows:
par(mar=c(0,10,0,8))
par(mfcol=c(2,1))
plot(seq_len(1000)*0.01, sin(2*pi*seq_len(1000)*0.01), type="l",xlab="Time",
ylab="Amplitude", main="Time Series", xlim=c(1,10))
image(seq_len(1000)*0.01,seq_len(100)*0.1,array(runif(1000000),dim=c(1000,100)),
xlab="Time", ylab="Frequency", main="Spectrogram", xlim=c(1,10), xaxs="r")
Don't forget to save your par() setting first.
(maybe I should have put that above)