I'm using Chartist to create charts.
i have day labels:
1,2,3,4,5 and so on
I have a serie like this:
1131586,1132542,1133480,1134294,1135146,1136253,1137259,1139946 and so on
No i add a new line with different series of value. The new line show the difference between a point and another like this:
0,956,938,814,852,1107,1006,2687,1859,879,900,765 and so on
The chart show two horizantal lines!
How can i show the lines correctly?
In general if you have 2 data series and a label you would do something like this:
new Chartist.Line('#chart4', {
labels: [1,2,3,4,5],
series: [[1131586,1132542,1133480,1134294,1135146,1136253,1137259,1139946],[0,956,938,814,852,1107,1006,2687]]
});
With the following result (Top Chart):
http://codepen.io/k3no/pen/ozrgNq
Chartist is working correctly, it is your data that needs to be different, or in other words, it needs to be normalized so it can be displayed in the same chart.
You have a few options:
Display 2 charts one on top of the other (middle 2 charts), notice at this point you can already draw your conclusions and the data has not been tampered with, so this is my preferred method whenever possible and data permitting.
Normalize one data series to the other, or both (it's a bit of a complex issue and outside of scope, but here's an introduction):normalization
Preprocess your data so you display a single line.
Related
I've got a flat object that I want to split in multiple pieces (background: I want to print it later, but the surface of my printer is not large enough). I've modeled a simple puzzle-shape:
I would like to use this shape to cut through my object, but if I use the boolean modifier, blender generates vertexes where the shape and the object intersects, but it won't cut the object since my shape got a thickness of 0:
I don't want to make my shape thicker, because otherwise it would delete something of my object...
You are able to separate the two sides of the object from each other, and then rejoin them afterwards if you need to. (This does include the use of the boolean modifier)
First, you should add the boolean modifier to the main mesh where you want it, with the 'difference' operation. Then in edit mode, as you explained before, the vertexes are created but there isn't the actual 'cut' that you were looking for.
I recreated the scenario with a plane intersecting a cube:
This is what it looks like in edit mode after having applied the boolean modifier:
Second what you can do is (after applying the boolean modifier) select the faces you want to be separated in edit mode. Then, pressing P (shortcut for separate, you can get to it by right clicking) click on 'selection' and you should have two separate objects. One of the objects will have what looks like a missing face: If you wanted two separate objects, then you just need to add a face on the object with the missing face and you can look no further. If you wanted separate parts of objects that are separate within edit mode (all together one object in object mode) then you can select the two objects and press crtl+j. Hope this helps somehwhat!
I have selected half of the cube that I want cut out (the selection does not include the face in the middle):
There are now two objects, completely seperated from each other:
I need to draw a graph like this:
I have used plotArrays two times(1.to get curves on the left, 2.to get curves on the right) to get the curves on in two separate plot-windows.
plotArrays(x_neg,SOC_neg,legend=names,id=1);
plotArrays(x_pos,SOC_pos,legend=names,id=2);
The middle region is empty. If I use single plotArrays function combining these data, the ends will automatically connect with each other which I don't want to do.
How can I plot it in single command?
Thank you
Use multiple calls to the function plotArray with the same id and erase=false.
I produce the following figure.
The figure has a number of add_trace applied to it with go.Scatter as arguments.
A list of 4 go.layout.Shape, type="line", with fixed color attributes, is created and the figure layout is updated with that list: fig.update_layout(..., shapes=...)
The traces have labels assigned to them that we can see to the extreme right.
Is there a way to add labels to assign to the lines as well?
You would like your lines to appear in the legend of the figure (https://plot.ly/python/legend/). However, only traces can appear in the legend, not shapes which are a kind of annotation. What you could do is to create the lines using go.Scatter(..., mode='lines'), and then they would appear in the legend. You just need to give the starting and end points in go.Scatter (see https://plot.ly/python/line-and-scatter/).
As the title suggests, I am trying to keep proper table formatting in Sage while displaying multiple tables (this is strictly a formatting question, so no knowledge of the math involved is necessary). Currently, I am using the following code:
my_table2 = table([column1, column2], frame = True)
my_table1 = table([in_the_cone, lengths_in_cone], frame = True)
result_table1 = my_table1.transpose()
result_table2 = my_table2.transpose()
result_table1
result_table2
With this, I receive no output for table1 and the following output for table2:
I want both tables to look this way, but having no output for the first table is no good. So I tried changing the bottom two lines to:
result_table1, result_table2
While this does display both tables, the formatting now looks like:
Is there a way I can display both tables at the same time with the first formatting?
It would have been nice for you to include a full minimal working example, but in any case it does depend a little on the output.
Basically, in a notebook or other "cell", only the last return value prints to the screen in some fashion (sometimes via a "hook" as in your case). But if you use the comma, that implicitly creates a "tuple" which is then printed as a tuple, so you lose that "hook" to display things with math modes (since a tuple doesn't have that).
In this case, the (newish) canonical way to achieve what you want is
pretty_print(result_table1)
pretty_print(result_table2)
though you may want to put print "\n" in between so they don't end up right on top of each other.
Edit: Here is a picture in Jupyter inside of Sage.
I have a datafile with multiple columns, the first two indicating the position and the others indicating other properties (such as number of items sent from this point). eg:
1 1 1 57.11
2 1 2 62.40
3 4 1 31.92
What I want to do is plot the points at the positions, but use values from the other columns to vary point type and size (for example). However I can't seem to find a way to reference columns in the plot. I know of the use of "variable", but I cant find a way to use multiple variables.
What I want is something like the following:
plot "mydata" using 1:2 notitle with points pt ($3) ps ($4/10)
so that pt and ps use the value for each point taken from the third and fourth columns respectively.
Is this even possible in gnuplot? Is there some sort of work-around?
You should be able to use the keyword variable to do something like this:
plot 'datafile' using 1:2:3:4 w points ps variable lc variable
Or possibly mapping the value to a palette:
plot 'datafile' using 1:2:3:4 w points ps variable lc palette
The keyword variable and/or palette causes gnuplot to read the properties from the file and they both require an extra column to be read via using. Of course all the usual stuff with using applies -- You can apply transforms to the data, etc:
plot 'datafile' using 1:2:3:($4+32.) w points ps variable lc palette
I don't remember off the top of my head whether the 3rd column will be the pointsize or the color here, and I don't have time right now to play around with it to figure it out. You can do the experimenting and post a comment, or I'll come back to this when I have time and add an update.
Some of the other properties (e.g. pointtype) can't be changed quite to easily using variable. The easiest way to do this is to use filters with the gnuplot ternary operator.
First, write a function that returns a pointtype based on the data from 1 column of the datafile:
my_point_type(x) = x
Here I use a simple identity function, but it could be anything. Now, you can loop over the pointtypes you want (here 1-10) making a plot for each:
plot [for PT=1:10] 'datafile' u 1:((my_point_type($3) == PT) ? $2:NaN) with points pt PT
This assumes that the column with pointtype information is the 3rd column and that the second column holds the position information. This can also be combine with the stuff that I demonstrated above.