I would like to be able to have a user drag points across an XY-plane, resulting in a histogram (in Python 3.3).
Consider the following picture, in which the red shows the motion the mouse made (start of arrow is the CLICK, end of the arrow is when the user LETS GO):
Is there any package this could be accomplished in, or do you consider would be of great help? The goal is to be able to create a discrete histogram having this shape.
I guess what I need is to be able to record a dragged path?
In R you can use locator() to register left mouse clicks on the current device. You could take these locations and build the histogram from this. I'm quite sure this will only works with discrete clicks, not a smooth dragging motion. See ?locator() for more details about this function.
http://pygooglechart.slowchop.com/
Is a Python wrapper for the Google Chart API.
Just take a look at the Documentation.
Especially check the Examples from the github
https://github.com/gak/pygooglechart/tree/master/examples
Related
i want to create a plot with 13 different arrow styles for a vector field showing the stream of a sea. I want to use very specific arrows which are not bult in FancyArrowPatch. Is ther a possibility to use a selfmade design as arrow in python ? Is it possible to somehow add custom arrow styles to the FancyArrowPatch function ?
I have attached the image I want to reproduce with Python (taken from bsh.de/DE/DATEN/Stroemungen/stroemungen_node.html):
My best try was to produce this one:
Which is not quite satisfying yet. I would like to have the same arrows as seen in the first image. If you have suggestions how to make the image fancier I am open for that too.
I have built a GUI with matplotlib and it contains several plots of values versus time. Now I need a special plot which just shows if a value is on or off (binary state).
Kinda like a control lamp on an analog control panel. I have 5 of those on/off values and I dont know how to do it the best way.
The "lamps" must be updateable because I stream the data from serial and analyze it in real time in my GUI.
I attached a picture where you see my current GUI. In the bottom right corner is now a bar chart, I tried to visualize the ON/OFF state with a bar, but it didn't work well and I wasn't able to animate it.
So yeah, how could I display 5 values with each an ON/OFF state in that area?
Instead of passing via bar charts I would directly plot a number of rectangles and then dynamically change their color.
You can find the documentation for rectangular patches here: http://matplotlib.org/api/patches_api.html#matplotlib.patches.Rectangle
If you need some pointers on how to animate such a patch have a look here:
https://nickcharlton.net/posts/drawing-animating-shapes-matplotlib.html
I have been all over the internet trying to find the answer to this one and I've reached the end of my patience. What I am trying to achieve is pretty much what the standard bend deformer does but the only difference is I want it to unfold along a pre-defined curve. There are literally hundreds of tutorials about the bend deformer all doing the same thing, unfolding along a flat plane but none on how to do it along a curved surface. I have also tried paint effects with control curves to no avail and baking the bend deformer into the geometry then curving it afterwards. This last option didn't work as I no longer had the control I required. It seems from my search that probably the only way to do this would be through a Mel or Python script and I was wondering would anyone be able to help?
something like this?
Constrain -> Motion Patch -> Attach to Motion Patch + Flow Path Object
Lattice deformers themselves are skinnable, so you can run a skeleton or bend deformer through a lattice to maniuplate it's shape. This will also let you control the twist along the deformation. Animate the object you want to deform into the area of influence of the lattice to create the follow effect, while animating the deformation of the lattice itself at the same time to create the follow effect.
Or, you can just make the lattice follow the path using a spline IK control.
I'm writing a web interface for a database of genes values of some experiments with CGI in Python and I want to draw a graph for the data queried. I'm using matplotlib.pyplot, draw a graph, save it, and perform it on the web page. But usually there are many experiments queried hence there are a lot of values. Sometimes I want to know which experiment does one value belong to because it's a big value, whereas it's hard to identify because the picture is small in size. The names of the experiments are long strings so that it will mess the x axis if I put all the experiment names on the x axis.
So I wonder if there is a way to draw a graph that can interact with users, i.e. if I point my mouse to some part on the graph, there would be one small window appears and tells me the exact value and what is the experiment name here. And the most important is, I can use this function when I put the graph on the web page.
Thank you.
What you want is basically D3.js rendering of your plots. As far as I know, there are currently three great ways of achieving this, all under rapid development:
MPLD3 for creating graphs with Matplotlib and serving them as interactive web graphics (see examples in Jake's blog post).
Plotly where you can either generate the plots directly via Plotly or from Matplotlib figures (e.g. using matplotlylib) and have them served by Plotly.
Bokeh if you do not mind moving away from Matplotlib.
I have some GPS position recordings, which I want to draw into a map (e.g. OpenStreetMap) and save this as an image file.
I'm using python. I've found osm-gps-map as a candidate library to do the visualization, but apparantly the API lacks some functionality to satisfy all of my needs. What I need is a library that does:
draw stuff into a map (e.g. an OSM-based map), i.e. a list of GPS positions.
automatically adjust view (scale/position) to fit in all drawn positions
save this view to an image file
I seriously want to avoid being forced to manually make a screenshot from a widget or a browser window. And if possible I also want to avoid to implement the necessary projection functionality by myself (as in here). Does anyone know a library/toolchain that provides the desired functionality (if possible for use by Python)?
You may want to consider using Basemap for matplotlib. Here is a blog post describing how to use this package with OSM.
There are examples of how to draw custom GPS points on top of OSM background map using Matplotlib Basemap, Matplotlib or Cairo in GeoTiler project: https://github.com/wrobell/geotiler/tree/master/examples.