Set d.fixed on the desired nodes to true, and initialize d.x and d.y to the desired position. These nodes will then still be part of the simulation, and you can use the normal display code (e.g., setting a transform attribute); however, because they are marked as fixed, they can only be moved by dragging and … Read more
This is late, but here is my python implementation of the flowingdata NBA heatmap. updated:1/4/2014: thanks everyone # -*- coding: utf-8 -*- # <nbformat>3.0</nbformat> # ———————————————————————— # Filename : heatmap.py # Date : 2013-04-19 # Updated : 2014-01-04 # Author : @LotzJoe >> Joe Lotz # Description: My attempt at reproducing the FlowingData graphic in … Read more
The following should work: from matplotlib import pyplot as plt plt.imshow(data, interpolation=’nearest’) plt.show() If you are using Jupyter notebook/lab, use this inline command before importing matplotlib: %matplotlib inline A more featureful way is to install ipyml pip install ipympl and use %matplotlib widget see an example.
You need to map attributes to aesthetics (colours within the aes statement) to produce a legend. cols <- c(“LINE1″=”#f04546″,”LINE2″=”#3591d1″,”BAR”=”#62c76b”) ggplot(data=data,aes(x=a)) + geom_bar(stat=”identity”, aes(y=h, fill = “BAR”),colour=”#333333″)+ #green geom_line(aes(y=b,group=1, colour=”LINE1″),size=1.0) + #red geom_point(aes(y=b, colour=”LINE1″),size=3) + #red geom_errorbar(aes(ymin=d, ymax=e, colour=”LINE1″), width=0.1, size=.8) + geom_line(aes(y=c,group=1,colour=”LINE2″),size=1.0) + #blue geom_point(aes(y=c,colour=”LINE2″),size=3) + #blue geom_errorbar(aes(ymin=f, ymax=g,colour=”LINE2″), width=0.1, size=.8) + scale_colour_manual(name=”Error Bars”,values=cols) + … Read more
I generally break my projects into 4 pieces: load.R clean.R func.R do.R load.R: Takes care of loading in all the data required. Typically this is a short file, reading in data from files, URLs and/or ODBC. Depending on the project at this point I’ll either write out the workspace using save() or just keep things … Read more
I used %matplotlib inline in the first cell of the notebook and it works. I think you should try: %matplotlib inline import matplotlib import numpy as np import matplotlib.pyplot as plt You can also always start all your IPython kernels in inline mode by default by setting the following config options in your config files: … Read more
Firstly freq_series.plot returns an axis not a figure so to make my answer a little more clear I’ve changed your given code to refer to it as ax rather than fig to be more consistent with other code examples. You can get the list of the bars produced in the plot from the ax.patches member. … Read more