| # -*- coding: utf-8 -*- | |
| # -*- mode: python -*- | |
| # Adapted from mpl_toolkits.axes_grid2 | |
| # LICENSE: Python Software Foundation (http://docs.python.org/license.html) | |
| from matplotlib.offsetbox import AnchoredOffsetbox | |
| class AnchoredScaleBar(AnchoredOffsetbox): | |
| def __init__(self, transform, sizex=0, sizey=0, labelx=None, labely=None, loc=4, | |
| pad=0.1, borderpad=0.1, sep=2, prop=None, **kwargs): | |
| """ |
| # -*- coding: utf-8 -*- | |
| # -*- mode: python -*- | |
| # Adapted from mpl_toolkits.axes_grid2 | |
| # LICENSE: Python Software Foundation (http://docs.python.org/license.html) | |
| from matplotlib.offsetbox import AnchoredOffsetbox | |
| class AnchoredScaleBar(AnchoredOffsetbox): | |
| def __init__(self, transform, size=0, label=None, horizontal = True, style = 'dark', loc=4, | |
| pad=0.1, borderpad=0.1, sep=2, prop=None, **kwargs): | |
| """ |
Example: You have a branch refactor that is quite different from master. You can't merge all of the
commits, or even every hunk in any single commit or master will break, but you have made a lot of
improvements there that you would like to bring over to master.
Note: This will not preserve the original change authors. Only use if necessary, or if you don't mind losing that information, or if you are only merging your own work.
On master:
> git co -b temp
| """"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""" | |
| " NeoBundle " | |
| """"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""" | |
| " install and init NeoBundle | |
| if has('vim_starting') | |
| set nocompatible | |
| set runtimepath+=~/.vim/bundle/neobundle.vim/ | |
| endif |
Oddly enough ggplot2 has no support for a stacked and grouped (position="dodge") bar plot. The seaborn python package, although excellent, also does not provide an alternative. However, I knew it was surely possible to make such a plot in regular matplotlib. Matplotlib, although sometimes clunky, gives you enough flexibility to precisely place plotting elements which is needed for a stacked and grouped bar plot.
Below is a working example of making a stacked and grouped bar plot.
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
| """quick way to create a data frame to try things out""" | |
| df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd']) | |
| df['A'] """ will bring out a col """ df.ix[0] """will bring out a row, #0 in this case""" | |
| """Given a dataframe df to filter by a series s:""" | |
| df[df['col_name'].isin(s)] | |
| """to do the same filter on the index instead of arbitrary column""" | |
| df.ix[s] |
A lot of important government documents are created and saved in Microsoft Word (*.docx). But Microsoft Word is a proprietary format, and it's not really useful for presenting documents on the web. So, I wanted to find a way to convert a .docx file into markdown.
As it turns out, there are several open-source tools that allow for conversion between file types. Pandoc is one of them, and it's powerful. In fact, pandoc's website says "If you need to convert files from one markup format into another, pandoc is your swiss-army knife." But, although pandoc can convert from markdown into .docx, it doesn't work in the other direction.