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from hashlib import md5 | |
def google_md5sum(filen): | |
"""Return Google Drive /Cloud Storage hexadecimal equivalent md5sum. | |
Updates md5 hashalg by reading 8k chunks. Adapted from gsutil.""" | |
hashalg = md5() | |
with open(filen, "rb") as f: | |
f.seek(0) | |
while True: |
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/* | |
Copyright (c) 2019, Michigan State University | |
All rights reserved. | |
Redistribution and use in source and binary forms, with or without | |
modification, are permitted provided that the following conditions are met: | |
1. Redistributions of source code must retain the above copyright | |
notice, this list of conditions and the following disclaimer. | |
2. Redistributions in binary form must reproduce the above copyright | |
notice, this list of conditions and the following disclaimer in the |
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<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
body { | |
background: #fcfcfa; | |
} | |
.stroke { | |
fill: none; |
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df | |
xdf = df[df.index.isin(adf.index.append([bdf.index, cdf.index]))] |
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import PyICU | |
# below from http://stackoverflow.com/questions/13838405/custom-sorting-in-pandas-dataframe | |
df = token_count | |
locale = 'UR.UTF-8' | |
collator = icu.Collator.createInstance(icu.Locale(locale)) | |
def sort_pd(key=None,reverse=False,cmp=None): | |
def sorter(series): |
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#From http://stackoverflow.com/questions/11025123/how-to-convert-r-markdown-to-pdf | |
rmd2pdf.bash: | |
RMDFILE=`echo ${1%%.*}` | |
echo "PROCESSING $RMDFILE" | |
Rscript -e "require(knitr); require(markdown); knit('$RMDFILE.rmd', '$RMDFILE.md'); markdownToHTML('$RMDFILE.md', '$RMDFILE.html', options=c('use_xhml'))" | |
pandoc -s "$RMDFILE.html" -o "$RMDFILE.pdf" | |
for f in *Rmd;do ./rmd2pdf.bash $f;done |