Since this is a lot less data to work with, we'll take prizes from 1970 onwards.
Country | Nobels in Physics | 2016 population (millions) | Nobels per million |
---|---|---|---|
Denmark | 2 | 5.7 | 0.350877193 |
def plotdf(df, x, y, sample=10000): | |
df = df[[x, y]].sample(sample).copy() | |
for col in [x, y]: | |
df = df[(df[col] > df[col].quantile(0.01)) & (df[col] < df[col].quantile(0.99))] | |
df.plot( | |
x, y, | |
linestyle='', marker='.', | |
markersize=0.1) |
def plotdf(df, x, y, c=None, sample=10000, alpha=0.5, color=None, | |
cmap='viridis', clabel=None, xlabel=None, ylabel=None, | |
noise_df=None, percentile=0.98, use_noise_df_for_framing=False, | |
noise_alpha=0.1): | |
cols_to_get = [x, y] | |
if c is not None: | |
cols_to_get.append(c) | |
df = df[cols_to_get] |
" Delete up to begin{document}, and from end{document} to before the bibliography. | |
:%s/\\cite{[a-zA-Z0-9_]\+}/REF/g | |
:%s/\\citealt{[a-zA-Z0-9_]\+}/REF/g | |
:%s/\\cref{[a-zA-Z0-9_:]\+}/REF/g | |
:%s/\\caption{//g | |
:%s/\$\$.\{-}\$\$/REF/g | |
:%s/\$.\{-}\$/REF/g | |
:%s/\\[a-zA-Z_]\+{.*}/ /g | |
:%s/\\[a-zA-Z_]\+/ /g |
#!/bin/bash | |
#This builds vim with python + python3 support in a conda environment. No sudo required! Replace the directories to your own. | |
vi_cv_path_python=/mnt/home/mcranmer/miniconda3/envs/py27/bin/python \ | |
vi_cv_path_python3=/mnt/home/mcranmer/miniconda3/envs/main/bin/python \ | |
./configure \ | |
--with-features=huge \ | |
--enable-multibyte \ | |
--enable-rubyinterp=yes \ |
########################################## | |
#emcee example: | |
########################################## | |
import numpy as np | |
import emcee | |
# Number of samples for each chain. | |
N_samp = 1000 | |
def log_prob(x): |
Title: Composite Quasar Spectra From the Sloan Digital Sky Survey | |
Authors: Vanden Berk D.E., Richards G.T., Bauer A., Strauss M.A., | |
Schneider D.P., Heckman T.M., York D.G., Hall P.B., Fan X., Knapp G.R., | |
Anderson S.F., Annis J., Bahcall N.A., Bernardi M., Briggs J.W., | |
Brinkmann J., Brunner R., Burles S., Carey L., Castander F.J., | |
Connolly A.J., Crocker J.H., Csabai I., Doi M., Finkbeiner D., | |
Friedman S., Frieman J.A., Fukugita M., Gunn J.E., Hennessy G.S., | |
Ivezic Z., Kent S., Kunszt P.Z., Lamb D.Q., Leger R.F., Long D.C., | |
Loveday J., Lupton R.H., Meiksin A., Merelli A., Munn J.A., | |
Newberg H.J., Newcomb M., Nichol R.C., Owen R., Pier J.R., Pope A., |
from IPython.display import set_matplotlib_formats | |
set_matplotlib_formats('pdf', 'svg') | |
import matplotlib | |
import seaborn as sns | |
sns.set(font_scale=1.3) | |
sns.set_style("darkgrid", {"axes.facecolor": ".95"}) | |
import matplotlib.pyplot as plt |
#!/bin/bash | |
################################## | |
# | |
# THE ARCHIVE TRACKER | |
# | |
# REF: https://gist.github.com/markwk/c85a8a72bc8c03d0f510262bb5219a34/ | |
# | |
# INTRODUCTION: | |
# Daily script to navigate to a directory of plain text files, | |
# add files to git repo, calculate key stats, store stats to csv |