eteq

%%This is often best used in a latex file in two-column mode.  To do that, do:
%%
%%\usepackage{multicol}  % before \begin{document}
%% ... document ...
%%\begin{multicols}{2}
%%\bibliography{filename}{}
%%\bibliographystyle{apj_short_prop}
%%\end{multicols}

letmaik

from __future__ import division
import collections
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from scipy.spatial import Delaunay, KDTree

# an adaptation of https://stackoverflow.com/a/15783581/60982
# using ideas from https://stackoverflow.com/a/9471601/60982

PBarmby

import numpy as np
from astropy.table import Table, Column

def transpose_table(tab_before, id_col_name='ID'):
    '''Returns a copy of tab_before (an astropy.Table) with rows and columns interchanged
        id_col_name: name for optional ID column corresponding to
        the column names of tab_before'''
    # contents of the first column of the old table provide column names for the new table
    # TBD: check for duplicates in new_colnames & resolve
    new_colnames=tuple(tab_before[tab_before.colnames[0]])

laispace

git config --global https.proxy http://127.0.0.1:1080

git config --global https.proxy https://127.0.0.1:1080

git config --global --unset http.proxy

git config --global --unset https.proxy


npm config delete proxy

tillahoffmann

denilsonsa

hugke729

# A function to rasterize components of a matplotlib figure while keeping
# axes, labels, etc as vector components
# https://brushingupscience.wordpress.com/2017/05/09/vector-and-raster-in-one-with-matplotlib/
from inspect import getmembers, isclass
import matplotlib
import matplotlib.pyplot as plt
import numpy as np


def rasterize_and_save(fname, rasterize_list=None, fig=None, dpi=None,

dshulchevskiy

"""
Sublime shortcuts for jupyter notebook
"""

from jupyter_core.paths import jupyter_config_dir
import os
custom_js_path = os.path.join(jupyter_config_dir(), 'custom', 'custom.js')
custom_path = os.path.join(jupyter_config_dir(), 'custom')

bamford

from numpy import pi, exp
from scipy.special import gamma, gammaincinv, gammainc

# Normalisation constant
def b(n):
    return gammaincinv(2*n, 0.5)

# Total luminosity of a 2D Sérsic profile
def sersic_total_lum(Ie, re, n):
    bn = b(n)