Gabriel-p

# See:
# http://stackoverflow.com/questions/14095011/using-awk-to-align-columns-in-text-file
# for more info.

head -1 file.dat; tail -n+2 file.dat | rev | column -t | rev > out.dat

Gabriel-p

# See:
# http://unix.stackexchange.com/questions/164207/insert-missing-string-in-multiple-ordered-columns
#
# The string of numbers after 'FIELDWIDTHS' indicate the end position of each column in the file

# The column numbers should be counted *starting from 0*.

gawk -vFIELDWIDTHS="4 7 4 6 8 8 6 8 8 8 7 5 4" -vOFS= '{for (i=1;i<=NF;i++) sub("  $","--",$i);}1' file.dat > out.dat

Gabriel-p

import sys

print 'Versions\n'

print 'python', sys.version

try:
    import numpy
    print 'numpy', numpy.__version__

Gabriel-p

#!/bin/bash
#
# Script to generate a PDF with all differences marked
# via the latexdiff package, between two .tex files.
# See: http://www.ctan.org/pkg/latexdiff
#
# All output is stored in a diff/ sub-folder that is
# created if it doesn't exist.
#
# Run with:

Gabriel-p

Table of Contents

• Branch management
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Branch management

Create a new branch

Gabriel-p

Double Google Chrome icon in Planck.

Taken from here:

sudo leafpad /usr/share/applications/google-chrome.desktop

You'll find 3 entries in this file, [Desktop Entry], [NewWindow Shortcut Group] and [NewIncognito Shortcut Group]. Make sure that under each group there's the following line, it doesn't matter where in the group it is.

StartupWMClass=Google-chrome-stable

Gabriel-p

import matplotlib.pyplot as plt
import numpy as np


def plt_f_chart(fig, x_name, y_name, coord, x_zmin, x_zmax, y_zmin,
                y_zmax, x_data, y_data, st_sizes_arr, labels, center_cl,
                clust_rad, mps):
    '''
    Zoom on x,y finding chart.

Gabriel-p

import numpy as np
import numpy.linalg as la
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse
# import time


# http://stackoverflow.com/questions/14016898/port-matlab-bounding-ellipsoid-code-to-python
# http://stackoverflow.com/questions/1768197/bounding-ellipse/1768440#1768440

Gabriel-p

import numpy as np
import matplotlib.pyplot as plt


def cluster_stars(N, min_v, max_v):
    '''
    '''
    mu = np.random.uniform(min_v, max_v)
    sigma = np.random.uniform(max_v / 10., min_v / 10.)

Gabriel-p

import numpy as np
from scipy.ndimage.filters import maximum_filter
from scipy.ndimage.filters import gaussian_filter
from scipy.ndimage.morphology import generate_binary_structure, binary_erosion
from scipy import stats
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import matplotlib.offsetbox as offsetbox
# from mpl_toolkits.axes_grid1 import make_axes_locatable