gpelouze

gpelouze

gpelouze

from astropy import wcs
import numpy as np


def ang_to_pipi(a):
    """ Convert any angle to the range ]-pi, pi]
    Parameters
    ==========
    a : float or astropy.units.Quantity
        Angle to convert. If it has no quantity, assumes it is in radians.

gpelouze

qstat -a 1>&2 | grep -oP "^(\d+)(?=\.)" | xargs -n 1 showstart

gpelouze

include "%L"

<mu> <a> : "α"  Greek_alpha
<mu> <A> : "Α"  Greek_ALPHA
<mu> <b> : "β"  Greek_beta
<mu> <B> : "Β"  Greek_BETA
<mu> <g> : "γ"  Greek_gamma
<mu> <G> : "Γ"  Greek_GAMMA
<mu> <d> : "δ"  Greek_delta
<mu> <D> : "Δ"  Greek_DELTA

gpelouze

import numpy as np
import IPython


def _num_formatter(num):
    return "{:_}".format(num)


def _ipython_formatter(arg, p, cycle):
    p.text(_num_formatter(arg))

gpelouze

/* Smart bookmarklet for NASA ADS (https://ui.adsabs.harvard.edu)

Author: G. Pelouze


# Installation (Works with Firefox, probably elsewhere too)

- Create a new bookmark
- paste the minified js (last line of this snippet) in the 'location' field
- type 'ads' in the 'keyword' field (or any other keyword)

gpelouze

import difflib
def fits_headers_diff(h1, h2, print_diff=False):
    ''' Determine the difference between two FITS headers

    Parameters
    ==========
    h1, h2 : astropy.io.fits.header.Header
        The two FITS headers to compare
    print_diff : bool (default: False)
        If True, print the diff in addition to returning it.

gpelouze

import numpy as np

def aggressive_autoscale(axes, axis, margin=0.1):
    ''' Autoscale an axis taking into account the limit along the other axis.
    
    Example use case: set the x-limits, then autoscale the y-axis using only
    the y-data within the x-limits. (Matplotlib's behaviour would be to use the
    full y-data.)
    
    Parameters