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utilities

Various generally useful codes and scripts.

Contents:

parsetextable.py

A function to read in a LaTeX-formatted table and return a numpy array containing the values and uncertainties for specified parameter columns.

Inputs:

  • tablein: a two-dimensional string array containing the table to be parsed.
  • ecolumns: an array containing the indices of the N columns which are to be returned. Each of these columns should contain a value and associated uncertainty, which may be asymmetric.

Returns:

  • temparray: an array with 3N columns, where each set of three columns contain the value, positive uncertainty, and negative uncertainty, respectively, from each of the N specified columns in the input table.

I would typically call this code as:

from parsetextable import parsetextable
from readcol import readcol
tablein = readcol('example.tex',twod=True,fsep='&')
ecolumns = [1, 2, 3, 5]
tableout = parsetextable(tablein, ecolumns)

The code assumes a LaTeX-formatted table with values and their uncertainties in the same column, for example:

Parameter name & $1.0 \pm 0.5$ & $1.0_{-0.3}^{+0.4}$ \\

Would be returned as:

np.array([1.0, 0.5, 0.5, 1.0, 0.4, 0.3])

Uncertainties must be specified as in this example in order for the code to properly parse the table.

Dependencies: numpy. I typically use readcol.py (https://github.com/keflavich/agpy/blob/master/agpy/readcol.py) to read in table data, but any method to read an ascii LaTeX table into a string array will work.

tablecatter.py

A script to read in an arbitrary number of two-column LaTeX-formatted tables (a left-hand column holding parameter names and a right-hand column holding parameter values), and output a new table with a left-hand column holding the parameter names and then one column of parameter values per input file.

Call as:

python tablecatter.py input1.tex input2.tex input3.tex output.tex

Where input1.tex ... inputn.tex is an arbitrarily long list of input LaTeX tables, and output.tex is the name of the output table that will be created.

Dependencies: numpy, argparse, sys, readcol.py (https://github.com/keflavich/agpy/blob/master/agpy/readcol.py)

Known bugs and issues: -The parameters in the output file will be sorted in alphabetical order, rather than whatever order was in the input files.

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