This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. ====== Reading Isochrones Data from Text Files in Python ====== This Python script demonstrates how to read and parse isochrone data from text files. It involves opening a file, reading its contents, and using regular expressions to identify and parse tables of isochrone data. The data is then loaded into pandas dataframes for each isochrone table found, making it easier to handle and analyze the numerical data contained within. <code python> import pandas as pd import numpy as np import re from io import StringIO filename="isochrones_example.txt" def read_iso(filename): with open(filename) as f: contents = f.read() lines = contents.split('\n') tabSep = r'((?:# number of EEPs, cols =\s+)(\d+)(?:\s+)(\d+))' tables = map(lambda x: (x[0], re.search(tabSep, x[1])), enumerate(lines)) fTables = list(filter(lambda x: x[1], tables)) sepTables = map(lambda x: lines[x[0][0]:x[1][0]], zip(fTables[:-1], fTables[1:])) isos = list() for table in sepTables: header = re.findall(r'[^\s\\#]+', table[2]) okayTab = filter(lambda x: x!='' and x.lstrip()[0] != '#', table) strTab = '\n'.join(okayTab) df = pd.read_csv(StringIO(strTab), sep=r'\s+', names=header) isos.append(df) return isos </code>