DAMASK_EICMD/lib/damask/asciitable.py

254 lines
8.8 KiB
Python

# $Id$
class ASCIItable():
'''
There should be a doc string here :)
'''
import sys,numpy
__slots__ = ['__IO__',
'info',
'labels',
'data',
]
# ------------------------------------------------------------------
def __init__(self,
fileIn = sys.stdin,
fileOut = sys.stdout,
buffered = True,
labels = True):
self.__IO__ = {'in': fileIn,
'out':fileOut,
'output':[],
'buffered':buffered,
'labels':labels,
'validReadSize': 0,
'dataStart': 0,
}
self.info = []
self.labels = []
self.data = []
# ------------------------------------------------------------------
def _transliterateToFloat(self,x):
try:
return float(x)
except:
return 0.0
# ------------------------------------------------------------------
def output_write(self,
what):
if isinstance(what,list):
for item in what: self.output_write(item)
else:
self.__IO__['output'] += [str(what)]
return self.__IO__['buffered'] or self.output_flush()
# ------------------------------------------------------------------
def output_flush(self,
clear = True):
import sys
try:
self.__IO__['output'] == [] or self.__IO__['out'].write('\n'.join(self.__IO__['output']) + '\n')
except(IOError) as e:
return False
if clear: self.output_clear()
return True
# ------------------------------------------------------------------
def output_clear(self):
self.__IO__['output'] = []
# ------------------------------------------------------------------
def head_read(self):
'''
get column labels by either read the first row, or
--if keyword "head[*]" is present-- the last line of the header
'''
import re
try:
self.__IO__['in'].seek(0)
except:
pass
firstline = self.__IO__['in'].readline()
m = re.search('(\d+)\s*head', firstline.lower())
if self.__IO__['labels']: # table features labels
if m: # found header info
self.info = [self.__IO__['in'].readline().strip() for i in xrange(1,int(m.group(1)))]
self.labels = self.__IO__['in'].readline().split()
else: # no header info (but labels)
self.labels = firstline.split()
self.__IO__['validReadSize'] = len(self.labels)
else: # no labels present in table
if m: # found header info
self.info = [self.__IO__['in'].readline().strip() for i in xrange(0,int(m.group(1)))] # all header is info
# ... without any labels
try:
self.__IO__['dataStart'] = self.__IO__['in'].tell() # current file position is at start of data
except(IOError):
pass
if self.__IO__['validReadSize'] == 0: # in case no valid data length is known
self.__IO__['validReadSize'] = len(self.__IO__['in'].readline().split()) # assume constant data width from first line
# ------------------------------------------------------------------
def head_write(self):
'''
write current header information (info + labels)
'''
if self.__IO__['labels']:
return self.output_write ([
'%i\theader'%(len(self.info)+1),
self.info,
'\t'.join(self.labels),
])
else:
return self.output_write ([
'%i\theader'%(len(self.info)),
self.info,
])
# ------------------------------------------------------------------
def labels_append(self,
what):
'''
add item or list to existing set of labels
'''
if isinstance(what,list):
for item in what: self.labels_append(item)
else: self.labels += [str(what)]
self.__IO__['labels'] = True # switch on processing (in particular writing) of labels
# ------------------------------------------------------------------
def labels_clear(self):
self.labels = []
# ------------------------------------------------------------------
def labels_index(self,
labels):
'''
tell index of column label(s)
'''
if isinstance(labels,list):
idx = []
for label in labels:
try:
idx.append(self.labels.index(label))
except(ValueError):
idx.append(-1)
else:
try:
idx = self.labels.index(labels)
except(ValueError):
idx = -1
return idx
# ------------------------------------------------------------------
def info_append(self,
what):
'''
add item or list to existing set of infos
'''
if isinstance(what,list):
for item in what: self.info_append(item)
else: self.info += [str(what)]
# ------------------------------------------------------------------
def info_clear(self):
self.info = []
# ------------------------------------------------------------------
def data_rewind(self):
self.__IO__['in'].seek(self.__IO__['dataStart'])
# ------------------------------------------------------------------
def data_skipLines(self,lines):
for i in range(lines):
self.__IO__['in'].readline()
# ------------------------------------------------------------------
def data_read(self):
line = self.__IO__['in'].readline() # get next data row
if self.__IO__['labels']:
items = line.split()[:self.__IO__['validReadSize']] # use up to valid size (label count)
self.data = {False: [],
True: items}[len(items) == self.__IO__['validReadSize']] # take if correct number of entries
else:
self.data = line.split() # take all
return self.data != []
# ------------------------------------------------------------------
def data_readLine(self,line):
self.__IO__['in'].seek(self.__IO__['dataStart'])
for i in range(line-1):
self.__IO__['in'].readline()
self.data_read()
# ------------------------------------------------------------------
def data_write(self):
if len(self.data) == 0: return
if isinstance(self.data[0],list):
return self.output_write (['\t'.join(map(str,items)) for items in self.data])
else:
return self.output_write ('\t'.join(map(str,self.data)))
# ------------------------------------------------------------------
def data_writeArray(self,format):
import numpy
'''
write whole numpy array data
'''
return numpy.savetxt(self.__IO__['out'], self.data, fmt=format)
# ------------------------------------------------------------------
def data_append(self,
what):
try:
for item in what: self.data_append(item)
except TypeError:
self.data += [str(what)]
# ------------------------------------------------------------------
def data_set(self,
what,where):
idx = -1
try:
idx = self.labels.index(where)
if len(self.data) <= idx:
self.data_append(['n/a' for i in xrange(idx+1-len(self.data))]) # grow data if too short
self.data[idx] = str(what)
except(ValueError):
pass
return idx
# ------------------------------------------------------------------
def data_clear(self):
self.data = []
# ------------------------------------------------------------------
def data_asFloat(self):
return map(self._transliterateToFloat,self.data)
# ------------------------------------------------------------------
def data_asArray(self,
labels = []):
import numpy
'''
read whole data of all (given) labels as numpy array
'''
if labels == []: indices = range(self.__IO__['validReadSize']) # use all columns
else: indices = self.labels_index(labels) # use specified columns
self.data_rewind()
return numpy.loadtxt(self.__IO__['in'], usecols=indices)