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from qolab.file_utils import save_table_with_header
import datetime
import csv
import numpy as np
import yaml
def headerFromDictionary(d, prefix=''):
header = []
tail = yaml.dump(d, default_flow_style=False, sort_keys=False)
tail = tail.split('\n')
header.extend(tail)
prefixed_header = [prefix+l for l in header]
return prefixed_header
def from_timestamps_to_dates(timestamps):
dates = [datetime.datetime.fromtimestamp(float(ts)) for ts in timestamps]
return(dates)
def loadTraceRawHeaderAndData(fname):
headerstr=[]
data = None
with open(fname) as csvfile:
rowreader = csv.reader(csvfile, delimiter='\t')
for row in rowreader:
if row[0][0:2]=='% ':
headerstr.append(row[0][2:])
else:
rdata = np.array(row, dtype=float)
if data is None:
data=rdata
else:
data=np.vstack((data,rdata))
header=yaml.load(str.join('\n', headerstr), Loader=yaml.SafeLoader)
return(header, data)
def loadTrace(fname):
(header, data) = loadTraceRawHeaderAndData(fname)
label = None
model = None
tr = None
if 'config' not in header:
print('Error: trace has now config')
return None
else:
if 'label' in header['config']:
label = header['config']['label']
if 'model' not in header['config']:
print('Error: unknown trace model')
return None
else:
model = header['config']['model']
if model == 'Trace':
tr = Trace(label)
if data is not None:
tr.values = data
elif 'model' == 'TraceXY':
tr = TraceXY(label)
elif 'model' == 'TraceSetSameX':
tr = TraceSetSameX(label)
tr.config = header['config']
return tr
class Trace:
def __init__(self, label):
self.config = {}
self.config['label'] = label
self.config['model'] = 'Trace'
self.config['version'] = '0.1'
# 'type' is useful to indicate way of representation, make sense on y_vs_x traces
# if set to none we have normal y vs x
# if set to 'timestamp' x will be converted to datetime dates
self.config['type'] = None
self.config['item_format']='.15e'
self.config['tags'] = {}
self.last_saved_pos = 0
self._trace_specific_init()
self.clear_data()
def _trace_specific_init(self):
self.config['unit'] = None
self.values = np.empty(0)
self.last_saved_pos = 0
def clear_last_saved_pos(self):
self.last_saved_pos = 0
def clear_data(self):
self.clear_last_saved_pos()
if self.values is not None:
self.values = np.empty(0, dtype=self.values.dtype)
def plot(self):
import matplotlib.pyplot as plt
plt.plot(self.values, label=self.config['label'])
plt.xlabel('index')
plt.ylabel(f"{self.config['unit']}")
plt.legend()
plt.grid()
def getConfig(self):
return( self.config )
def getData(self):
return( self.values )
def getHeader(self, prefix=''):
d ={}
d['config'] = self.getConfig()
return headerFromDictionary(d, prefix='')
def save(self, fname, last_saved_pos=None, skip_headers_if_file_exist=False, **kwargs):
if last_saved_pos is None:
last_saved_pos = self.last_saved_pos
data = self.getData()
if last_saved_pos > 0:
skip_headers_if_file_exist=True
fname = save_table_with_header(fname, data[last_saved_pos:,:], self.getHeader(), item_format=self.config['item_format'], skip_headers_if_file_exist=skip_headers_if_file_exist, **kwargs)
self.last_saved_pos = data.shape[0]
return(fname)
def addPoint(self, val):
self.values = np.append(self.values, val)
class TraceXY(Trace):
def __init__(self, label):
super().__init__(label)
self.config['model'] = 'TraceXY'
def _trace_specific_init(self):
self.x = None
self.y = None
def clear_data(self):
self.clear_last_saved_pos()
if self.x is not None:
self.x.clear_data()
if self.y is not None:
self.y.clear_data()
def plot(self):
import matplotlib.pyplot as plt
x=self.x.values
if self.config['type'] is not None:
if self.config['type'] == 'timestamp':
x = from_timestamps_to_dates(x)
plt.plot(x, self.y.values, label=self.config['label'])
plt.xlabel(f"{self.x.config['label']} ({self.x.config['unit']})")
plt.ylabel(f"{self.y.config['label']} ({self.y.config['unit']})")
plt.legend()
plt.grid()
def getConfig(self):
config = self.config.copy()
config['TraceX'] = {}
config['TraceX'] = self.x.getConfig()
config['TraceY'] = {}
config['TraceY'] = self.y.getConfig()
return( config )
def getData(self):
data=self.x.values
if data.ndim == 1:
data = data[:, np.newaxis]
vals = self.y.values
if vals.ndim == 1:
vals = vals[:, np.newaxis]
data=np.concatenate((data, vals), 1)
return( data )
def addPoint(self, valX, valY):
self.x.values = np.append(self.x.values, valX)
self.y.values = np.append(self.y.values, valY)
class TraceSetSameX(Trace):
def __init__(self, label):
super().__init__(label)
self.config['model'] = 'TraceSetSameX'
def _trace_specific_init(self):
self.x = None
self.traces={}
def clear_data(self):
self.clear_last_saved_pos()
if self.x is not None:
self.x.clear_data()
for k, tr in self.traces.items():
tr.clear_data()
def addTrace(self, tr):
if len(self.traces) == 0:
self.x = tr.x
trY = tr.y
self.traces[tr.config['label']]=trY
def plot(self):
import matplotlib.pyplot as plt
nplots = len(self.traces.keys())
cnt=0
x=self.x.values
if self.config['type'] is not None:
if self.config['type'] == 'timestamp':
x = from_timestamps_to_dates(x)
for k, tr in self.traces.items():
cnt+=1
if cnt == 1:
ax1=plt.subplot(nplots, 1, cnt)
else:
plt.subplot(nplots, 1, cnt, sharex=ax1)
plt.plot(x, tr.values, label=k)
plt.ylabel(f"{tr.config['label']} ({tr.config['unit']})")
plt.legend()
plt.grid()
plt.xlabel(f"{self.x.config['label']} ({self.x.config['unit']})")
def items(self):
return (self.traces.items())
def keys(self):
return (self.traces.keys())
def getTrace(self, label):
tr = TraceXY(label)
tr.x = self.x
tr.y = self.traces[label]
return (tr)
def getConfig(self):
config = self.config.copy()
config['TraceX'] = {}
config['TraceX'] = self.x.getConfig()
config['TraceY'] = {}
for k,v in self.traces.items():
config['TraceY'][k] = v.getConfig()
return( config )
def getData(self):
data=self.x.values
if data.ndim == 1:
data = data[:, np.newaxis]
for k,v in self.traces.items():
vals = v.values
if vals.ndim == 1:
vals = vals[:, np.newaxis]
data=np.concatenate((data, vals), 1)
return( data )
def addPointToTrace(self, val, name=None):
if name is None:
self.x.values = np.append(self.x.values, val)
else:
a = self.traces[name].values
a = np.append(a, val)
self.traces[name].values = a
if __name__ == '__main__':
print("Testing trace")
x=Trace('x trace')
x.values = np.random.normal(2,2,(4,1))
x.values = np.array(x.values, int)
x.config['unit']='s'
x.config['tags']['tag1'] = 'xxxx'
x.config['tags']['tag2'] = 'xxxx'
x.save('xtrace.dat', skip_headers_if_file_exist=True)
# print(x.getHeader())
y=Trace('y trace')
y.values = np.random.normal(2,2,(4,1))
y.config['unit']='V'
y.config['tags']['ytag2'] = 'yyyy'
xy=TraceXY('xy trace')
xy.config['tags']['xy tag']= 'I am xy tag'
xy.x = x
xy.y = y
xy.save('xytrace.dat')
# print(xy.getHeader())
xyn = TraceSetSameX('many ys trace')
xyn.config['tags']['descr'] = 'I am many ys trace'
xy.config['label']='y1'
xyn.addTrace(xy)
xy.config['label']='y2'
xyn.addTrace(xy)
xy.config['label']='y3'
xyn.addTrace(xy)
xyn.save('xyntrace.dat')
# print(xyn.getHeader())
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