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Added function for converting to a pandas dataframe #1

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Added function for converting to a pandas dataframe #1

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29 changes: 27 additions & 2 deletions twincatscopeview/svbfile.py
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Original file line number Diff line number Diff line change
Expand Up @@ -163,9 +163,16 @@ def interpolate(self, t):
return np.array(self.Values)

return np.interp(t, self.Time, self.Values)

def toDataFrame(self):
import pandas as pd
df = pd.DataFrame()
df['Time'] = self.Time
df[self.Name] = self.Values
return df.set_index('Time')

def __repr__(self):
return '[%s]*%d @ %0.2f ms: %.25s' % (self.DataType, self.SamplesInFile, self.SampleTime*1000, self.Name)
return '[%s]*%d @ %0.2f ms: %s' % (self.DataType, self.SamplesInFile, self.SampleTime*1000, self.Name)


class SVBFile(collections.abc.Mapping):
Expand Down Expand Up @@ -199,4 +206,22 @@ def __iter__(self):
return iter(self._channels)

def __len__(self):
return len(self._channels)
return len(self._channels)

def toDataFrame(self,keys=None,method='pad'):
'''Return a pandas dataframe containing data from channels with key in keys
df = svbFile.toDataFrame(keys=None,method='pad')
Backfills all missing data in lower frequency channels by pad method (details in pandas df.reindex)
'''
import pandas as pd

if keys is None:
keys = [self[a].Name for a in self]
lens = [self[a].SamplesInFile for a in self]
maxkey = keys[lens.index(max(lens))]
keys.remove(maxkey)

df = self[maxkey].toDataFrame()
for key in keys:
df = self[key].toDataFrame().reindex(df.index, method=method).join(df)
return df