s_int32 = Signal(samples=np.array([-20, -10, 0, 10, 20], dtype=np.int32),
timestamps=timestamps,
name='Int32_Signal',
unit='i4')
# float64
s_float64 = Signal(samples=np.array([-20, -10, 0, 10, 20], dtype=np.int32),
timestamps=timestamps,
name='Float64_Signal',
unit='f8')
# create empty MDf version 4.00 file
mdf4 = MDF(version='4.00')
# append the 3 signals to the new file
signals = [s_uint8, s_int32, s_float64]
mdf4.append(signals, 'Created by Python')
# save new file
mdf4.save('my_new_file.mf4')
# convert new file to mdf version 3.10 with compression of raw channel data
mdf3 = mdf4.convert(to='3.10', compression=True)
print(mdf3.version)
# prints >>> 3.10
# get the float signal
sig = mdf3.get('Float64_Signal')
print(sig)
# prints >>> Signal { name="Float64_Signal": s=[-20 -10 0 10 20] t=[ 0.1 0.2 0.30000001 0.40000001 0.5 ] unit="f8" conversion=None }
timestamps=timestamps,
name='Float64_Signal',
unit='f8')
# create empty MDf version 4.00 file
mdf4 = MDF(version='4.10')
# append the 3 signals to the new file
signals = [s_uint8, s_int32, s_float64]
mdf4.append(signals, 'Created by Python')
# save new file
mdf4.save('my_new_file.mf4', overwrite=True)
# convert new file to mdf version 3.10 with lowest possible RAM usage
mdf3 = mdf4.convert('3.10', memory='minimum')
print(mdf3.version)
# get the float signal
sig = mdf3.get('Float64_Signal')
print(sig)
# cut measurement from 0.3s to end of measurement
mdf4_cut = mdf4.cut(start=0.3)
mdf4_cut.get('Float64_Signal').plot()
# cut measurement from start of measurement to 0.4s
mdf4_cut = mdf4.cut(stop=0.45)
mdf4_cut.get('Float64_Signal').plot()
# filter some signals from the file
timestamps=timestamps,
name='Float64_Signal',
unit='f8')
# create empty MDf version 4.00 file
mdf4 = MDF(version='4.00')
# append the 3 signals to the new file
signals = [s_uint8, s_int32, s_float64]
mdf4.append(signals, 'Created by Python')
# save new file
mdf4.save('my_new_file.mf4')
# convert new file to mdf version 3.10 with load_measured_data=False
mdf3 = mdf4.convert(to='3.10', load_measured_data=False)
print(mdf3.version)
# prints >>> 3.10
# get the float signal
sig = mdf3.get('Float64_Signal')
print(sig)
# prints >>> Signal { name="Float64_Signal": s=[-20 -10 0 10 20] t=[ 0.1 0.2 0.30000001 0.40000001 0.5 ] unit="f8" conversion=None }
# cut measurement from 0.3s to end of measurement
mdf4_cut = mdf4.cut(start=0.3)
mdf4_cut.get('Float64_Signal').plot()
# cut measurement from start of measurement to 0.4s
mdf4_cut = mdf4.cut(stop=0.45)
mdf4_cut.get('Float64_Signal').plot()
