How can I import a .CSV file from Moku:Lab’s Data Logger into MATLAB?
Written by Paul Cracknell
Updated at July 7th, 2024
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Moku:Go
Moku:Go Arbitrary Waveform Generator Moku:Go Data Logger Moku:Go Frequency Response Analyzer Moku:Go Logic Analyzer & Pattern Generator Moku:Go Oscilloscope & Voltmeter Moku:Go PID Controller Moku:Go Spectrum Analyzer Moku:Go Waveform Generator Moku:Go Power Supplies Moku:Go Digital Filter Box Moku:Go FIR Filter Builder Moku:Go Lock-in Amplifier Moku:Go General Moku:Go Logic Analyzer/Pattern Generator Moku:Go Time & Frequency Analyzer Moku:Go Laser Lock Box Moku:Go Phasemeter
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Moku:Lab
Moku:Lab General Moku:Lab Arbitrary Waveform Generator Moku:Lab Data Logger Moku:Lab Digital Filter Box Moku:Lab FIR Filter Builder Moku:Lab Frequency Response Analyzer Moku:Lab Laser Lock Box Moku:Lab Lock-in Amplifier Moku:Lab Oscilloscope Moku:Lab Phasemeter Moku:Lab PID Controller Moku:Lab Spectrum Analyzer Moku:Lab Waveform Generator Moku:Lab Time & Frequency Analyzer Moku:Lab Logic Analyzer/Pattern Generator
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Moku:Pro
Moku:Pro Arbitrary Waveform Generator Moku:Pro Data Logger Moku:Pro Frequency Response Analyzer Moku:Pro Oscilloscope Moku:Pro PID Controller Moku:Pro Spectrum Analyzer Moku:Pro Waveform Generator Moku:Pro Lock-in Amplifier Moku:Pro Digital Filter Box Moku:Pro FIR Filter Builder Moku:Pro Phasemeter Moku:Pro Multi-instrument Mode Moku:Pro General Moku:Pro Logic Analyzer/Pattern Generator Moku:Pro Time & Frequency Analyzer
- Python API
- MATLAB API
- Arbitrary Waveform Generator
- Data Logger
- Digital Filter Box
- FIR Filter Builder
- Frequency Response Analyzer
- Laser Lock Box
- Lock-in Amplifier
- Oscilloscope
- Phasemeter
- PID Controller
- Spectrum Analyzer
- Time & Frequency Analyzer
- Waveform Generator
- Logic Analyzer & Pattern Generator
- Multi Instrument Mode
- Moku Cloud Compile
- Moku general
- LabVIEW
If you only need the data, simply type “load yourfile.csv” at the MATLAB command prompt. CSV files generated by Moku:Lab’s Data Logger also contain a text header with information about when the data was recorded, the instrument settings, and what each column in the data represents. If you want to import this metadata as well, use the command “moku = importdata(‘yourfile.csv’)”
For example, this is the output feedback from
>> moku = importdata("MokuOscilloscopeData_20240707_103108_Traces.csv");
>> moku
moku =
struct with fields:
data: [1024×3 double]
textdata: {9×3 cell}
colheaders: {'% Time (s)' ' Channel A (Input 1) (V)' ' Channel B (Input 2) (V)'}
>> moku.textdata
ans =
9×3 cell array
{'% Moku:Go Oscilloscope' } {0×0 double } {0×0 double }
{'% Channel A (Input 1), DC coupling, 1 x…'} {0×0 double } {0×0 double }
{'% Channel B (Input 2), DC coupling, 1 x…'} {0×0 double } {0×0 double }
{'% Time span 1.255 ms, time offset 0.000…'} {0×0 double } {0×0 double }
{'% Edge trigger: Channel A, level 0.000 …'} {0×0 double } {0×0 double }
{'% Output 1 (off) - Sine, 10.000 000 000…'} {0×0 double } {0×0 double }
{'% Output 2 (off) - Ramp, 50.000 000 000…'} {0×0 double } {0×0 double }
{'% Acquired 2024-07-07 T 10:31:08 -0700' } {0×0 double } {0×0 double }
{'% Time (s)' } {' Channel A (Input 1) (V)'} {' Channel B (Input 2) (V)'}
>> moku.colheaders
ans =
1×3 cell array
{'% Time (s)'} {' Channel A (Input 1) (V)'} {' Channel B (Input 2) (V)'}
>> moku.data
ans =
-0.0006 -0.0012 -0.0037
-0.0006 -0.0024 -0.0037
-0.0006 0 -0.0037
-0.0006 0 -0.0037
-0.0006 0 -0.0037
...
-0.0006 -0.0012 -0.0037
-0.0006 -0.0012 -0.0037
-0.0006 -0.0012 -0.0037
-0.0006 -0.0012 -0.0037
-0.0006 -0.0024 -0.0037