4. Data Management

Data are at the center of the PyMoDAQ ecosystem. From their acquisition up to their saving and plotting, you’ll be confronted with them. It is therefore of paramount importance that data objects be well understood and be used transparently by all of PyMoDAQ’s modules.

Note

Moreover, a proper data management system and tools to manipulate and plot data could be very useful for offline data analysis. We invite the reader to look at the Tutorial On Data Manipulation and analysis tutorial for use case examples.

Contents:

• 4.1. What is PyMoDAQ’s Data?
  • 4.1.1. DataBase
  • 4.1.2. Axis
  • 4.1.3. DataWithAxes
  • 4.1.4. Units management
  • 4.1.5. Uncertainty/error bars
  • 4.1.6. DataWithAxes and signal/navigation axes
  • 4.1.7. Uniform and Spread Data
  • 4.1.8. Special DataWithAxes
• 4.2. DataToExport
• 4.3. Saving and loading data
  • 4.3.1. DataSaver/DataLoader
  • 4.3.2. Module Savers
• 4.4. Plotting Data
  • 4.4.1. Plotting scalars: Viewer0D
  • 4.4.2. Plotting vectors/waveforms: Viewer1D
  • 4.4.3. Plotting 2D data
  • 4.4.4. Plotting all other data
  • 4.4.5. Plotting multiple data object: ViewerDispatcher