mavdataflash 3.0.0

Read, analyze and visualize *.bin flight data logs recorded by ArduPilot

MAVdataflash

Read, analyze and visualize *.bin flight data logs recorded by ArduPilot

Installation

Installing via PyPI

Install the latest version with:

$ pip install --upgrade mavdataflash

Installing via GitHub

Install with source code,

$ git clone https://github.com/generalaeronautics/MAVdataflash
$ cd MAVdataflash
$ python -m build
$ pip install dist/*.whl

If you get any installation or compilation errors, make sure installed build:

$ pip install build setuptools wheel

Usage

from MAVdataflash import DataFlash

# Create a new instance with DataFlash class
analysis = DataFlash("flight_data.bin")

# Return data in pandas dataframe
analysis.GetData('IMU')

# Return data of specific instance in pandas dataframe
analysis.GetData('IMU', instance=1)

# Return data in polars dataframe
analysis.GetData('IMU', in_polars=True)

# Plot any Parameter and Subparameter VS Time
analysis.Plot('GPS', 'Alt')

# Plot with instance, if parameter data type has more than 1 instance
analysis.Plot('IMU', 'GyrX', instance=1)

# Return the pandas dataframe of EV(Events) data type with Message
analysis.GetEvents()

# Return in polars dataframe
analysis.GetEvents(in_polars=True)

# Return the pandas dataframe of MODE(Modes) data type with Message
analysis.GetModes()

# Return in polars dataframe
analysis.GetModes(in_polars=True)

# Return the pandas dataframe of PARM(Commands) with Values
analysis.GetPARAMS()

# Return Params with Date and Time included in dataframe
analysis.GetPARAMS(with_datetime=True)

# Return Params in dictionary data type
analysis.GetPARAMS(in_dict=True)

# Return in polars dataframe
analysis.GetPARAMS(in_polars=True)

# Return PARM(Command) with Value
analysis.GetPARAM('EK3_IMU_MASK')

# Return the list of Subparameter(Columns) of the Parameter data type
analysis.GetColumns('GPS')