Creating Your First Block

This tutorial will guide you through creating your first block with the Embedded Python Block. The previous tutorial is here: Streams and Vectors

The example block we are creating will either add or multiply the two blocks based on an input parameter.

Opening Code Editor

The Embedded Python Block is a tool to quickly prototype a block within a flowgraph. Search for the Python Block and add it to the workspace:

Double-click the box to edit the properties. The Embedded Python Block has two properties,

1. Code, a click-box which contains a link to the Python code for the block and
2. Example_Param, an input parameter to the block.

Click on Open in Editor to edit the Python code:

You will be prompted with another choice for which editor to use to write the Python code. Click Use Default:

An editor window will then display the Python code for the Embedded Python Block:

Components of a Python Block

There are three important sections in the Python block code:

1. import statements in green
2. __init__ function in orange
3. work function in red

The import statement includes the NumPy and GNU Radio libraries.

The __init__ statement:

1. Accepts the example_param parameter with a default argument of 1.0
2. Declares the block to have a np.complex64 input and output, which is the GNU Radio Complex Float 32 data type
3. Stores the self.example_param variable from the input parameter

The work function:

1. Has the input input_items and output output_items parameters
2. Applies a mathematical operation to input_items and stores the result in output_items
3. Returns the number of samples produced

Changing Parameter Name

The first step will be to rename example_param to additionFlag to be more descriptive. From the editor menu select Find and Replace:

Enter example_param under Find, and additionFlag under Replace with, and then click Replace All:

The parameter will be changed and the Python code will then look like this:

Now change the default value to be True:

Save the file:

Return back to the GRC window and it will show that the block now displays the Additionflag parameter instead of example_param:

Editing Block Inputs

The default block has a single input and a single output, however we need two inputs for the block. To add an input, add a second np.complex64 to the in_sig list:

Now change the block name to Add or Multiply Block:

Save the file. GRC will now display the block with a second input and the block name will be updated:

Editing Work Function

Now that the variable name has been changed the work function needs to be re-written to provide the desired functionality.

The pseudo code for the Python block is:

if (additionFlag is True)
    then add the two inputs
else
    then multiply the two inputs

Modify the work function so it has the following code:

Remember to indent with multiples of 4 spaces (4, 8, 12, etc.) when starting new lines in Python!

Save the the code.

Connecting the Flowgraph

Return to GRC. Double-click the Add or Multiply Block. Enter True for the Additionflag property:

Click OK to save.

Drag and drop two Signal Source blocks, a Throttle block, a QT GUI Time Sink and a QT GUI Frequency Sink block into the GRC workspace and connect them according to the following flowgraph. Set the frequency of the second Signal Source to 3000:

Running the Flowgraph

Selecting True in the Add or Multiply Block will perform the addition of the two Signal Sources. Running the flowgraph gives the following two plots:

The plots show the summation of the two sinusoids, one at a frequency of 1,000 and another at 3,000. The y-axis in the QT GUI Time Sink plot is partially cutting of the amplitude of the sinusoids. Click the mouse-wheel button to bring up the display menu and select Auto Scale:

The full amplitude of the two sinusoids can then be seen: