Python Variables in GRC: Difference between revisions
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== Introduction to Basic Python Data Types == | == Introduction to Basic Python Data Types == | ||
GNU Radio Companion (GRC) uses Python data types to represent variables. The simplest data type are numbers. Numbers in Python can be floating point, | |||
<pre>floatNumber = 3.14</pre> | |||
or integers | |||
<pre>integerNumber = 2</pre> | |||
Integers can be converted to floating point by casting using ''float()'', | |||
<pre>floatNumber = float(2)</pre> | |||
and floating point numbers can be converted to integers using ''int()'', | |||
<pre>integerNumber = int(3.14)</pre> | |||
* reference filter section that uses tuples to hold filter weights | |||
== Using Python Types in GRC == | == Using Python Types in GRC == | ||
* python data types accepted in variables | * python data types accepted in variables |
Revision as of 20:37, 20 January 2022
This tutorial describes how Python data types are used in GRC and how the variables are displayed.
The previous tutorial, Your First Flowgraph, shows how to build your first simple flowgraph. The next tutorial, Variables in Flowgraphs, describes how to use and modify variables in a more sophisticated flowgraph.
Introduction to Basic Python Data Types
GNU Radio Companion (GRC) uses Python data types to represent variables. The simplest data type are numbers. Numbers in Python can be floating point,
floatNumber = 3.14
or integers
integerNumber = 2
Integers can be converted to floating point by casting using float(),
floatNumber = float(2)
and floating point numbers can be converted to integers using int(),
integerNumber = int(3.14)
- reference filter section that uses tuples to hold filter weights
Using Python Types in GRC
- python data types accepted in variables
How GRC Displays Variable Values
- 32,000 -> 32k
- 0.25 -> 250m
The next tutorial, Variables in Flowgraphs, describes how to use and modify variables in a more sophisticated flowgraph.