MuonDataLib API documentation: utils 
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`data.utils`.create_data_from_function
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A method to create some fake data. It takes a function, its parameters and the x range to generate some fake data with noise in both x and y. 

**Required Parameters:** 
    - `x1`: The start x value. 
    - `x2`: The end x value. 
    - `dx`: The average step size for the x data. 
    - `params`: A list of the parameters to use in the function 
    - `function`: The callable function to use when creating the data. 

**Optional Parameters:** 
    - `seed`: The seed value for the random number generator *Default value:* `None`.

**Returns:** The fake x and y values. 

**Example:** 

.. code:: python
 
    from MuonDataLib.data.loader.load_events import load_events 
    from MuonDataLib.data.utils import create_data_from_function 
    data = load_events("HIFI00001.nxs", 64) 
    times = data.get_frame_start_times() 
    N = 100 
     
    def linear(x, m c): 
        return m*x + c 
     
    x, y = create_data_from_function(times[0], times[1], (times[-1] - times[0])/N, [1.2, -2.1], linear, seed=1) 
    data.add_sample_log("Fake log", x, y)