pyb.ADC
Classes
Create an ADC object associated with the given pin. |
Module Contents
- class pyb.ADC.ADC(pin)
Create an ADC object associated with the given pin. This allows you to then read analog values on that pin.
- read() Incomplete
Read the value on the analog pin and return it. The returned value will be between 0 and 4095.
- read_timed(buf, timer) Incomplete
Read analog values into
buf
at a rate set by thetimer
object.buf
can be bytearray or array.array for example. The ADC values have 12-bit resolution and are stored directly intobuf
if its element size is 16 bits or greater. Ifbuf
has only 8-bit elements (eg a bytearray) then the sample resolution will be reduced to 8 bits.timer
should be a Timer object, and a sample is read each time the timer triggers. The timer must already be initialised and running at the desired sampling frequency.To support previous behaviour of this function,
timer
can also be an integer which specifies the frequency (in Hz) to sample at. In this case Timer(6) will be automatically configured to run at the given frequency.Example using a Timer object (preferred way):
adc = pyb.ADC(pyb.Pin.board.X19) # create an ADC on pin X19 tim = pyb.Timer(6, freq=10) # create a timer running at 10Hz buf = bytearray(100) # creat a buffer to store the samples adc.read_timed(buf, tim) # sample 100 values, taking 10s
Example using an integer for the frequency:
adc = pyb.ADC(pyb.Pin.board.X19) # create an ADC on pin X19 buf = bytearray(100) # create a buffer of 100 bytes adc.read_timed(buf, 10) # read analog values into buf at 10Hz # this will take 10 seconds to finish for val in buf: # loop over all values print(val) # print the value out
This function does not allocate any heap memory. It has blocking behaviour: it does not return to the calling program until the buffer is full.
- read_timed_multi(adcs, bufs, timer) bool
This is a static method. It can be used to extract relative timing or phase data from multiple ADC’s.
It reads analog values from multiple ADC’s into buffers at a rate set by the timer object. Each time the timer triggers a sample is rapidly read from each ADC in turn.
ADC and buffer instances are passed in tuples with each ADC having an associated buffer. All buffers must be of the same type and length and the number of buffers must equal the number of ADC’s.
Buffers can be
bytearray
orarray.array
for example. The ADC values have 12-bit resolution and are stored directly into the buffer if its element size is 16 bits or greater. If buffers have only 8-bit elements (eg abytearray
) then the sample resolution will be reduced to 8 bits.timer must be a Timer object. The timer must already be initialised and running at the desired sampling frequency.
Example reading 3 ADC’s:
adc0 = pyb.ADC(pyb.Pin.board.X1) # Create ADC's adc1 = pyb.ADC(pyb.Pin.board.X2) adc2 = pyb.ADC(pyb.Pin.board.X3) tim = pyb.Timer(8, freq=100) # Create timer rx0 = array.array('H', (0 for i in range(100))) # ADC buffers of rx1 = array.array('H', (0 for i in range(100))) # 100 16-bit words rx2 = array.array('H', (0 for i in range(100))) # read analog values into buffers at 100Hz (takes one second) pyb.ADC.read_timed_multi((adc0, adc1, adc2), (rx0, rx1, rx2), tim) for n in range(len(rx0)): print(rx0[n], rx1[n], rx2[n])
This function does not allocate any heap memory. It has blocking behaviour: it does not return to the calling program until the buffers are full.
The function returns
True
if all samples were acquired with correct timing. At high sample rates the time taken to acquire a set of samples can exceed the timer period. In this case the function returnsFalse
, indicating a loss of precision in the sample interval. In extreme cases samples may be missed.The maximum rate depends on factors including the data width and the number of ADC’s being read. In testing two ADC’s were sampled at a timer rate of 210kHz without overrun. Samples were missed at 215kHz. For three ADC’s the limit is around 140kHz, and for four it is around 110kHz. At high sample rates disabling interrupts for the duration can reduce the risk of sporadic data loss.