Ok, this is the try of this day :

I test this code :

import time
from micropython import const
from machine import Pin, I2C
from pyb import DAC
from step import Stepper
import utime
from bmp280 import *
from sfm3000 import SFM3000
import machine
import sys
import json
import math , time , array , gc
from ulab import numpy as np
import gc

gc.collect()
acquisition_time=1
sampling=100
n_exp_meas = math.floor(acquisition_time * math.ceil(sampling))
print(n_exp_meas)
sens1 = np.zeros(( 6 , n_exp_meas+1))
np.ndinfo(sens1)
print(sens1[3,50])      

n_act_meas = 0
        
        # read bytes as fast as possible
start = time.ticks_us()
while time.ticks_diff(time.ticks_us(), start) < acquisition_time * 1000000:
    curr_time = time.ticks_us()
    if time.ticks_diff(curr_time, start) < (n_act_meas * 999999. / sampling):
        continue
    # read sensor 1
    # grab the time of the measure 1
    sens1[0,n_act_meas] = n_act_meas
    # read sensor 2
    sens1[1,n_act_meas]= n_act_meas
    # grab the time of the measure 2
    sens1[2,n_act_meas] = n_act_meas
    # read sensor 3
    sens1[3,n_act_meas] = n_act_meas
    # grab the time of the measure 3
    sens1[4,n_act_meas] = n_act_meas
    sens1[5,n_act_meas] = n_act_meas      
          
    n_act_meas += 1

    # bytes --> lists of integers
        
        
        # remove exceeding zeros
sens1 = sens1[:,:n_act_meas]  
        
        
print("measured samples: ", n_act_meas)
print("expected samples: ", n_exp_meas)
print("actual sampling rate: ", n_act_meas / acquisition_time)
        

result = sens1.tobytes()
file = open('mes_all.csv','wb')
file.write(result)

file.close()

print(np.frombuffer(result))

And I get once over two this error : ValueError: tobytes can be invoked for dense arrays only

I can't understand the meanings, and why it's works not at all the time ...

[FEATURE REQUEST] numpy.tolist() #466

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