To eliminate NULL data points use a query like:
select datetime, barometer from archive where datetime > 1642172400 and 
datetime < 1642693629* and barometer is not null *order by dateTime;
 You could add the part in bold into the query in the python script.

Of course, if they are all null...

On Friday, 21 January 2022 at 12:14:44 pm UTC+10 [email protected] wrote:

> Download the latest script from 
> https://github.com/morrowwm/weewx_tonga_browse. Beside installing the 
> Python Modules Vince stated above, I needed to also install  
> python3-scipy. I do have data between 1642172400 and 1642693629; except 
> for a couple "null" in that time period.   So when I run the script, I get 
> the following error.
>
> raspberrypi:~/Desktop/Tonga $ python3 tonga_barometer.py
> distance to eruption 13293.9 km arrival at 1642261629 (2022-01-15 10:47:08)
> select datetime, barometer from archive where datetime > 1642172400 and 
> datetime < 1642693629 order by dateTime;
> Traceback (most recent call last):
>   File "tonga_barometer.py", line 47, in <module>
>     coeff = np.polyfit(xdata, ydata, 2)
>   File "/usr/lib/python3/dist-packages/numpy/lib/polynomial.py", line 590, 
> in polyfit
>     y = NX.asarray(y) + 0.0
> TypeError: unsupported operand type(s) for +: 'NoneType' and 'float'
>
> There should be a way to check for "null" data within the time period.
> On Thursday, January 20, 2022 at 8:12:55 PM UTC-5 Cameron D wrote:
>
>> yes, definitely looks like there is no data.
>> I have attached another version of mine, in which the trend line is 
>> disabled by default, but I suspect that would just delay the inevitable and 
>> it would crash trying to do the plot.
>>
>> I also fixed up a few plotting errors in my code to do with the mysteries 
>> (to me) of layer ordering.
>> I also had a background bar showing either side of expected arrival - in 
>> this version I have now changed that to start at the expected arrival and 
>> stop 1 hour later.
>>
>> On Friday, 21 January 2022 at 3:29:36 am UTC+10 [email protected] wrote:
>>
>>> Hello,
>>> Not being a programmer, I probably shouldn't have messed with this, but 
>>> being curious...
>>>
>>> I tried the code posted on github as well as the one by Cameron D. In 
>>> both cases I got the following error:
>>> ```
>>> root@n4mrv:/home/bg/weewx_tonga_browse-main# python3 ./tonga.py   [file 
>>> from Cameron D]
>>>
>>> distance to eruption 12056.6 km arrival at 1642258360 (2022-01-15 
>>> 09:52:39)
>>>       opposite pulse arrival at 1642308921 (2022-01-15 23:55:21)
>>>       second time around pulse arrival at 1642385471 (2022-01-16 
>>> 21:11:10)
>>> Traceback (most recent call last):
>>>   File "./tonga.py", line 178, in <module>
>>>     plot_burst( cursor, arrival_time, hour_span, "primary" )
>>>   File "./tonga.py", line 54, in plot_burst
>>>     coeff = np.polyfit(xdata, ydata, background_order )
>>>   File "<__array_function__ internals>", line 180, in polyfit
>>>   File "/usr/local/lib/python3.8/dist-packages/numpy/lib/polynomial.py", 
>>> line 638, in polyfit
>>>     raise TypeError("expected non-empty vector for x")
>>> TypeError: expected non-empty vector for x
>>> ```
>>> I added my lat/lon information but may have missed something else I need 
>>> to change. Python modules were installed as directed. Copy of weewx.sdb is 
>>> in the same directory as the program.
>>> Thanks.
>>> Bob
>>> On Wednesday, January 19, 2022 at 10:32:49 AM UTC-5 [email protected] 
>>> wrote:
>>>
>>>> On Wednesday, January 19, 2022 at 12:42:04 a.m. UTC-4 Cameron D wrote:
>>>>
>>>>>
>>>>>    - as you get closer to the equator, tidal changes dominate the 
>>>>>    baseline in that timescale - I tried higher order polynomials, but 
>>>>> they are 
>>>>>    next to useless.
>>>>>
>>>>> I also had little luck with higher order polynomials to remove the 
>>>> general trend.
>>>>
>>>> I've put the script here: 
>>>> https://github.com/morrowwm/weewx_tonga_browse
>>>>
>>>

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