Incidentally, if you order your lines low/avg/high, you can use a bar
chart, which will be easier to read.
[[[yearhilowmonth]]]
time_length = 31536000 # 365 days
aggregate_interval = 2629800# month?
line_gap_fraction = None
plot_type = bar
[[[[low]]]]
data_type = outTemp
aggregate_type = min
label = min
[[[[avg]]]]
data_type = outTemp
aggregate_type = avg
label = average temperature
[[[[hi]]]]
data_type = outTemp
aggregate_type = max
label = month max
-tk
On Mon, Nov 30, 2020 at 3:24 AM Karen K <[email protected]> wrote:
> Ah, so there is a special hack included for that problem.
>
> Thank you for explaining.
>
> [email protected] schrieb am Montag, 30. November 2020 um 03:33:06 UTC+1:
>
>> An aggregate_interval of 365.25 / 12 * 24 * 3600 = 2629800 is a "magic
>> number" and recognized by WeeWX as a nominal month.
>>
>> The example you gave should get you what you want: monthly highs, lows,
>> and averages.
>>
>> On Sun, Nov 29, 2020 at 10:10 AM Karen K <[email protected]> wrote:
>>
>>> To create a diagramm I have to set a value for "aggregate_interval" in
>>> seconds. That works fine for days and weeks, as they are always the same
>>> length in seconds. In contrast, months have a variable length of 28, 30, or
>>> 31 days. Even 29 days are possible sometimes. So, is there a possibility to
>>> aggregate by calendar month?
>>>
>>> And then, it is not sure, that the aggregation interval starts at the
>>> beginning of a month.
>>> Is there any possibility to force that?
>>>
>>> Example:
>>> [[[yearhilowmonth]]]
>>> time_length = 31536000 # 365 days
>>> aggregate_interval = 2629800 # month?
>>> line_gap_fraction = None
>>> [[[[hi]]]]
>>> data_type = outTemp
>>> aggregate_type = max
>>> label = month max
>>> [[[[low]]]]
>>> data_type = outTemp
>>> aggregate_type = min
>>> label = min
>>> [[[[avg]]]]
>>> data_type = outTemp
>>> aggregate_type = avg
>>> label = average temperature
>>>
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