Jerry, two other questions:

1. What version of WeeWX did you use before moving to V4.3?
2. When did you do the upgrade?

On Fri, Jan 22, 2021 at 3:24 PM Tom Keffer <tkef...@gmail.com> wrote:

> I see the problem, but I'm not quite sure what caused it. I'll have to do
> some experimentation.
>
> In the meantime, you can fix things by rebuilding the daily summaries.
>
> *sudo wee_database --drop-daily*
> *sudo wee_database --rebuild-daily*
>
>
>
> On Fri, Jan 22, 2021 at 3:13 PM jerry...@gmail.com <jerry.ke...@gmail.com>
> wrote:
>
>> python 3.9.1 issues corrected.  No effect on yearwindvec.  Here's sql dump
>> └─[$] <> sqlite3 weewx.sdb
>> SQLite version 3.32.3 2020-06-18 14:16:19
>> Enter ".help" for usage hints.
>> sqlite> select dateTime, datetime(dateTime,'unixepoch','localtime'),
>> xsum, ysum, dirsumtime from archive_day_wind where dateTime>1606780800;
>> 1606809600|2020-12-01 00:00:00|-130203.553519314|151249.611011778|288
>> 1606896000|2020-12-02 00:00:00|-52187.9947583369|334558.809337536|288
>> 1606982400|2020-12-03 00:00:00|-153080.843814849|234123.104596637|288
>> 1607068800|2020-12-04 00:00:00|-99420.8960079433|191113.904386128|288
>> 1607155200|2020-12-05 00:00:00|-190256.166535543|-63997.1159412606|288
>> 1607241600|2020-12-06 00:00:00|-34666.8634217707|-2021.71578460231|288
>> 1607328000|2020-12-07 00:00:00|30124.3625862335|579428.027105184|288
>> 1607414400|2020-12-08 00:00:00|-190910.758642127|109709.290467476|288
>> 1607500800|2020-12-09 00:00:00|117876.621596901|360564.616051966|288
>> 1607587200|2020-12-10 00:00:00|-110801.296843873|-95429.4246456933|288
>> 1607673600|2020-12-11 00:00:00|-43729.9472371972|-309888.485094482|288
>> 1607760000|2020-12-12 00:00:00|220205.009420536|41034.5716043916|288
>> 1607846400|2020-12-13 00:00:00|-244171.679762325|-169645.365425769|288
>> 1607932800|2020-12-14 00:00:00|-102395.07323691|169918.397158235|288
>> 1608019200|2020-12-15 00:00:00|-22417.9273202652|19293.1247338471|288
>> 1608105600|2020-12-16 00:00:00|-139024.644156649|78612.9897242719|288
>> 1608192000|2020-12-17 00:00:00|-568165.92865951|130159.284577316|288
>> 1608278400|2020-12-18 00:00:00|-27478.8703463201|104361.205410177|288
>> 1608364800|2020-12-19 00:00:00|36037.438769948|378529.578694131|288
>> 1608451200|2020-12-20 00:00:00|60841.5285463173|560381.729354686|288
>> 1608537600|2020-12-21 00:00:00|-69829.7825072144|451146.231629289|288
>> 1608624000|2020-12-22 00:00:00|12361.5448934334|195530.536831909|288
>> 1608710400|2020-12-23 00:00:00|308287.862067983|318022.906362218|288
>> 1608796800|2020-12-24 00:00:00|38007.7631483106|282472.618348279|288
>> 1608883200|2020-12-25 00:00:00|-17230.6374395907|-595796.408608539|288
>> 1608969600|2020-12-26 00:00:00|-415239.498049725|-162860.386849611|288
>> 1609056000|2020-12-27 00:00:00|171270.104136666|240892.576970562|288
>> 1609142400|2020-12-28 00:00:00|151298.874931467|336150.260498979|288
>> 1609228800|2020-12-29 00:00:00|-44868.0593009285|72292.1745354697|288
>> 1609315200|2020-12-30 00:00:00|-61615.9919150173|-370520.144783963|288
>> 1609401600|2020-12-31 00:00:00|-124311.997370602|240223.949666045|288
>> 1609488000|2021-01-01 00:00:00|-122534.326989786|-205708.575737604|288
>> 1609574400|2021-01-02 00:00:00|21010.6867484957|-24099.0447729012|35271
>> 1609660800|2021-01-03 00:00:00|-2516.97333745751|-176446.187437961|86400
>> 1609747200|2021-01-04 00:00:00|-294785.350809428|-581263.937648814|86400
>> 1609833600|2021-01-05 00:00:00|7324.35652411998|286084.756333686|86400
>> 1609920000|2021-01-06 00:00:00|23910.1472753193|114969.099078222|86400
>> 1610006400|2021-01-07 00:00:00|50945.657891678|228090.123829009|86400
>> 1610092800|2021-01-08 00:00:00|-27376.7331763921|86157.7738906022|86400
>> 1610179200|2021-01-09 00:00:00|-85804.0547954349|85044.0362438775|86400
>> 1610265600|2021-01-10 00:00:00|154585.773517962|153764.917574933|86400
>> 1610352000|2021-01-11 00:00:00|-74745.9956412178|396962.09383053|86400
>> 1610438400|2021-01-12 00:00:00|-1989.71958901631|9871.02575870456|86400
>> 1610524800|2021-01-13 00:00:00|22038.68095019|57482.6778240007|86400
>> 1610611200|2021-01-14 00:00:00|-37247.3304058338|286868.83455787|86400
>> 1610697600|2021-01-15 00:00:00|-76218.5400205464|308094.466824569|86400
>> 1610784000|2021-01-16 00:00:00|-83608.8628539001|-22767.825453113|86400
>> 1610870400|2021-01-17 00:00:00|-143674.811557712|92316.4065950163|86400
>> 1610956800|2021-01-18 00:00:00|-44308.7846046671|662547.272893248|86400
>> 1611043200|2021-01-19 00:00:00|133987.682574905|850156.22335851|86400
>> 1611129600|2021-01-20 00:00:00|-74251.0826590378|135628.796484244|86400
>> 1611216000|2021-01-21 00:00:00|-280128.622855439|-265275.783959067|86400
>> 1611302400|2021-01-22 00:00:00|-307496.368251027|-229512.538746149|53700
>> sqlite>
>> from Seasons skin.conf
>> [ImageGenerator]
>>
>>     # This section lists all the images to be generated, what SQL types
>> are to
>>     # be included in them, along with many plotting options. There is a
>> default
>>     # for almost everything. Nevertheless, values for most options are
>> included
>>     # to make it easy to see and understand the options.
>>     #
>>     # Fonts can be anything accepted by the Python Imaging Library (PIL),
>> which
>>     # includes truetype (.ttf), or PIL's own font format (.pil). See
>>     # http://www.pythonware.com/library/pil/handbook/imagefont.htm for
>> more
>>     # details.  Note that "font size" is only used with truetype (.ttf)
>>     # fonts. For others, font size is determined by the bit-mapped size,
>>     # usually encoded in the file name (e.g., courB010.pil). A relative
>> path
>>     # for a font is relative to the SKIN_ROOT.  If a font cannot be found,
>>     # then a default font will be used.
>>     #
>>     # Colors can be specified any of three ways:
>>     #   1. Notation 0xBBGGRR;
>>     #   2. Notation #RRGGBB; or
>>     #   3. Using an English name, such as 'yellow', or 'blue'.
>>     # So, 0xff0000, #0000ff, or 'blue' would all specify a pure blue
>> color.
>>
>>     image_width = 500
>>     image_height = 180
>>     image_background_color = 0xffffff
>>
>>     chart_background_color = 0xffffff
>>     chart_gridline_color = 0xd0d0d0
>>
>>     # Setting to 2 or more might give a sharper image with fewer jagged
>> edges
>>     anti_alias = 1
>>
>>     top_label_font_path = font/OpenSans-Bold.ttf
>>     top_label_font_size = 14
>>
>>     unit_label_font_path = font/OpenSans-Bold.ttf
>>     unit_label_font_size = 12
>>     unit_label_font_color = 0x787878
>>
>>     bottom_label_font_path = font/OpenSans-Regular.ttf
>>     bottom_label_font_size = 12
>>     bottom_label_font_color = 0x787878
>>     bottom_label_offset = 3
>>
>>     axis_label_font_path = font/OpenSans-Regular.ttf
>>     axis_label_font_size = 10
>>     axis_label_font_color = 0x787878
>>
>>     # Options for the compass rose, used for progressive vector plots
>>     rose_label = N
>>     rose_label_font_path = font/OpenSans-Bold.ttf
>>     rose_label_font_size  = 10
>>     rose_label_font_color = 0x222222
>>
>>     # Default colors for the plot lines. These can be overridden for
>>     # individual lines using option 'color'.
>>     chart_line_colors = 0xb48242, 0x4242b4, 0x42b442, 0xb4b442, 0xb442b4
>>
>>     # Default fill colors for bar charts. These can be overridden for
>>     # individual bar plots using option 'fill_color'.
>>     chart_fill_colors = 0xc4b272, 0x7272c4, 0x72c472, 0xc4c472, 0xc472c4
>>
>>     # Type of line. Options are 'solid' or 'none'.
>>     line_type = 'solid'
>>
>>     # Size of marker in pixels
>>     marker_size = 8
>>
>>     # Type of marker. Options are 'cross', 'x', 'circle', 'box', or
>> 'none'.
>>     marker_type ='none'
>>
>>     # The following option merits an explanation. The y-axis scale used
>> for
>>     # plotting can be controlled using option 'yscale'. It is a 3-way
>> tuple,
>>     # with values (ylow, yhigh, min_interval). If set to "None", a
>> parameter is
>>     # set automatically, otherwise the value is used. However, in the
>> case of
>>     # min_interval, what is set is the *minimum* y-axis tick interval.
>>     yscale = None, None, None
>>
>>     # For progressive vector plots, you can choose to rotate the vectors.
>>     # Positive is clockwise.
>>     # For my area, westerlies overwhelmingly predominate, so by rotating
>>     # positive 90 degrees, the average vector will point straight up.
>>     vector_rotate = 90
>>
>>     # This defines what fraction of the difference between maximum and
>> minimum
>>     # horizontal chart bounds is considered a gap in the samples and
>> should not
>>     # be plotted.
>>     line_gap_fraction = 0.01
>>
>>     # This controls whether day/night bands will be shown. They only look
>> good
>>     # on plots wide enough to show individual days such as day and week
>> plots.
>>     show_daynight = true
>>     # These control the appearance of the bands if they are shown.
>>     # Here's a monochrome scheme:
>>     daynight_day_color   = 0xfffafd
>>     daynight_night_color = 0xe2dfdf
>>     daynight_edge_color  = 0xd8d8e0
>>     # Here's an alternative, using a blue/yellow tint:
>>     #daynight_day_color   = 0xf8ffff
>>     #daynight_night_color = 0xfff8f8
>>     #daynight_edge_color  = 0xf8f8ff
>>
>>     # What follows is a list of subsections, each specifying a time span,
>> such
>>     # as a day, week, month, or year. There's nothing special about them
>> or
>>     # their names: it's just a convenient way to group plots with a time
>> span
>>     # in common. You could add a time span [[biweek_images]] and add the
>>     # appropriate time length, aggregation strategy, etc., without
>> changing
>>     # any code.
>>     #
>>     # Within each time span, each sub-subsection is the name of a plot to
>> be
>>     # generated for that time span. The generated plot will be stored
>> using
>>     # that name, in whatever directory was specified by option 'HTML_ROOT'
>>     # in weewx.conf.
>>     #
>>     # With one final nesting (four brackets!) is the sql type of each
>> line to
>>     # be included within that plot.
>>     #
>>     # Unless overridden, leaf nodes inherit options from their parent
>>
>>     # Default plot parameters
>>     plot_type = line
>>     aggregate_type = none
>>     width = 1
>>     time_length = 86400 # 24 hours
>>
>>     [[day_images]]
>>         x_label_format = %H:%M
>>         bottom_label_format = %x %X
>>         time_length = 97200 # 27 hours
>>
>>         [[[daybarometer]]]
>>             [[[[barometer]]]]
>>
>>         [[[daytempdew]]]
>>             [[[[outTemp]]]]
>>             [[[[dewpoint]]]]
>>
>>         [[[daytempfeel]]]
>>             [[[[windchill]]]]
>>             [[[[heatindex]]]]
>>
>>         [[[daytempin]]]
>>             [[[[inTemp]]]]
>>
>>         [[[daytemp]]]
>>             yscale = None, None, 0.5
>>             [[[[extraTemp1]]]]
>>             [[[[extraTemp2]]]]
>>             [[[[extraTemp3]]]]
>>
>>         [[[dayhum]]]
>>             [[[[outHumidity]]]]
>>
>>         [[[dayrain]]]
>>             # Make sure the y-axis increment is at least 0.02 for the
>> rain plot
>>             yscale = None, None, 0.02
>>             plot_type = bar
>>             [[[[rain]]]]
>>                 aggregate_type = sum
>>                 aggregate_interval = 3600
>>                 label = Rain (hourly total)
>>
>>         [[[daywind]]]
>>             [[[[windSpeed]]]]
>>             [[[[windGust]]]]
>>
>>         [[[daywinddir]]]
>>             # Hardwire in the y-axis scale for wind direction
>>             yscale = 0.0, 360.0, 45.0
>>             line_type = None
>>             marker_type = box
>>             marker_size = 2
>>             [[[[windDir]]]]
>>
>>         [[[daywindvec]]]
>>             [[[[windvec]]]]
>>                 plot_type = vector
>>
>>         [[[dayradiation]]]
>>             [[[[radiation]]]]
>>
>>         [[[dayuv]]]
>> #            yscale = 0, 16, 1
>>             [[[[UV]]]]
>>
>>         [[[dayrx]]]
>>             yscale = 0.0, 100.0, 25.0
>>             [[[[rxCheckPercent]]]]
>>
>>         [[[dayvolt]]]
>>             [[[[consBatteryVoltage]]]]
>>             [[[[heatingVoltage]]]]
>>             [[[[supplyVoltage]]]]
>>             [[[[referenceVoltage]]]]
>>
>>     [[week_images]]
>>         x_label_format = %d
>>         bottom_label_format = %x %X
>>         time_length = 604800 # 7 days
>>         aggregate_type = avg
>>         aggregate_interval = 3600
>>
>>         [[[weekbarometer]]]
>>             [[[[barometer]]]]
>>
>>         [[[weektempdew]]]
>>             [[[[outTemp]]]]
>>             [[[[dewpoint]]]]
>>
>>         [[[weektempfeel]]]
>>             [[[[windchill]]]]
>>             [[[[heatindex]]]]
>>
>>         [[[weektempin]]]
>>             [[[[inTemp]]]]
>>
>>         [[[weektemp]]]
>>             yscale = None, None, 0.5
>>             [[[[extraTemp1]]]]
>>             [[[[extraTemp2]]]]
>>             [[[[extraTemp3]]]]
>>
>>         [[[weekhum]]]
>>             [[[[outHumidity]]]]
>>
>>         [[[weekrain]]]
>>             yscale = None, None, 0.02
>>             plot_type = bar
>>             [[[[rain]]]]
>>                 aggregate_type = sum
>>                 aggregate_interval = 86400
>>                 label = Rain (daily total)
>>
>>         [[[weekwind]]]
>>             [[[[windSpeed]]]]
>>             [[[[windGust]]]]
>>                 aggregate_type = max
>>
>>         [[[weekwinddir]]]
>>             yscale = 0.0, 360.0, 45.0
>>             line_type = None
>>             marker_type = box
>>             marker_size = 2
>>             [[[[windDir]]]]
>>
>>         [[[weekwindvec]]]
>>             [[[[windvec]]]]
>>                 plot_type = vector
>>
>>         [[[weekradiation]]]
>>             [[[[radiation]]]]
>>
>>         [[[weekuv]]]
>> #            yscale = 0, 16, 1
>>             [[[[UV]]]]
>>
>>         [[[weekrx]]]
>>             yscale = 0.0, 100.0, 25.0
>>             [[[[rxCheckPercent]]]]
>>
>>         [[[weekvolt]]]
>>             [[[[consBatteryVoltage]]]]
>>             [[[[heatingVoltage]]]]
>>             [[[[supplyVoltage]]]]
>>             [[[[referenceVoltage]]]]
>>
>>     [[month_images]]
>>         x_label_format = %d
>>         bottom_label_format = %x %X
>>         time_length = 2592000 # 30 days
>>         aggregate_type = avg
>>         aggregate_interval = 10800 # 3 hours
>>         show_daynight = false
>>
>>         [[[monthbarometer]]]
>>             [[[[barometer]]]]
>>
>>         [[[monthtempdew]]]
>>             [[[[outTemp]]]]
>>             [[[[dewpoint]]]]
>>
>>         [[[monthtempfeel]]]
>>             [[[[windchill]]]]
>>             [[[[heatindex]]]]
>>
>>         [[[monthtempin]]]
>>             [[[[inTemp]]]]
>>
>>         [[[monthtemp]]]
>>             yscale = None, None, 0.5
>>             [[[[extraTemp1]]]]
>>             [[[[extraTemp2]]]]
>>             [[[[extraTemp3]]]]
>>
>>         [[[monthhum]]]
>>             [[[[outHumidity]]]]
>>
>>         [[[monthrain]]]
>>             yscale = None, None, 0.02
>>             plot_type = bar
>>             [[[[rain]]]]
>>                 aggregate_type = sum
>>                 aggregate_interval = 86400
>>                 label = Rain (daily total)
>>
>>         [[[monthwind]]]
>>             [[[[windSpeed]]]]
>>             [[[[windGust]]]]
>>                 aggregate_type = max
>>
>>         [[[monthwinddir]]]
>>             yscale = 0.0, 360.0, 45.0
>>             line_type = None
>>             marker_type = box
>>             marker_size = 2
>>             [[[[windDir]]]]
>>
>>         [[[monthwindvec]]]
>>             [[[[windvec]]]]
>>                 plot_type = vector
>>
>>         [[[monthradiation]]]
>>             [[[[radiation]]]]
>>
>>         [[[monthuv]]]
>> #            yscale = 0, 16, 1
>>             [[[[UV]]]]
>>
>>         [[[monthrx]]]
>>             yscale = 0.0, 100.0, 25.0
>>             [[[[rxCheckPercent]]]]
>>
>>         [[[monthvolt]]]
>>             [[[[consBatteryVoltage]]]]
>>             [[[[heatingVoltage]]]]
>>             [[[[supplyVoltage]]]]
>>             [[[[referenceVoltage]]]]
>>
>>     [[year_images]]
>>         x_label_format = %m/%d
>>         bottom_label_format = %x %X
>>         time_length = 31536000 # 365 days
>>         aggregate_type = avg
>>         aggregate_interval = 86400
>>         show_daynight = false
>>
>>         [[[yearbarometer]]]
>>             [[[[barometer]]]]
>>
>>         [[[yeartempdew]]]
>>             [[[[outTemp]]]]
>>             [[[[dewpoint]]]]
>>
>>         [[[yeartempfeel]]]
>>             [[[[windchill]]]]
>>             [[[[heatindex]]]]
>>
>>         [[[yeartempin]]]
>>             [[[[inTemp]]]]
>>
>>         [[[yeartemp]]]
>>             yscale = None, None, 0.5
>>             [[[[extraTemp1]]]]
>>             [[[[extraTemp2]]]]
>>             [[[[extraTemp3]]]]
>>
>>         [[[yearhum]]]
>>             [[[[outHumidity]]]]
>>
>>         [[[yearrain]]]
>>             yscale = None, None, 0.02
>>             plot_type = bar
>>             [[[[rain]]]]
>>                 aggregate_type = sum
>>                 # aggregate_interval = 2629800 # the length of a nominal
>> month
>>                 aggregate_interval = 604800    # one week
>>                 label = Rain (weekly total)
>>
>>         [[[yearwind]]]
>>             [[[[windSpeed]]]]
>>             [[[[windGust]]]]
>>                 aggregate_type = max
>>
>>         [[[yearwinddir]]]
>>             yscale = 0.0, 360.0, 45.0
>>             line_type = None
>>             marker_type = box
>>             marker_size = 2
>>             [[[[windDir]]]]
>>
>>         [[[yearwindvec]]]
>>             [[[[windvec]]]]
>>                 plot_type = vector
>>
>>         [[[yearradiation]]]
>>             [[[[radiation]]]]
>>
>>         [[[yearuv]]]
>> #            yscale = 0, 16, 1
>>             [[[[UV]]]]
>>
>>         [[[yearrx]]]
>>             yscale = 0.0, 100.0, 25.0
>>             [[[[rxCheckPercent]]]]
>>
>>         [[[yearvolt]]]
>>             [[[[consBatteryVoltage]]]]
>>             [[[[heatingVoltage]]]]
>>             [[[[supplyVoltage]]]]
>>             [[[[referenceVoltage]]]]
>>
>>         # Plot of high/low temperatures
>>         [[[yearhilow]]]
>>             [[[[hi]]]]
>>                 data_type = outTemp
>>                 aggregate_type = max
>>                 label = High
>>             [[[[low]]]]
>>                 data_type = outTemp
>>                 aggregate_type = min
>>                 label = Low Temperature
>>
>>         # A progressive vector plot of daily gust vectors overlayed
>>         # with the daily wind average would look something like this:
>> #        [[[yeargustvec]]]
>> #            [[[[windvec]]]]
>> #                plot_type = vector
>> #                aggregate_type = avg
>> #            [[[[windgustvec]]]]
>> #                plot_type = vector
>> #                aggregate_type = max
>>
>>
>>
>> ###############################################################################
>>
>> [Generators]
>>         # The list of generators that are to be run:
>>         generator_list = weewx.cheetahgenerator.CheetahGenerator,
>> weewx.imagegenerator.ImageGenerator, weewx.reportengine.CopyGenerator
>>
>> On Thursday, January 21, 2021 at 2:36:48 PM UTC-8 jerry...@gmail.com
>> wrote:
>>
>>> I just realized the python 3.9.1 path was wrong for pip and configobj
>>> leading to mismatched versions.  I corrected and will let it run overnight
>>> and check the yearwindvec tomorrow.
>>>
>>> On Thursday, January 21, 2021 at 4:48:05 AM UTC-8 tke...@gmail.com
>>> wrote:
>>>
>>>> Hello, Jerry
>>>>
>>>> Two questions:
>>>>
>>>> 1. Can we see skin.conf for the plots? In particular, the section
>>>> [ImageGenerator] in skins/Seasons/skin.conf.
>>>> 2. Let's check the database. Assuming you are using sqlite, use the
>>>> tool sqlite3 to take a look. You may have to install first. I don't know
>>>> how to do that on macOS, but I presume homebrew can do it. Then
>>>>
>>>> cd /Users/Shared/weewx/archive
>>>> sqlite3 weewx.sdb
>>>> select dateTime, datetime(dateTime,'unixepoch','localtime'), xsum,
>>>> ysum, dirsumtime from archive_day_wind where dateTime>1606780800;
>>>>
>>>> This will give us the ingredients to the plot for dates after 1-Dec-2020
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> On Wed, Jan 20, 2021 at 5:14 PM jerry...@gmail.com <jerry...@gmail.com>
>>>> wrote:
>>>>
>>>>> I noticed that something recently has gone wrong with my year wind
>>>>> vector graphic.  The y axis is broken.  This seems to have happened around
>>>>> the transition to 4.3
>>>>> The monthwindvec graphic is ok
>>>>>
>>>>> [image: monthwindvec.png]
>>>>> but the yearwindvec y axis is scaled about 100 times too large
>>>>> [image: yearwindvec.png]
>>>>> Going back to V 4.2 on Dec 31, everything was normal
>>>>> [image: dec31yearwindvec.png]
>>>>> This is running on macOS 10.15.7 (Catalina) with Python 3.9.1
>>>>> Any ideas where to look for fixes?
>>>>>
>>>>> --
>>>>> You received this message because you are subscribed to the Google
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>>>>> https://groups.google.com/d/msgid/weewx-user/9aa6d4a4-8d32-4709-b1e5-b11e24a9048fn%40googlegroups.com
>>>>> <https://groups.google.com/d/msgid/weewx-user/9aa6d4a4-8d32-4709-b1e5-b11e24a9048fn%40googlegroups.com?utm_medium=email&utm_source=footer>
>>>>> .
>>>>>
>>>> --
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