Download Pivot Figures Fix
Cristal Hoggle
The problem is that the date shown on the pivot table is equal to the date if it were in another timezone. NB: the date in the records of the database is correct with the correct timezone, it is just the pivot table labels that are wrong.
My theory is that the pivot table does not take into account the timezone setting and is using a default timezone. Of course, my alternate theory is that i am an idiot and have forgotten to set something somewhere (myapp timezone settings are set correctly)
Equation = LastUpdated - 10
Because we set the date type to hours, the -10 subtracts the hours rather than days.
(N.B. depending on your data size it take approx 15 mins to replicate this to the actual record values. I wasn't aware of this initially which became extremely frustrating because during testing I was making changes which apparently didn't have an effect, so I made further changes every few minutes (before the data had a chance to update). So after a while I was seeing the results updating from a previous change thinking it was the most recent change before the results would change again and I didn't know why )
Unfortunately I still couldn't use the above equation because while the chart reports were now accurate, none of my pivots were accurate where they were using filters based on the original date field. Changing the pivot reports to filter by the derived field slowed the report/page generation to an unacceptable crawl.
Hopefully Knack can get this sorted sooner rather than later.
Did you get any support or resolution on this ?
I'm also in Syd and have exactly the same issue with line charts reporting grossly inaccurate figures, not only with the date/time records but also when using the date filter "...is before today"
I noticed that the figures updated later in the morning at 10am which then also displayed the prior day's figures (coincidentally we are GMT+10).
This suggests the filters also aren't evaluating the app's timezone setting (and likely not the daylight savings switch either) .
It seems like our "previous" day's results are evaluated when the knack servers pass midnight (GMT) rather than midnight +/- timezone setting.
10am is too late as our GMs and state managers look at the data first thing in the morning.
It just looks unprofessional that the standard reports aren't taking timezone settings into account when reporting date/time data.
Cheers,
Gavin
When I first jumped from agency recruiting to HR I took a 65% cut in pay to move into straight corporate HR. I actually lied about how much I was making because it was probably double what my new corporate boss was making. They never would have hired me knowing they were making me an offer so low from I was currently at. But, I truly wanted to make that pivot!
The problem is that you have used the translations on the hip to move the figure. Unless it is part of a group pose, where you need one figure positioned relative to another, keep the translations zeroed and use the figure node for scene placement. Aside from avoiding this issue, that also means you can use the same placement pose - applied to the figure node - for all figures regardless of the pose-pose applied.
The figure is set up correctly, the subplots are created, and temp1 is plotted, but when I try to plot temp2 (the pivot table) it creates a new figure on me instead of drawing onto the second subplot. This only seems to happen with the pivot_table. I'm able to plot temp1 twice onto both subplots, and even if I try to plot temp2 first it still creates a new figure.
Possibly the issue derives because you are pairing a pandas Series (temp1 from value_counts call) plot and a pandas DataFrame (temp2 form pivot_table call) plot. Since your pivot table results in a one-column dataframe, consider squeeze() to downcast dataframe into a 1-dimensional series. And then from there plot as usual:
I want to plot a pivot table in a plt figure. The data is in a Multiindex pivot DataFrame, but when I plot it, the two index columns are shown in one column see Figure 1. I want something like the table from Figure, with combined rows for the first index and separated in three segments.
Hi all,
I am trying to make an OLAP pivot table filter based on a cell value in Excel 2003. The cell value I want to filter by is essentially a month (but is more complex than that e.g. 2012 - January, 2010 - August).
From this I get that:
The pivot table name is "PTD Figures: by Staff" - this is determined by the source data
The field in the pivot table is labelled "[TS Periods].[Periods]" - this is determined by the source data
The values I'm trying to change are [2012] and [09] (i.e. the year and month number)
I've set up a form so the user inputs the year and month and this gives me my input variables to change the filter to but for the purposes of this post I'm just interested in getting it working for the month (I can then duplicate the code for the year).
The pivot shift test is a cornerstone in the clinical diagnosis of anterior cruciate ligament (ACL) deficiency. It can be difficult to perform in overweight patients or in those with long or bulky legs. We present an alternative method to perform the pivot shift test that recalls the judo technique of figure-of-four knee lock and eases the examination of the patient with anterior cruciate ligament deficiency. This modality of execution also makes the surgeon able to perform varus-valgus tests with small changes in hand positions. The surgeon, embracing with one arm the tibia of the affected limb, grasps with this hand the wrist of his free arm opposite to the affected limb. Then the surgeon hooks onto the posterior surface of the leg with his free hand. In this way, the surgeon can exert a moment on the limb of the patient, and can apply combined internal rotation, flexion, and valgus stress to perform the pivot shift test or simply varus or valgus force to perform the varus-valgus tests.
A well-maintained center pivot is designed to operate with a uniformity of water application (UWA) of over 90%. However, factors such as natural wear and tear of the sprinkler package and installation or replacement of nozzles with improper sizes can reduce UWA, ultimately reducing yield. The negative impact of low UWA is generally larger during dry growing seasons when total irrigation water requirement increases. This was a norm in 2022 and 2023 at several locations in Nebraska. As irrigation water requirement increases due to the low rainfall amounts, reduction due to low UWA will also increase.
During a conversation with a grower in southeast Columbus, Nebraska, concerns were expressed about one field under a center pivot. The grower mentioned that he had lower than expected yields (Figure 1) and he was wondering if the issue was related to low UWA. After analyzing his yield map, we were able to identify an area of the field with substantial yield reduction. These areas resembled rings sometimes one-fourth of a span length. Clearly, that pivot needed some maintenance.
In this article, we are highlighting the main findings of an extension project for which the objectives were (1) assess the UWA of three center pivots before and after replacing the nozzles, and (2) assess the potential negative impact associated with low UWA on crop yield. We would like to thank the Nebraska Soybean Board for the financial support of all costs related to this project. The new nozzle package replacements and supplies to assess UWA was only possible with checkoff dollars.
Following the replacement of nozzles, all pivots demonstrated improvements. UWA increased to 92%, 90%, and 74% for pivots 1, 2, and 3, respectively. While pivots 1 and 2 met the manufacturer's recommendation of at least 90% UWA, pivot 3 still fell short of the recommended values. Upon discussing this with the grower of pivot 3, it was revealed that the primary reason for the suboptimal UWA was the pumping capacity.
For optimal crop production, it's crucial that a center pivot distributes water uniformly across the field. Any deviations in yield from the overall field average are typically linked to natural variations in the field. However, if the pivot system is not ensuring UWA, it is likely that specific areas within the same field will experience significantly lower yields.
Our assumption was that any recorded yield values falling below the 65/230 bu/ac threshold were likely attributable to low UWA. This held true in 2022 when the pivot was equipped with the old nozzles. However, with the subsequent replacement of the nozzles in 2023, we anticipated finding yield averages either close to or exceeding the 65/230 bu/ac threshold.
Examining the 2023 yield map (Figure 6), the positive impact of yield stabilization is evident following the installation of the new nozzle package. Both the corn and soybean fields exhibited a notably reduced percentage of the area falling below the 65/230 bu/ac threshold. This not only narrowed the yield gap but also mitigated losses. In 2023, we attributed the potential total loss of $1,425 to special variability within the field, considering that the pivot maintained uniform water application across 92% of the entire field.
It's crucial to emphasize that the site experienced intensified drought conditions in 2023. Under these circumstances, adhering to the old nozzle package could have resulted in a scenario similar to or even worse than the challenges encountered in 2022. Upgrading and maintaining the pivot system, particularly in the face of varying environmental conditions, is essential to ensure optimal crop performance and minimize potential losses.
Despite witnessing a significant improvement in application uniformity with the installation of new nozzles on pivots 1 and 2, we identified inconsistencies between the selected irrigation rate at the panel and the actual irrigation rate measured by the cups. The measured irrigation depth deviated from the depth selected at the pivot panel.
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