I am running a simulation of capacity about different parking lots located according to GIS map tool in AnyLogic. I added a bar chart for Parking1.statsUtilization.max()and histogram for time measure end timeTotal.distribution. But when simulation is running I can not see the bar chart and histogram chart into the simulation. I am not so sure if the problem is because I am using GIS location tool
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In Kubeflow, how can I log the progress of the for loop to see if it is progressing?
Moreover, in the graph view, the graph renderer is having a hard time to draw 1000s of tasks. Can it be grouped?
I am using the prophet model to perform anomaly detection on the metrics of prometheus
However, I found that the yhat of the metrics output by anomaly detection is basically stable at around 0.6, and does not change with the original data.
The figure below is the predicted metrics versus the original metrics in grafana
predicted metrics versus original metrics
Green bar is : node_load1{instance='192.29.3.11:9100'} (origin metrics)
yellow Bar is : yhat.
Orange Bar is :yhat_upper
Sky blue bar is : yhat_lower
Red Bar is : anomaly
It can be seen that the value of yhat does not change with the original value, but is stable at around 0.6
The original training data is like this:
original training data
model.plot_components(forecast)
prophet components
model.plot(forecast)
prophet forecast
How should I adjust the prophet parameters, or is there any other way to make Prophet predict the value accurately？
please help me
I am working on a project which make use of Python-2.7, pygtk and matplotlib-2 on windows.
My app records data from COM port and plot it like a live plot. I need to put major and minor ticks for grid purpose.
My X-axis data is time duration in seconds.
ax1.set_xticks(np.arange(x_range[0],x_range[1],0.45))
ax1.set_xticks(np.arange(x_range[0],x_range[1],0.09),minor=True)
major ticks # 0.45 sec.
minor ticks # 0.09 sec
x_range[0] is minimum value of x axis data
x_range1 is maximum value of x axis data
Setting ticks this way is taking more time and also it takes lot of time when I plot entire data.
Is there any faster way to set ticks using matplotlib?
Note: I have totally 7 different data sets to be plotted on different subplots.
Sample plot image is given blow.
In following image, you can see grid properly. This plot window is also with a scroll bar at bottom. Total plot size depends on total time of data recording.
I'm quite confused and might need help just formulating the question, so please give good comments...
I'm trying to crossfilter some data where each data point has its own sub-dataset that I want to chart and filter on as well. Each point represents a geographic region, and associated with each point is a time series which measures a certain metric over time.
Here's what I've got so far: http://michaeldougherty.info/dcjs/
The top bar chart shows a particular value for 10 regions, and the choropleth is linked with the same data. Now, below that are two composite line charts. Each line corresponds to a region -- there are 10 lines in each graph, and each graph is measuring a different metric over time. I would like the lines to be filtered as well, so if one bar is selected, only one line will show on the line chart.
Moreover, I want to be able to filter by time on the line charts (through brushing) in addition to some other filter, so I can make queries like "filter out all regions whose line value between 9 AM and 5 PM is less than 20,000", which would also update the bar and choropleth charts.
This is where I'm lost. I'm considering scrapping DC.js for this and using crossfilter and d3.js directly because it seems so complicated, but I would love it if I'm missing something and DC.js can actually handle this. I'd also love some ideas on where to start implementing this in straight crossfilter, because I haven't fully wrapped my head around that yet either.
How does one deal with datasets within datasets?
Screenshot of the link above included for convenience:
I have defined a chart on a form, as you are entering the data the chart gets smaller.
Is there any way to make it pass the data as an infinite tape, doing that all entries completed within the limits of chart?
y as any series of numbers, in this case is electric current
x are time in seconds
I need the x pass continuously, not acumulative from the y and x = 0
Get the Visual Studio 2010 "WinFormsChartSamples" at Microsoft's web page Samples Environment for .NET Framework 4 Chart Controls Released!
In the example charts, there are live signal-type and time-series charts which show the real-time signal move to the left as the data are fed to the chart. Also, several speed options are available.