Meter | Library for interacting with MetricKit | iOS library
kandi X-RAY | Meter Summary
kandi X-RAY | Meter Summary
Meter is a companion library to MetricKit. It aims to provide the following capabilities:.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Meter
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Meter Examples and Code Snippets
Lines of Code : 5License : Permissive (MIT License)
Copyprivate Double calculateWindChillWattsPerMeterSquared(Double temp, Double windSpeed){
temp = fahrenheitToCelcius(temp);
windSpeed = mphToMps(windSpeed);
return (12.1452 + 11.6222 * Math.sqrt(windSpeed) - 1.16222 * windSpeed) * private Map getSamples(Meter meter) {
Map samples = new LinkedHashMap<>();
mergeMeasurements(samples, meter);
return samples;
} Community Discussions
Trending Discussions on Meter
QUESTION
Hello dear stackoverflow users. I have an accordion. When this accordion is open, I want to make the invisible eye icon next to it visible. But which accordion is clicked, only its eye icon will open. Please help me :)
My code :
...ANSWER
Answered 2021-Jun-15 at 14:49You can iterate througth forEach callback, and get the index from argument and make reference to the eye via the index, the function is this: https://developer.mozilla.org/es/docs/Web/API/NodeList/forEach
QUESTION
I have run a topology, and I used the Meter type in metric Reporting API v2. In the execute method I mark this metric. So it will mark an event whenever the execute method is called. But when I compare this value with the __execute-count, I see huge differences. Does anyone know why this happens?
These are the values from my log which are gathered at the same time:
9:v7 __execute-count {v0:v7=44500}
9:v7 tuple_inRate.count 664129
Update: When I use the mark method on the Meter metric, I will get different results in comparison with the Counter metric. But still, I do not understand why the values from the counter metric (tuple counter) are not the same as the __execute-count.
...ANSWER
Answered 2021-Jun-11 at 06:51As given in this answer, Storms Internal Metrics are just estimated by a percentage of the real data flow. Initially, it uses 5% of incoming tuples to make those estimations. This may lead to inaccuracies for extreme high or low throughputs.
EDIT: The documentation describes the following:
In general all of these tuple count metrics are randomly sub-sampled unless otherwise stated. This means that the counts you see both on the UI and from the built in metrics are not necessarily exact. In fact by default we sample only 5% of the events and estimate the total number of events from that. The sampling percentage is configurable per topology through the topology.stats.sample.rate config. Setting it to 1.0 will make the counts exact, but be aware that the more events we sample the slower your topology will run (as the metrics are counted in the same code path as tuples are processed). This is why we have a 5% sample rate as the default.
EDIT 2 In this post, there is more information about the estimation:
The way it works is that if you choose a sampling rate of 0.05, it will pick a random element of the next 20 events in which to increase the count by 20. So if you have 20 tasks for that bolt, your stats could be off by +-380.
By the way, execute_count is just an increasing number, while your tuple_inRate.count is a rate, isn`t it?
QUESTION
During a flight, say with a pixhawk, I want to save the current location of the drone in reference to its initial start location. Ideally that would be the x, y, and z positions in meters. I understand that you can save the lat, lon, or IMU/velocity readings using dronekit, then calculate the position. It would be awesome, however, to be able to just call a function that calculates the x, y, and z for you so there is no post-processing.
...ANSWER
Answered 2021-Jun-12 at 23:52The following was satisfactory for my purposes (I believe you would need a GPS but not positive):
QUESTION
Does anybody know why the following code doesn't find any Descendants named "PntList3D" in the XDocument? I've run similar code with xml files from different sources and it's worked just fine.
...ANSWER
Answered 2021-Jun-11 at 11:54You need to specify the namespace in your call for Descendants:
QUESTION
When I create a circle, the radius is in meters, but I want to get the radius of the circle in miles, is it possible to do that?
I don't want to convert meters to miles with formulas, I want the value of the circle to already be converted when I get the radius
...ANSWER
Answered 2021-Jun-10 at 23:42You can use the setUnitSystem() method.
QUESTION
I keep getting the following error: lib/main.dart:45:37: Error: A value of type 'Object?' can't be assigned to a variable of type 'String'.
- 'Object' is from 'dart:core'. _startMeasure = value;
Which makes complete sense but I have tried changing value into string but that doesnt fix the problem. I have tried "$value" and also _startMeasure = value as String. But, none of this works.
Code:
...ANSWER
Answered 2021-Jun-09 at 16:50Your dropdown button has no type so it thinks the value in the onChanged is Object? instead it should look like this:
QUESTION
I have a 3d point cloud. I used matplotlib to draw a scatterplot representing the point cloud viewed from above. The point cloud is stored as a list of coordinates in meters. The output of matplotlib.pyplot.scatter is a png image.
In addition to saving the image, I want to save the correspondence pixels <-> meters. How to do that?
Here the code I use to make my image with matplotlib. I use a dataframe to manipulate the point cloud.
...ANSWER
Answered 2021-Jun-10 at 09:43To find this distance i use this code:
QUESTION
I'm confused about the difference between the following parameters in HDBSCAN
- min_cluster_size
- min_samples
- cluster_selection_epsilon
Correct me if I'm wrong.
For min_samples, if it is set to 7, then clusters formed need to have 7 or more points.
For cluster_selection_epsilon if it is set to 0.5 meters, than any clusters that are more than 0.5 meters apart will not be merged into one. Meaning that each cluster will only include points that are 0.5 meters apart or less.
How is that different from min_cluster_size?
ANSWER
Answered 2021-Jun-10 at 04:14They technically do two different things.
min_samples = the minimum number of neighbours to a core point. The higher this is, the more points are going to be discarded as noise/outliers. This is from DBScan part of HDBScan.
min_cluster_size = the minimum size a final cluster can be. The higher this is, the bigger your clusters will be. This is from the H part of HDBScan.
Increasing min_samples will increase the size of the clusters, but it does so by discarding data as outliers using DBSCAN.
Increasing min_cluster_size while keeping min_samples small, by comparison, keeps those outliers but instead merges any smaller clusters with their most similar neighbour until all clusters are above min_cluster_size.
So:
- If you want many highly specific clusters, use a small
min_samplesand a smallmin_cluster_size. - If you want more generalized clusters but still want to keep most detail, use a small
min_samplesand a largemin_cluster_size - If you want very very general clusters and to discard a lot of noise in the clusters, use a large
min_samplesand a largemin_cluster_size.
(It's not possible to use min_samples larger than min_cluster_size, afaik)
QUESTION
i generate random positions above the horizon(az=0-360,alt=0-90)in az/alt and calculate them withradec_to() to RA and DEC. to check the result i retransform them.
so what i don't understand is, why i get around half of coordinates back under the horizon?
...ANSWER
Answered 2021-Jun-09 at 16:10You are providing floating point numbers to radec_of(), and PyEphem interprets floating point numbers as radians, not degrees. Only when numbers are supplied as strings does it interpret them as degrees. So you could try either:
QUESTION
I have a Pandas DF in which I want to convert column values to integer values. The information should be stored in meters but can be stored in kilometers as well, resulting in the following possible values:
...ANSWER
Answered 2021-Jun-09 at 16:00If you use a .apply on the column, you should be able to very easily convert these values while casing on their type. For example:
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