meter | show active data and compare with the total data | Data Visualization library

 by   TingYinHelen JavaScript Version: Current License: No License

kandi X-RAY | meter Summary

kandi X-RAY | meter Summary

meter is a JavaScript library typically used in Analytics, Data Visualization applications. meter has no bugs, it has no vulnerabilities and it has low support. You can install using 'npm i data-meter' or download it from GitHub, npm.

show active data and compare with the total data.

            kandi-support Support

              meter has a low active ecosystem.
              It has 10 star(s) with 0 fork(s). There are 2 watchers for this library.
              It had no major release in the last 6 months.
              meter has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of meter is current.

            kandi-Quality Quality

              meter has no bugs reported.

            kandi-Security Security

              meter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              meter does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              meter releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.

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            meter Key Features

            No Key Features are available at this moment for meter.

            meter Examples and Code Snippets

            No Code Snippets are available at this moment for meter.

            Community Discussions


            how do i make eye icon visible when accordion open
            Asked 2021-Jun-15 at 19:19

            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 :



            Answered 2021-Jun-15 at 14:49

            You can iterate througth forEach callback, and get the index from argument and make reference to the eye via the index, the function is this:



            Differnces between __execute-count value and values gathered by the Metrics Reporting API v2
            Asked 2021-Jun-15 at 15:18

            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.



            Answered 2021-Jun-11 at 06:51

            As 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?



            Drone-kit function for getting x, y, and z position relative to a start point or take off location?
            Asked 2021-Jun-12 at 23:52

            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.



            Answered 2021-Jun-12 at 23:52

            The following was satisfactory for my purposes (I believe you would need a GPS but not positive):



            Looping through Descendants of an XDocument - C#
            Asked 2021-Jun-11 at 12:16

            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.



            Answered 2021-Jun-11 at 11:54

            You need to specify the namespace in your call for Descendants:



            HERE maps get circle radius in miles
            Asked 2021-Jun-10 at 23:42

            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



            Answered 2021-Jun-10 at 23:42

            You can use the setUnitSystem() method.

            Related Document



            Flutter Dropdown: A value of type 'Object?' can't be assigned to a variable of type 'String'. - 'Object' is from 'dart:core'
            Asked 2021-Jun-10 at 14:57

            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.




            Answered 2021-Jun-09 at 16:50

            Your dropdown button has no type so it thinks the value in the onChanged is Object? instead it should look like this:



            what distance represent two adjacents pixels
            Asked 2021-Jun-10 at 09:44

            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.



            Answered 2021-Jun-10 at 09:43

            To find this distance i use this code:



            HDBSCAN difference between parameters
            Asked 2021-Jun-10 at 04:14

            I'm confused about the difference between the following parameters in HDBSCAN

            1. min_cluster_size
            2. min_samples
            3. 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?



            Answered 2021-Jun-10 at 04:14

            They 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.


            1. If you want many highly specific clusters, use a small min_samples and a small min_cluster_size.
            2. If you want more generalized clusters but still want to keep most detail, use a small min_samples and a large min_cluster_size
            3. If you want very very general clusters and to discard a lot of noise in the clusters, use a large min_samples and a large min_cluster_size.

            (It's not possible to use min_samples larger than min_cluster_size, afaik)



            pyephem problem with alt/az to ra/dec and back
            Asked 2021-Jun-09 at 16:10

            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?



            Answered 2021-Jun-09 at 16:10

            You 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:



            Converting multiple types of values to integer values
            Asked 2021-Jun-09 at 16:00

            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:



            Answered 2021-Jun-09 at 16:00

            If you use a .apply on the column, you should be able to very easily convert these values while casing on their type. For example:


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


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            Install meter

            You can install using 'npm i data-meter' or download it from GitHub, npm.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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