DT | Delaunay Triangulator with Processing.js | Computer Vision library

 by   pcottle JavaScript Version: Current License: No License

kandi X-RAY | DT Summary

kandi X-RAY | DT Summary

DT is a JavaScript library typically used in Artificial Intelligence, Computer Vision applications. DT has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Delaunay Triangulator with Processing.js
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            kandi-support Support

              DT has a low active ecosystem.
              It has 7 star(s) with 5 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              DT has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DT is current.

            kandi-Quality Quality

              DT has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              DT releases are not available. You will need to build from source code and install.

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            DT Key Features

            No Key Features are available at this moment for DT.

            DT Examples and Code Snippets

            Extract shapes and types from a variant - dt .
            pythondot img1Lines of Code : 14dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _parse_variant_shapes_and_types(t):
              """Extracts shape and dtype information from a variant tensor `t`."""
              shapes_and_types = _variant_handle_data(t)
              if shapes_and_types is None or not shapes_and_types:
                raise ValueError("Required handle   
            Return the largest integer in dt .
            pythondot img2Lines of Code : 12dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _largest_integer_by_dtype(dt):
              """Helper returning the largest integer exactly representable by dtype."""
              if not _is_known_dtype(dt):
                raise TypeError("Unrecognized dtype: {}".format(dt.name))
              if dt.is_floating:
                return int(2**(np.fin  
            Check if dt is signed by dt .
            pythondot img3Lines of Code : 11dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _is_known_signed_by_dtype(dt):
              """Helper returning True if dtype is known to be signed."""
              return {
                  dtypes.float16: True,
                  dtypes.float32: True,
                  dtypes.float64: True,
                  dtypes.int8: True,
                  dtypes.int16: True,
                  d  

            Community Discussions

            QUESTION

            R How to replace elements of a group only when all elements are zero
            Asked 2021-Jun-15 at 17:16

            I have the data.table dt to which I want to add a new column new_col only when all elements in the group are zero.

            ...

            ANSWER

            Answered 2021-Jun-15 at 17:16

            Here, we can use if/else as ifelse requires all arguments to be same length all(a == 0) is of length 1, along with the 'yes' but 'no' is not of length 1, which leads to recycling

            Source https://stackoverflow.com/questions/67990791

            QUESTION

            Deleting columns with specific conditions
            Asked 2021-Jun-15 at 16:53

            I have a dataframe output from the python script which gives following output

            Datetime High Low Time 546 2021-06-15 14:30:00 15891.049805 15868.049805 14:30:00 547 2021-06-15 14:45:00 15883.000000 15869.900391 14:45:00 548 2021-06-15 15:00:00 15881.500000 15866.500000 15:00:00 549 2021-06-15 15:15:00 15877.750000 15854.549805 15:15:00 550 2021-06-15 15:30:00 15869.250000 15869.250000 15:30:00

            i Want to remove all rows where time is equal to 15:30:00. tried different things but unable to do. Help please.

            ...

            ANSWER

            Answered 2021-Jun-15 at 15:55

            The way I did was the following,

            First we get the the time we want to remove from the dataset, that is 15:30:00 in this case.

            Since the Datetime column is in the datetime format, we cannot compare the time as strings. So we convert the given time in the datetime.time() format.

            rm_time = dt.time(15,30)

            With this, we can go about using the DataFrame.drop()

            df.drop(df[df.Datetime.dt.time == rm_time].index)

            Source https://stackoverflow.com/questions/67989337

            QUESTION

            Accessing objects inside an object for a list
            Asked 2021-Jun-15 at 16:34

            So I have this object which has other objects and array nested inside it. I want to create a function that lists all the elements in this object and its nested objects. I did create a function but when it lists the items in the objects, it shows [object object] on the section where there is a nested object or array

            This is the object that I have :

            ...

            ANSWER

            Answered 2021-Jun-15 at 16:34
            let weather = {
                base: "stations",
                clouds: {
                  all: 1
                },
                coord: {
                  lat: 43.65,
                  lon: -79.38
                },
                dt: 1507510380,
                id: 6167863,
                main: {
                  humidity: 77,
                  pressure: 1014,
                  temp: 17.99,
                  temp_max: 20,
                  temp_min: 16
                },
                name: 'Downtown Toronto',
                sys: {
                  type: 1,
                  id: 2117,
                  message: 0.0041,
                  country: 'CA',
                  sunrise: 1507548290,
                  sunset: 1507589027,
                  type: 1
                },
                visibility: 16093,
                weather: [
                  {
                    description: 'clear sky',
                    icon: '01n',
                    id: 800,
                    main: "Clear"
                  }
                ],
                wind: {
                  deg: 170,
                  speed: 1.5
                }
              
              }
            
            function listWeather(object) {
                let itemsList = ''
                let itemsSubList = ''
                for (let key in object) {
                  var item = object[key]
                  if( isObject(item) ){
                    for (let k in item) {
                    document.write('
          • ---' + k + ' : ' + item[k] + '
          • '); } }else{ if( Array.isArray(item) ){ document.write('
          • ----'+ key +':
          • '); for (let l in item[0]) { document.write('
          • ------' + l + ' : ' + item[0][l] + '
          • '); } }else{ document.write('
          • ' + key + ' : ' + object[key] + '
          • '); } } } // return itemsList } function isObject(objValue) { return objValue && typeof objValue === 'object' && objValue.constructor === Object; } listWeather(weather)

            Source https://stackoverflow.com/questions/67962426

            QUESTION

            Update drop-down list with new information in shiny
            Asked 2021-Jun-15 at 12:54

            I'm doing a project on Shiny where there are several drop-down menus. The options contained in the menus are stored in a data frame and when running the app you have the option to add more data to the data frame. The behavior I expected was that the options in the drop-down menu would automatically update with changes in the data frame, but this doesn't happen.

            Is this possible to be done in Shiny? If yes, how?

            Here's a code with an example of how I'm doing.

            ...

            ANSWER

            Answered 2021-Jun-15 at 12:54

            You have several issues here.

            1. The second selectInput depends on the first one, so you need to update it also to display the updated dataframe.
            2. It would be best to create a reactiveValues object as the dataframe to be updated.
            3. You need an observeEvent to update the second selectInput, whenever the first one is updated.

            Lastly, dataframe is updated only when the actionButton on the second tab is clicked - to avoid updating dataframe while typing long text.

            Try this

            Source https://stackoverflow.com/questions/67984907

            QUESTION

            Why does the animation plot provide a different plot than the static plot
            Asked 2021-Jun-15 at 11:52

            Good morning,

            I am creating an animation by connecting 6 nodes coordinates at 10 different time steps.

            I start with a test: I first create a static plot for a time equal to 2 (for example) and I get the exact static plot that I am expecting: all and only the consecutive nodes are connected.

            Then I create the animation. Unfortunately, the animated plot connects the nodes in the wrong way. You can see that the animation connects the consecutive nodes, but also the second and the second to last nodes.

            Any idea why? Thanks

            ...

            ANSWER

            Answered 2021-Jun-15 at 11:52

            The issue is that in your static plot, you have actually created a list of Line2D objects (try printing line1 and you will see its not a single instance).

            But, in the animation function, you just create a single Line2D instance to set the xdata and ydata for.

            We can change to creating a list of Line2D instances, then loop over them and set the appropriate x and y data for each segment like so:

            Source https://stackoverflow.com/questions/67985307

            QUESTION

            Function to replace values in data.table using a lookup table
            Asked 2021-Jun-15 at 11:33

            This a follow-up on this question: How to efficiently replace one set of values with another set of values in data.table using a lookup table?

            I want to make a function which takes arbitrary data.table dt, lookup table dtLookup and efficiently replaces (i.e. using data.table in-memory framework) all values in a column col according to lookup table.

            Here's the original code:

            ...

            ANSWER

            Answered 2021-May-19 at 18:38

            We don't need as.name. Object on the lhs of = is not evaluated correctly. Instead, we could use a named vector in on with setNames

            Source https://stackoverflow.com/questions/67608799

            QUESTION

            R Data Table Assign Subset of Rows and Columns with Zero
            Asked 2021-Jun-15 at 07:08

            I'm trying to explode a data table into a time series by populating future time steps with values of zero. The starting data table has the following structure. Values for V1 and V2 can be thought of as values for the first time step.

            ...

            ANSWER

            Answered 2021-Jun-15 at 04:05

            I got an error with that last step, but if you have a more recent version of data.table that behaves differently hten by all means just :

            Source https://stackoverflow.com/questions/67978737

            QUESTION

            Dangers of mixing [tidyverse] and [data.table] syntax in R?
            Asked 2021-Jun-15 at 06:35

            I'm getting some very weird behavior from mixing tidyverse and data.table syntax. For context, I often find myself using tidyverse syntax, and then adding a pipe back to data.table when I need speed vs. when I need code readability. I know Hadley's working on a new package that uses tidyverse syntax with data.table speed, but from what I see, it's still in it's nascent phases, so I haven't been using it.

            Anyone care to explain what's going on here? This is very scary for me, as I've probably done these thousands of times without thinking.

            ...

            ANSWER

            Answered 2021-Jun-15 at 06:35

            I came across the same problem on a few occasions, which led me to avoid mixing dplyr with data.table syntax, as I didn't take the time to find out the reason. So thanks for providing a MRE.

            Looks like dplyr::arrange is interfering with data.table auto-indexing :

            • index will be used when subsetting dataset with == or %in% on a single variable
            • by default if index for a variable is not present on filtering, it is automatically created and used
            • indexes are lost if you change the order of data
            • you can check if you are using index with options(datatable.verbose=TRUE)

            If we explicitely set auto-indexing :

            Source https://stackoverflow.com/questions/67940098

            QUESTION

            When I sort the date, some of the sorted data are randomly wrong using pandas. What might be the cause?
            Asked 2021-Jun-15 at 05:29

            I obtained the information from Twitter and would like to sort the dates. However, some of the dates are incorrectly sorted, switching from date to month and vice versa.Is there something wrong with the code or the original data? My original data looked fine, though. Can anyone help?

            Raw data

            my code

            ...

            ANSWER

            Answered 2021-Jun-15 at 05:29

            Here seems day is not first, but month, so remove dayfirst=True:

            Source https://stackoverflow.com/questions/67980421

            QUESTION

            Pandas Filter dataframe according to working days
            Asked 2021-Jun-15 at 05:26

            I want to filter a df with respect to working days.The df is:

            ...

            ANSWER

            Answered 2021-Jun-15 at 05:26

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

            Vulnerabilities

            No vulnerabilities reported

            Install DT

            You can download it from GitHub.

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            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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