DT | Delaunay Triangulator with Processing.js | Computer Vision library
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Delaunay Triangulator with Processing.js
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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
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
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
Trending Discussions on DT
QUESTION
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 17:16Here, 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
QUESTION
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 15:30:00i 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 15:55The 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)
QUESTION
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 16:34let 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)
QUESTION
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 12:54You have several issues here.
- The second
selectInput
depends on the first one, so you need to update it also to display the updated dataframe. - It would be best to create a
reactiveValues
object as the dataframe to be updated. - You need an
observeEvent
to update the secondselectInput
, 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
QUESTION
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 11:52The 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:
QUESTION
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 18:38We 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
QUESTION
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 04:05I 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 :
QUESTION
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 06:35I 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 :
QUESTION
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 05:29Here seems day is not first, but month, so remove dayfirst=True
:
QUESTION
I want to filter a df with respect to working days.The df is:
...ANSWER
Answered 2021-Jun-15 at 05:26If need exlude only Sundays use offsets.CustomBusinessDay
:
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