Interpolate | Swift interpolation for gesture-driven animations | Animation library
kandi X-RAY | Interpolate Summary
kandi X-RAY | Interpolate Summary
Interpolate is a powerful Swift interpolation framework for creating interactive gesture-driven animations.
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Interpolate Key Features
Interpolate Examples and Code Snippets
def neville_interpolate(x_points: list, y_points: list, x0: int) -> list:
"""
Interpolate and evaluate a polynomial using Neville's method.
Arguments:
x_points, y_points: Iterables of x and corresponding y points throu
def interpolate(message, graph):
"""Interpolates an error message.
The error message can contain tags of form `{{node_type node_name}}`
which will be parsed to identify the tf.Graph and op. If the op contains
traceback, the traceback will be
function _interopRequireWildcard(obj) {
if (obj && obj.__esModule) {
return obj;
} else {
var newObj = {};
if (obj != null) {
for (var key in obj) {
if (Object.prototype.hasOwnProperty.call(obj, ke
Community Discussions
Trending Discussions on Interpolate
QUESTION
I have a list of 9 colors like this:
...ANSWER
Answered 2021-Jun-15 at 12:02Your "expected" behavior isn't possible: if you have 9 colors, and you take 18 equally spaced interpolated values, only the first and the last value will come from your initial set. To have your initial set as part of the list, you need a multiple minus one.
The input to LinearSegmentedColormap.from_list()
can't be rgb values in the range 0-255: they need to be float values in the range 0-1. Also, the N=
parameter will be the number of internally stored values. If you set N
equal to the original number of colors, no interpolated colors will be calculated. For most flexibility you can set N to 256.
Afterwards, you can multiply the values again by 255 to get rgb values in the range 0-255.
QUESTION
I'd like to allow a user to define a template which is interpolated from an object. For example, I have the object:
...ANSWER
Answered 2021-May-23 at 00:42As long as it's just insert field XY and no computation in there, it's fairly simple to build:
QUESTION
When running the first "almost MWE" code immediately below, which uses conditional panels and a "renderUI" function in the server section, it only runs correctly when I comment out the 3rd line from the bottom, observeEvent(vector.final(periods(),yield_input()),{yield_vector.R <<- unique(vector.final(periods(),yield_input()))})
. If I run the code with this line activated, it crashes and I get the error message Error in [: subscript out of bounds
which per my research means it is trying to access an array out of its boundary.
ANSWER
Answered 2021-Jun-14 at 22:51Replace the line you commented out with this
QUESTION
I have 2 double values which can go from let's say start value 62.243
to end value 79.495
. I have another 2 double values which can go from let's say start value 4.456
to end value 7.687
.
ANSWER
Answered 2021-Jun-14 at 17:06For a number value_between_start_1_and_end_1
,
QUESTION
I have a vector "x"
I can interpolate it on "n"
points, let's say 20
ANSWER
Answered 2021-Jun-12 at 22:23There are two ways to interpret your question. In your example, the vector x
should be y
since only provided one vector:
QUESTION
Is it possible to retrieve DEM elevation values for use in a Mapbox Style expression?
Case in point - I'm using a custom DEM for terrain in Mapbox GL-JS. I would like to set the exaggeration based on the elevation value (lower terrain, higher exaggeration) via an interpolate expression.
...ANSWER
Answered 2021-Jun-14 at 10:27I don't think there is any mechanism to retrieve the height of terrain within an expression, so no.
In any case, according to the documentation the terrain
type only has basic functionality
(ie, not data-driven expressions), so you can't do what you're trying to do for that reason, too.
QUESTION
This is how my data looks like:
...ANSWER
Answered 2021-Jun-13 at 21:46If I understand your question the right way, you could use dplyr
and tidyr
:
QUESTION
I have this dataframe (57 rows, 9 cols) called "newData" and I'm trying to replace the NA values with the interpolated approximations and plot the graph. I've tried using functions such as na.approx and interp1 but I haven't managed to do it. Any solutions on how I can tackle this?
years city SO2 NO2 O3 PM10 PM2.5 CO Benzen 2012 Tirane 6.30 23.83 55.79 35.44 19.24 0.43 3.95 2013 Tirane NA 27.30 51.03 32.56 16.45 NA NA 2014 Tirane 15.52 35.01 32.64 54.06 NA 0.85 2.76 ...ANSWER
Answered 2021-Jun-12 at 14:12You can use zoo::na.approx
-
QUESTION
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from PIL import Image
import matplotlib.pyplot as plt
class Model_Down(nn.Module):
"""
Convolutional (Downsampling) Blocks.
nd = Number of Filters
kd = Kernel size
"""
def __init__(self,in_channels, nd = 128, kd = 3, padding = 1, stride = 2):
super(Model_Down,self).__init__()
self.padder = nn.ReflectionPad2d(padding)
self.conv1 = nn.Conv2d(in_channels = in_channels, out_channels = nd, kernel_size = kd, stride = stride)
self.bn1 = nn.BatchNorm2d(nd)
self.conv2 = nn.Conv2d(in_channels = nd, out_channels = nd, kernel_size = kd, stride = 1)
self.bn2 = nn.BatchNorm2d(nd)
self.relu = nn.LeakyReLU()
def forward(self, x):
x = self.padder(x)
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.padder(x)
x = self.conv2(x)
x = self.bn2(x)
x = self.relu(x)
return x
...ANSWER
Answered 2021-Jun-11 at 17:50Here is a functional equivalent of the main Model forward(x)
method. It is much more verbose, but it is "unravelling" the flow of operations, making it more easily understandable.
I assumed that the length of the list-arguments are always 5
(i is in the [0, 4] range, inclusive) so I could unpack properly (and it follows the default set of parameters).
QUESTION
According to documentation it is easy to linearly interpolate between two colors(anyone who is interested will easily find a solution with docs or SO) , and even more it is possible to recursively interpolate to create a smooth transition even a hole class, like ThemeData
.
How this can be achieved (at least the idea)?
Purpose of this to create smooth light-dark theme interpolation.
...ANSWER
Answered 2021-Jun-11 at 01:30ThemeData class has a .lerp method. Always look there first:
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