interpolation

interpolating values from a dataframe based on a column value

由 时光怂恿深爱的人放手 提交于 2019-12-04 04:05:27
问题 Assuming I have a the following problem: import pandas as pd import numpy as np xp = [0.0, 0.5, 1.0] np.random.seed(100) df = pd.DataFrame(np.random.rand(10, 4), columns=['x0', 'y1', 'y2', 'y3']) df x0 y1 y2 y3 0 0.5434 0.2784 0.4245 0.8448 1 0.0047 0.1216 0.6707 0.8259 2 0.1367 0.5751 0.8913 0.2092 3 0.1853 0.1084 0.2197 0.9786 4 0.8117 0.1719 0.8162 0.2741 5 0.4317 0.9400 0.8176 0.3361 6 0.1754 0.3728 0.0057 0.2524 7 0.7957 0.0153 0.5988 0.6038 8 0.1051 0.3819 0.0365 0.8904 9 0.9809 0.0599

How to resize a bitmap image in C# without blending or filtering?

由 南笙酒味 提交于 2019-12-04 03:56:49
问题 I have a gray scale image that I would like to enlarge so that I can better see the individual pixels. I've tried setting Smoothing mode to none and some different Interpolation Modes (as suggested on other questions on here), but the images still appear to me as if they are still doing some sort of blending before being displayed on the screen. basically If I have a image that is (White, White, White, Black) I want when I enlarge it to say 6x6, it to look like (White, White, White, White,

Reduce the size of a large data set by sampling/interpolation to improve chart performance

由 只谈情不闲聊 提交于 2019-12-04 03:30:07
问题 I have a large set (>2000) of time series data that I'd like to display using d3 in the browser. D3 is working great for displaying a subset of the data (~100 points) to the user, but I also want a "context" view (like this) to show the entire data set and allow users to select as subregion to view in detail. However, performance is abysmal when trying to display that many points in d3. I feel like a good solution would be to select a sample of the data and then use some kind of interpolation

cuda 3D texture Interpolation

由 拜拜、爱过 提交于 2019-12-04 02:53:50
问题 I am trying to interpolate a 3D array with cuda using texture memory with the code below. I have plotted the input f[x][y][z] to a fixed z value, then I interpolate my array for x and y and plot i again and they look totally different. I also tried this in 1 dimension (with a different code) and there it works so i assume that there must be an error in my code. Can you help me finding it? #include <cuda_runtime.h> #include <cuda.h> #include <iostream> #include <fstream> typedef float myType;

3D Spline Interpolation Matlab

由 [亡魂溺海] 提交于 2019-12-04 02:19:56
问题 I have two 3D arrays: A=[ 12751 4616 15915 15864 4622 15667 12877 4683 21050 15816 4668 21253 11374 5006 18495 16995 5466 18493 11638 4880 20023 17078 4938 20006 11576 4886 17011 ]; and B=[ 12402 2138 15743 10285 3175 15851 10237 3084 21052 12130 2129 21299 8074 3802 18505 14515 1623 18497 8415 3713 19856 14462 1120 20061 8340 3711 17145 14483 1157 16990]; and I want to do spline or 3D interpolation between them using Interp3 in Matlab.How should I define V in VI = interp3(X,Y,Z,V,XI,YI,ZI) ?

R plotting a dataset with NA Values [duplicate]

由 半腔热情 提交于 2019-12-04 02:01:21
问题 This question already has answers here : How to connect dots where there are missing values? (4 answers) Closed 6 years ago . I'm trying to plot a dataset consisting of numbers and some NA entries in R. V1,V2,V3 2, 4, 3 NA, 5, 4 NA,NA,NA NA, 7, 3 6, 6, 9 Should return the same lines in the plot, as if I had entered: V1,V2,V3 2, 4, 3 3, 5, 4 4, 6, 3.5 5, 7, 3 6, 6, 9 What I need R to do is basically plotting the dataset as points, an then connect these points by straight lines, which - due to

How do I choose an image interpolation method? (Emgu/OpenCV)

由 非 Y 不嫁゛ 提交于 2019-12-04 00:02:24
The image resizing function provided by Emgu (a .net wrapper for OpenCV) can use any one of four interpolation methods : CV_INTER_NN (default) CV_INTER_LINEAR CV_INTER_CUBIC CV_INTER_AREA I roughly understand linear interpolation, but can only guess what cubic or area do. I suspect NN stands for nearest neighbour, but I could be wrong. The reason I'm resizing an image is to reduce the amount of pixels (they will be iterated over at some point) whilst keeping them representative. I mention this because it seems to me that interpolation is central to this purpose - getting the right type ought

Correct Way To Move UIButton Between Two Points?

由 陌路散爱 提交于 2019-12-03 21:37:58
Trying to make a small tapping game, where you have a grid of squares and need to tap them in different orders. Occasionally these squares will swap places with each other. I figure that I will need to put the locations of each square into an array. Then when it is time to move, go from the current location to a one selected at random from the array, and then deleting that location in the array so I don't get multiple buttons in the same place. Unfortunately I can't even get the UIButtons to move, let alone interpolate between two positions. Currently this will move a button: -(IBAction)button

MATLAB: Interpolating to find the x value of the intersection between a line and a curve

由 那年仲夏 提交于 2019-12-03 21:23:39
问题 Here is the graph I currently have : The Dotted Blue line represented the y value that corresponds to the x value I am looking for. I am trying to find the x values of the line's intersections with the blue curve(Upper).Since the interesections do not fall on a point that has already been defined, we need to interpolate a point that falls onto the Upper plot. Here is the information I have: LineValue - The y value of the intersection and the value of the dotted line( y = LineValue) Frequency

Extrapolate with LinearNDInterpolator

由 泄露秘密 提交于 2019-12-03 20:39:11
I've got a 3D dataset that I want to interpolate AND extrapolate linearly. The interpolation can be done easily with scipy.interpolate.LinearNDInterpolator . The module can only fill in a constant/nan for values outside the parameter range, but I don't see why it would not offer an option to turn on extrapolation. Looking at the code, I see that the module is written in cython. With no experience in cython, it is hard to play around with the code to implement extrapolation. I can write it in pure python code, but maybe someone else here has a better idea? My particular case involves a constant
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