interpolation

Pandas DataFrame: Complex linear interpolation

由 十年热恋 提交于 2019-12-09 06:38:24
I have a dataframe with 4 sections Section 1: Product details Section 2: 6 Potential product values based on a range of simulations Section 3: Upper and lower bound for the input parameter to the simulations Section 4: Randomly generated values for the input parameters Section 2 is generated by pricing the product at equal intervals between the upper and lower bound. I need to take the values in Section 4 and figure out the corresponding product value. Here is a possible setup for this dataframe: table2 = pd.DataFrame({ 'Product Type': ['A', 'B', 'C', 'D'], 'State_1_Value': [10, 11, 12, 13],

scipy: Interpolating trajectory

由 有些话、适合烂在心里 提交于 2019-12-09 05:50:59
问题 I have a trajectory formed by a sequence of (x,y) pairs. I would like to interpolate points on this trajectory using splines. How do I do this? Using scipy.interpolate.UnivariateSpline doesn't work because neither x nor y are monotonic. I could introduce a parametrization (e.g. length d along the trajectory), but then I have two dependent variables x(d) and y(d) . Example: import numpy as np import matplotlib.pyplot as plt import math error = 0.1 x0 = 1 y0 = 1 r0 = 0.5 alpha = np.linspace(0,

Interpolation search on strings

由 牧云@^-^@ 提交于 2019-12-09 04:51:48
问题 For those of you not familiar with interpolation search, it is method to search for a value in a sorted array that is potentially faster than binary search. You look at the first and last element and (assuming that the contents of the array are uniformly distributed) linearly interpolate to predict the location. For example: we have an array of length 100 with array[0]=0 and array[99]=99. If we are looking for 80, it is intuitive to try array[80] over array[50], and if the array is close to

How good is this interpolation method?

由 浪子不回头ぞ 提交于 2019-12-08 18:42:30
I came up with a custom interpolation method for my problem and I'd like to ask if there are any risks using it. I am not a math or programming expert, that's why I'd like a feedback :) Story: I was searching for a good curve-fit method for my data when I came up with an idea to interpolate the data. I am mixing paints together and making reflectance measurements with a spectrophotometer when the film is dry. I would like to calculate the required proportions of white and colored paints to reach a certain lightness, regardless of any hue shift (e.g. black+white paints gives a bluish grey) or

Setting an upper bound of 0 on a 3d loess smoothing with negative values in R

由 血红的双手。 提交于 2019-12-08 17:15:40
问题 I have a bit of a bizarre question, but hoping someone can help me. I am attempting to create a surface plot of the bottom of a lake and then add some points showing plant frequency for a visual of where aquatic plants are occurring throughout the lake. Right now I am working on creating the surface plot in both scatterplot3d and wireframe using the scatterplot3d and lattice packages, respectively, in R. In order to achieve the type of plot I am interested in I have converted the depths to

perl6 interpolate array in match for AND, OR, NOT functions

由 孤者浪人 提交于 2019-12-08 17:12:21
问题 I am trying to re-do my program for match-all, match-any, match-none of the items in an array. Some of the documentations on Perl6 don't explain the behavior of the current implementation (Rakudo 2018.04) and I have a few more questions. (1) Documentation on regex says that interpolating array into match regex means "longest match"; however, this code does not seem to do so: > my $a="123 ab 4567 cde"; 123 ab 4567 cde > my @b=<23 b cd 567>; [23 b cd 567] > say (||@b).WHAT (Slip) > say $a ~~ m/

How to do a second interpolation in python

由 余生长醉 提交于 2019-12-08 13:56:09
问题 I did my first interpolation with numpy.polyfit() and numpy.polyval() for 50 longitude values for a full satellite orbit. Now, I just want to look at a window of 0-4.5 degrees longitude and do a second interpolation so that I have 6,000 points for longitude in the window. I need to use the equation/curve from the first interpolation to create the second one because there is only one point in the window range. I'm not sure how to do the second interpolation. Inputs: lon = [-109.73105744378498,

implementation of interp1 function of MATLAB in J2ME

由 南笙酒味 提交于 2019-12-08 11:58:24
问题 i am looking to implement the interp1, 1-D data interpolation (table lookup), function available in MATLAB in J2ME or JAVA. here is the link http://www.mathworks.com/access/helpdesk/help/techdoc/ref/interp1.html Is there any library available in J2ME or JAVA which has already implemented the same function ? If not can anybody help me in implementing interp1 function in J2ME or JAVA ? 回答1: Example code taken from here (linear only): public static final double[] interpLinear(double[] x, double[

Predicting via Lowess in R (OR reconciling Loess & Lowess)

由 假装没事ソ 提交于 2019-12-08 04:11:18
问题 I'm trying to interpolate/locally extrapolate some salary data to fill out a data set. Here's the data set and a plot of the available data: experience salary 1: 1 21878.67 2: 2 23401.33 3: 3 23705.00 4: 4 24260.00 5: 5 25758.60 6: 6 26763.40 7: 7 27920.00 8: 8 28600.00 9: 9 28820.00 10: 10 32600.00 11: 12 30650.00 12: 14 32600.00 13: 15 32600.00 14: 16 37700.00 15: 17 33380.00 16: 20 36784.33 17: 23 35600.00 18: 25 33590.00 19: 30 32600.00 20: 31 33920.00 21: 35 32600.00 Given the clear

How good is this interpolation method?

由 扶醉桌前 提交于 2019-12-08 03:47:41
问题 I came up with a custom interpolation method for my problem and I'd like to ask if there are any risks using it. I am not a math or programming expert, that's why I'd like a feedback :) Story: I was searching for a good curve-fit method for my data when I came up with an idea to interpolate the data. I am mixing paints together and making reflectance measurements with a spectrophotometer when the film is dry. I would like to calculate the required proportions of white and colored paints to
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