Questions tagged [interpolation]

Interpolation is a set of methods to construct intermediate points between known points.

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Asynchronous vs synchronous polling when collecting time-series data from various sensors?

I'm leading a project in my small company where we are performing data collection on some water heating equipment we supply. I will be using a Raspberry Pi with Python scripts to aggregate data from a ...
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Changing values with topographical data!

I am currently interpolating data from various measuring stations, after which this data is available as gridded data. In a further step I want to adjust the data according to a topographical data set,...
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Algorythm for the interpolation?

Hi I have now managed to plot various points on a map and interpolate with ordinary kriging. However, my data does not look anything like it should. Do I need to use an algorithm to fill in the ...
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what exactly is the "order"-parameter in pandas interpolation?

what exactly is the "order"-parameter in pandas interpolation? it is mentioned in the doc: ...
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how many rows does pandas' interpolate consider? [closed]

How does pandas' DataFrame.interpolate() work in relation to the amount of rows it considers: is it just the row before the NaNs and the row right after? Or is it the whole DataFrame (how does that ...
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what level of discrepancy do I target for a good interpolation?

I'm performing some interpolation comparison and, of course, "the quality" of the training sample is a key parameter to survey. In this case I can create the dataset. For this reason, I try ...
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How to impute the missing values in time series for long periods

I have electrical consumption data between 2016-2019. The data was recorded every 30 minutes for 4 years. There is no data between 13/03/2019 - 31/03/209. I started with ...
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Interpolation for data sets from different instruments?

I have spectral data which is poorly aligned. It was taken from two different devices, such that some spectral data is between, say, 1 kHz and 3 kHz with 0.1 kHz steps, and other data is between 1.1 ...
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how to convert an array of non regularly interleaved coordinates to a matrix of weights using interpolation to obtain uniform sampling

I have an array of coordinates each one with an associated timestamp. Something like: ...
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How often may algorithms improve on the quality of input data? Or i.e. extrapolate in information?

How often may algorithms improve on the quality of input data? Or i.e. extrapolate in information? I've sometimes thought that it might seem like it's possible to "add data points" by some ...
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Approach for spatial interpolation and filtering

I have several GeoTIFF images with one band (time-series of vegetation values) for one area however, taken from different orbits (positions), so I need to do either ...
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Find the best interpolation method for missing observations

I have a database which has measurements of objects every day every hour. However, some data is missing and I don't have measurements for all the hours. in order to get over this challenge I have ...
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Chossing between regression models

This is the first time I attempt to use machine learning with Keras. In contrast to others I need to use one of the disadvantage of such algorithms. I need a ...
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empty fields to be filled with previous values

In the above sample data, I have empty fields and now the task is to fill the fields with previous values. my columns are dates and the values are a number of items present for that particular article ...
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Is it possible retrive hourly data from daily weather data?

I'm a beginner, so sorry if my question could be basic. Reading on internet I've found example written in python that makes the reverse of my questions (covert from daily to monthly). My problem is ...
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What is and how to calculate quartic interpolation?

I was reading the gist on the reward function used in OpenAI Five, but I didn't understand the way they calculate health's reward. This is what they state: Hero health is scored according to a ...
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How to understand the return values of scipy.interpolate.splrep

Background Continuation of Spline interpolation - why cube with 2nd derivative as following Cubic Spline Interpolation in youtube. The example in the youtube is below. Implemented using scipy....
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Regression of discrete continuous averaged data

If I have data that is continuous and discrete that is the average of a timestep. For example average power usage over the past 1 hour that is continually sampled every hour. How could I turn such ...
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Ordering scrambled 1D data sets by continuity

This is a cute little clustering problem that was probably solved a million times over, but I couldn't find a good reference for it. I have 20 1D datasets with 400 entries each. In the picture they ...
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Sparse Data Interpolation

I have a price data set where on some days there are up to five data points and some days none at all. For example: ...
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Interpolation in nlp - definition of O term

Reading definition of interpolation below how are the O terms defined? Is this a value that is set manually? Example P( Sam | I am ) = count( Sam I am ) / count(I am) = 1 / 2 Interpolation using N-...
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Does it make sense to interpolate image just before a CNN?

I'm training a CNN with images which have lots of horizontal black lines (due to the nature of the sensor). I'm thinking in removing this artifacts by some kind of preprocessing (interpolation, median ...
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Neural net layer that preserves spatial information

I'm attempting to use a neural network as a kind of interpolator for a high-dimensional function. We're doing this to circumvent the need for a physical model that calculates this function exactly, ...
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How to mask or crop IDW results

My question is: how can I mask or crop the results, using R, of IDW interpolation to only the area containing the original set of data points? In the example below, 20 random points are used to ...
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Geometric weighting of temperature

I have a number of weather stations, and I know their positions. I would like to interpolate measurements from them for various other positions as a weighted average of these stations, but of course I ...
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