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Questions tagged [interpolation]

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

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I was reading following paper: Deconvolution and Checkerboard Artifacts. The text says that Both deconvolution and the different resize-convolution approaches are linear operations, and can be ...
juan19.99's user avatar
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1 answer
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I have a few years worth of temperature data that is often sampled every ~20 minutes, but there are also gaps, could be many days of gaps, although more commonly an hour or two. I thought to use ...
Tunneller's user avatar
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I am having some trouble approaching some data modelling of the following structured dataset I'm trying to analyse, and then creating a surface from it. So I have 3 variables: say x, y, and z (...
Entangled Being's user avatar
3 votes
1 answer
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I have 10 day temperature forecast data that is hourly initially and then every 3 hours. I would like to predict the hourly values for the full 10 days. Linear interpolation fails as sunrise and other ...
John's user avatar
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1 answer
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Take Figure 1 showing point interpolation, where point L0 is being interpolated using points L2 and L1 and the distances L11, L12, L21, and L22. Whilst the graph shows a linear interpolation example, ...
Emad Ezzeldin's user avatar
2 votes
1 answer
337 views

I have a dataset containing a very long time series of hourly traffic congestion in a certain city, during a period of ~22 years (number of data points: Roughly 24 X 365 X 22 = 192720). I want to use ...
Stars's user avatar
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Problem: I have population data for states and their constituent counties over several years. Each row is uniquely identified by a state/county and a year. There are four population columns: ...
myusername's user avatar
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'Interpolation' is a technique that is used to predict a null/empty value by studying its neighbouring points. Interpolation doesn't take into consideration the entire dataset when predicting the ...
Apoorva's user avatar
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I have climate datasets consisting of tables where each row has four elements: latitude, longitude, rainfall, and timestamp. This dataset covers the entirety of the planet. However this dataset is ...
requiemman's user avatar
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If I have an image that is being rotated using OpenCV in python, about its centre, How do I mathematically calculate the pixel values after each rotation? A python code for this operation would be ...
giantjenga's user avatar
1 vote
2 answers
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Let's say I have two geolocations at given times. How can I interpolate these two geolocation and find any location for a given time time3 in python? ...
Veer7's user avatar
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1 answer
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what exactly is the "order"-parameter in pandas interpolation? it is mentioned in the doc: ...
benjamin_z's user avatar
1 vote
1 answer
721 views

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 ...
benjamin_z's user avatar
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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 ...
Hamzah Al-Qadasi's user avatar

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