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Results tagged with python
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user 22047
Python is a programming language commonly used for machine learning. Use this tag for any *on-topic* question that (a) involves `Python` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `Python`.
3
votes
How to shift my dataset to all positive values before applying BoxCox
Cube root, $x^{1/3}$,
neglog, meaning sign($x$) * log($1 + |x|$), and
asinh()
are examples of transformations that apply regardless of the sign of $x$ and indeed preserve it.
The big disadvantages of …
- 59.5k
5
votes
Accepted
Pearson correlation to a uniformly distributed dataset
This isn't a quirk of Python numerics; it's a generic problem. …
- 59.5k
4
votes
Accepted
Chart/visual for negative binomial regression
The heading "negative binomial regression" is a puzzle here as the distribution is defined only on the grades 0, ..., 6, so can't be negative binomial on that ground alone.
However, your calculatio …
- 59.5k
2
votes
Which model fit best for semi sinusoidal data?
The question seems confused. You ask about modelling, but your focus appears to be just replacing missing values. Replacing missing values does not absolutely require a model for the entire dataset.
…
- 59.5k
34
votes
Accepted
Use of circular predictors in linear regression
Wind direction (here measured in degrees, presumably as a compass direction clockwise from North) is a circular variable. The test is that the conventional beginning of the scale is the same as the en …
- 59.5k
14
votes
Accepted
Retrieving minimum width that contains specified fraction of all values
Headlines:
A keyword is shorth.
For an R implementation and links to a current project with publications, see Günther Sawitzki's page at http://www.statlab.uni-heidelberg.de/people/gs/
There is a …
- 59.5k
3
votes
Visualize a continuous variable against a binary variable
Variants on this question arise frequently: see for example Histogram or box plot, to compare two distributions of means?.
I want to add to the fine answers to date, first by emphasising some small te …
- 59.5k
24
votes
Why am I getting information entropy greater than 1?
The maximum value of entropy is $\log k$, where $k$ is the number of categories you are using. Its numeric value will naturally depend on the base of logarithms you are using.
Using base 2 logarithm …
- 59.5k
1
vote
How to clean data to produce a smooth histogram
The histogram arises, I guess, because what you are showing is the result of dividing integers that are mostly or at least often small, so some values are much more common than others. I don't think i …
- 59.5k
5
votes
Dealing with categorical variables - Looking for recommendations
The premise is incorrect and the elaborate riff on how to tackle this in Python code is thus misdirected. … General purpose encoders, in Python or any other software, naturally will know nothing whatsoever about this circular scale. …
- 59.5k
2
votes
find a general formula between two parameters using curve-fit
This is more by way of extra comments than a full answer, but I have a graph and summary statistics that can only be well shown in an answer.
There are more decimal places here than may make sense, …
- 59.5k
2
votes
How to Distinguish 22 Variables in a Stacked Bar Graph?
The questions to me include not only what to show but in what sense this could ever work.
I am no biologist and at most recognise some of the names here (but couldn't explain them to pass a Biology …
- 59.5k
1
vote
Normality test giving confusing results
Tha accepted answer from @Anthony makes the main point: your data have tickled a bug in the software you used.
This is a bundle of extra comments using the sample given in Edit II as a sandbox.
As …
- 59.5k
2
votes
How to name and treat such a distribution of extreme values / outliers?
Detail: I don't use Python (hope to learn some one wet week with nothing else to do) so don't suggest code. Something like this graph shouldn't be difficult in any decent software. …
- 59.5k
1
vote
Accepted
How to calculate percent similarity between two sets of compositional data
One measure is variously known; I think I first encountered it as dissimilarity index, but watch out as that name is certainly generic as well as specific. The recipe is for dissimilarity between $j$ …
- 59.5k