Are plotnine Boxplots following standard conventions regarding Whiskers, IQR and Median? - plotnine

Is there any information available on what the geom_boxplot function of plotnine exactly is showing? I checked the source code but couldn't find a clear definition (such as for seaborn catplot).

In plotnine stats do the calculations, so you can find that information in the stat_boxplot documentation.

Related

What does PLT stand for?

I've been using Dialyzer (and Dialyxir) on a big Elixir code base, and when I run it, it spits out a bunch of diagnostic information. It references .plt files a lot. What does "PLT" stand for in the context of Erlang and Dialyzer?
In Dialyzer's context, PLT stands for Persistent Lookup Table (link to docs). It is the data structure that contains inferred and user-annotated (i.e. 'spec-ed') type signatures that Dialyzer is expected to treat as known and correct when analyzing new files.

Detection of key-point , ORB , opencv

I'm not sure that I understand correctly what is opensource. I searched here to find answers but I didn't found anyone that asked a similar question.
How can I see the source code of the "detect" function in the file "features.hpp".
I'm looking for the math calculations of the algorithm ORB.
Is it open for everyone how wants to see it?
Just to be more accurate and sure that I'm clear enough, you can find the function's declaration ("detect") is inside "objdetect.hpp"
Thanks
In C++ the function implementations are typically written in .cpp files. The .h or .hpp files are header files which contain only the function signature and type declarations.
A good starting point for the ORB detector is here.

how do I convert DAQ-derived mxd file format to csv?

Background:
I was given a pile of yokagawa "mxd" files without documentation or
description, and told "convert it".
I have looked for documentation and found none. The OEM doesn't seem to "do" reproducibility in the sense of a "code book". (link)
I have looked for online code for converters and found none.
National Instruments has a connector, but only if I use latest/greatest
LabVIEW (link). I don't have that version.
The only compatible suffix is from ArcGIS, but why would DAQ use a format like that.
Questions:
Is there a straightforward way to convert "mxd" to "csv"?
How do I find the relationship using the binary data? Eyeballing HEX seems slow/inefficient.
Is there any relationship between DAQ mxd and ArcGIS mxd?
Yokogawa supplies a progam called MX100 Standard Software: https://y-link.yokogawa.com/YL008/?Download_id=DL00002238&Language_id=EN, this program can read the *.mxd files and also export them to ascii or excel. See the well hidden manual: http://web-material3.yokogawa.com/IMMX180-01E_040.pdf, page 105 has chapter 3.7: converting data formats.

Parse batch of SequenceExample

There is function to parse SequenceExample --> tf.parse_single_sequence_example().
But it parses only single SequenceExample, which is not effective.
Is there any possibility to parse a batch of SequenceExamples?
tf.parse_example can parse many Examples.
Documentation for tf.parse_example contain a little info about SequenceExample:
Each FixedLenSequenceFeature df maps to a Tensor of the specified type (or tf.float32 if not specified) and shape (serialized.size(), None) + df.shape. All examples in serialized will be padded with default_value along the second dimension.
But it is not clear, how to do that. Have not found any examples in google.
Is it possible to parse many SequenceExamples using parse_example() or may be other function exists?
Edit:
Where can I ask question to tensorflow developers: does they plan to implement parse function for multiple SequenceExample -s?
Any help ll be appreciated.
If you have many small sequences where batching at this stage is important, I would recommend VarLenFeatures or FixedLenSequenceFeatures with regular Example protos (which, as you note, can be parsed in batches with parse_example). For examples of this, see the unit tests associated with example parsing (testSerializedContainingSparse parses Examples with FixedLenSequenceFeatures).
SequenceExamples are more geared toward cases where there is significant amounts of preprocessing work to be done for each SequenceExample (which can be done in parallel with queues). parse_example does does not support SequenceExamples.

Matrix language and macro variables

is there a way to use calculations made in matrix language (matrix-end matrix) as macro variables later in calculations?
Let say I calculate chi^2 and pvalue in matrix language and then I want to use them as my new macro variables for, let say, printing information about if the statistics is significant or not.
Of course I can use OMS to solve my problem but I want to find out if there is a possible way to get variables from matrix language to syntax later on.
You might want to look into Python programmability instead of macro. It is much more powerful and flexible. You can read about it in the books and articles section of the SPSS Community website (www.ibm.com/developerworks/spssdevcentral). The site also provides the materials for getting started with programmability.
MATRIX can write datasets, which Python can read and manipulate - and it can even generate macro values from them.
HTH,
Jon Peck

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