describe.h | Simple BDD describe test thingy for C | Functional Testing library

The SPARQL Describe query does not do anything in Anzograph 2.2.0. I have also double checked the documentation at https://docs.cambridgesemantics.com/anzograph/v2.2/userdoc/describe.htm and the simple example fails to return triples.

To reproduce, let's insert some data.

How can I print the column statistics for an SQL table like number of unique values, max and min value, etc?

I am interested in statistics the command line tool csvstat or pandas' describe and min/max/mean methods print out.

Note: I do not want to load the data completely in memory, so that pandas can analyse them.

Is there any command line tool which reads the SQL data on the fly to create these statistics?

How to find inside Gemfire region, what column defined as key during data load ?

List and describe is not giving required info

Example i am.looking something smiler to oracke "ALL_CONSTRAINTS" where you can run following sql to find primary key

I have recently created an erroneous merge hyperlink in clear case. This was the result of a script that automerged several files. Given that a script created the erroneous merge, I am trying to search for other instances of erroneous merge arrows. Below are the constraints I want to put in my search:

1. All merge hyperlinks created by me.
2. On a specific date

This question talks about finding a merge hyperlink in one file. However, I am looking for a set of merge hyperlinks that I created.

I know that you can describe hyperlinks as shown below:

Describe a hyperlink.

...

I am looping through a list of clearcase files to see if the text "Merge <-" is not part of the output of ct describe.

I have tried running a while loop on this list of clearcase files then appending it to another file if it meets my desired condition. Below is the exact logic I used:

Context:

I am trying to understand how top attribute of describe() works in python (3.7.3) pandas (0.24.2).

Efforts hitherto:

1. I looked into documentation of pandas.DataFrame.describe. It states that:

   If multiple object values have the highest count, then the count and top results will be arbitrarily chosen from among those with the highest count.

   I am trying to understand which part of code exactly attributes to the "arbitrary" output.

2. I stepped into the code which is being called by describe in-turn. My traceback is as follows:

I have a pandas DataFrame and I would like to get the basic stats about it like the number of unique values, number of occurrence for each values. Something like df.describe.

My issue is that some columns have lists, and I get this error :

I convert tables from one format to another, from uncompressed to compressed (Snappy, Gzip etc).

I thought I could rely on describe [formatted|extended] tblname until I read this. DESCRIBE Statement

It states

The Compressed field is not a reliable indicator of whether the table contains compressed data. It typically always shows No, because the compression settings only apply during the session that loads data and are not stored persistently with the table metadata.

How do I find out if a table is compressed and what codec is used? I don't mind using Spark to get that info.

Scipy's (to date, version 0.19.1) Statistical Functions module (aka scipy.stats) contains the functions of scipy.stats.skew and scipy.stats.kurtosis to compute skewness and kurtosis of a data set (3rd and 4th statistical moments, respectively). Moreover, scipy.stats.describe calls these functions.

The definitions of skewness and kurtosis may vary; hence, no consensus on them in the literature. Then, which mathematical expressions are used in Scipy to define skewness and kurtosis in the two aforementioned functions with their default settings?