kuiper | Kuiper test and other tools from circular statistics | Analytics library
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Kuiper test and other tools from circular statistics
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Top functions reviewed by kandi - BETA
- Compute an exponential - Shannon probability distribution
- Fix error correction
- Compute the Allan Pearson correlation coefficient
- Anderson - Darling statistic
- Calculate the Allan Pearson correlation coefficient
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QUESTION
I'm confused about how I can implement conversion of different data types in my code below. Conversion includes (int to string, string to int, float to int, etc.) My teacher said this can be easily done when I am reading/writing files, but I'm still confused. I would appreciate any help or suggestions, thank you! Here's my code:
...ANSWER
Answered 2020-Oct-31 at 10:31The most straightforward way to read and write files is to use their synchronous counterparts: readFileSync()
and writeFileSync()
. In order to work with JSON neatly, you can define your functions as:
QUESTION
I have three loops of values which confuse me how to show the correct output.
First I have a sentence for instance this:
Back in 1951 , the astronomer , Gerard P . Kuiper , was pondering the crowns , especially those that loop around the Sun in less than 200 years . These comets include Halley's Comet - last seen from earth in 1985/86 - and Shoemaker-Levy which crashed into Jupiter in 1994 . He worked out that comets like these would have to come from a belt fairly close to the planets of the solar system . He noticed that these comments also tend to come hurting in from outer space quite close to the plane of the planets , rather than from just any old direction . Kuiper predicted that there should be a flattened belt or frisk of comets and asteroids , beginning just outside the orbit of Neptune 30 AU and reaching out to about 1,000 AU or astronomical units . But finding a comet past Neptune , is like trying to see a 100-watt light bulb at 20 times the distance of the Moon . Well , back in 1992 , our television technology finally got good enough .
Now I marked some of the keywords in my database table as following :
...ANSWER
Answered 2019-Oct-12 at 05:24So here is a function that you can use to find the array of duplicate word and keys, and use that to show duplicates in your loop, if the key matches in any of the sub array it's a duplicate.
QUESTION
I have the following problem: I need to run each subset of a dataframe creating new entries for the variable role depending on 2 conditions: the matching between the names of witnesses and household dwellers.
The dataframe (df) is as follows: I have 10 variables (ID, birth_year, last name –Name2nd-, role in the household -role-, household -hh-, first name –Name1st-, first name of witness1 - name1stW1-, last name of witness1 – name2ndW1-, relation with ID and relation with ID’s spouse –relation2-).
The whole table is subsetted by the hh variable, gathering all the IDs under the same household. The last four variables show the name of the first witness in the marriage of the ID, as well as their relation to that ID -relation- and to their spouse –relation2-. For instance, in my example bellow, ID 1 is Albert Snijders whose wedding witness is Kornelis Marteen. Kornelis Marteen is his brother (relation) and brother in law of the spouse (relation2).
Now here, as Kornelis Marteen is also living in the same household as ID 1 and we know the relation between ID 1 and 2, I need to change the value of the variable role from NA to “brother-brother in law” (in other words, for the value of the combination of the two relations: relation-relation2).
...ANSWER
Answered 2019-Jun-05 at 16:23Here is a solution, using package dplyr
rather than plyr
. The trick is to join the table with a copy of itself, mapping the person name to the witness name. To make it more clear I created df_witness
, which is a copy (subsetted) of A
with renamed fields
QUESTION
I have the following problem: I need to run each subset of a dataframe -based on the value of a variable- creating a new entries for another variable depending on 2 conditions.
The dataframe (dt3) is as follows: I have 4 variables (birth_year, last name –Name-, role in the household -role- and household -hh-). The whole set is divided or subsetted by the hh variable, which gathers all the individuals under the same household. For instances, in my example bellow, the first 4 rows belong to the household “1”. Also, under the variable role, only the head of the household is stated. The rest of roles are empty and must be derived, and this is what I’m trying to do. My first step is to assign the roles of "children". I was thinking of doing it by running a loop over the whole data set and over each subset (each hh value). Whenever each line has a person who has the same last name as the head of the household and whose birth year is at least 15 years later than the head’s, then this person is inferred as “children”.
The original dataframe is:
...ANSWER
Answered 2019-May-27 at 16:00You can first extract all "HeadOfHousehold", and merge them to your dt3
and then make the comparisons of name and birth year.
QUESTION
I stumbled across some old code (>10 years) and one of the lines reads:
...ANSWER
Answered 2018-Nov-23 at 15:55That argument allowed the older version to provide bin creation functionality equal to that of newer versions (>= 1.3). I found the following note in code at this link
Either an integer number of bins or a sequence giving the bins. If bins is an integer, bins + 1 bin edges will be returned, consistent with :func:
numpy.histogram
for numpy version >= 1.3, and with the new = True argument in earlier versions.
And this from the docs linked in the comment:
new : {None, True, False}, optional
Whether to use the new semantics for histogram:
- None : the new behaviour is used, no warning is printed.
- True : the new behaviour is used and a warning is raised about the future removal of the new keyword.
- False : the old behaviour is used and a DeprecationWarning is raised.
As of NumPy 1.3, this keyword should not be used explicitly since it will disappear in NumPy 1.4.
QUESTION
I'm creating a bulleted list of sorted titles, using XSLT transformation from XML to HTML.
Right now I am printing out each of the titles in an unsorted manner:
...ANSWER
Answered 2018-Mar-07 at 13:39You don't need to have nested xsl:for-each
here, just use the one....
QUESTION
I need to use for each
with 4 arrays for a school project but I couldn't find a solution somewhere. Is there a way to use for each
loop using 4 arrays
.
I tried multiple things but nothing worked for me.
ANSWER
Answered 2018-Mar-05 at 10:09You can loop through each of them one by one:
QUESTION
I have to do some vbscript that handles a json formatted output from a webserver. I am using an old vbscript code snippet I have found called "aspJSON" - I think it is from www.aspjson.com but that site is no longer available.
I have this JSON file:
...ANSWER
Answered 2017-Jan-13 at 11:22Unlike VAT
and buyInfo
, prices
is a Collection which can contain multiple instances (notice the difference in the JSON structure, prices
is encapsulated by square brackets). Whenever you deal with Collections a loop is required to iterate through the instances to get at their underlying properties.
I'd recommend a For Each
loop, like below. #
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You can use kuiper like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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