Directory: clojask.extensions

Like many popular Python libraries, such as numpy and pandas, third-party users can extend the function of Clojask by introducing more codes above the basic source code. This attempt is interesting and encouraged. Here is an example of creating such extension functions.

ns: clojask.extensions.bind

Contains functions that can help to bind several dataset files together on both directions.

API Foundation

When defining a clojask.DataFrame using dataframe function, one can input a function instead of the path of the source file. This function should produce a sequence. If this sequence is lazy, the theoretical length of the sequence can be infinite. Otherwise, it must have a finite length that is smaller than the memory size.

(def x (dataframe #(["col1,col2" "1,2" "3,4"])))

Based on this API, we can define the cbind and rbind function for two csv files.

cbind-csv

Joins some csv files into a new dataframe by columns.

Argument	Type	Function	Remarks
path-a	String	The path of the first csv file	Can be absolute or relative path
path-b	String	The path of the second csv file	Can be absolute or relative path
[path-c's]	String	Target columns	Can be absolute or relative path; the number is not limited

Example

;; file a
;; date,item,price
;; 2010-01-20,1,18.3
;; 2010-01-20,2,38.3
;; 2010-01-23,1,18.9
;; 2010-01-23,2,48.9
;; 2010-01-26,1,19.1
;; 2010-01-26,2,59.1
;; file b
;; date,cust,Item,sold
;; 2010-01-19,101,2,11
;; 2010-01-22,102,1,7
;; 2010-01-24,102,2,9
;; 2010-01-25,101,2,9
;; 2010-01-26,101,1,10
(def x (cbind "path/to/a" "path/to/b"))
;; x
;; date1,item,price,date2,cust,Item,sold
;; 2010-01-20,1,18.3,2010-01-19,101,2,11
;; 2010-01-20,2,38.3,2010-01-22,102,1,7
;; 2010-01-23,1,18.9,2010-01-24,102,2,9
;; 2010-01-23,2,48.9,2010-01-25,101,2,9
;; 2010-01-26,1,19.1,2010-01-26,101,1,10

rbind-csv

Joins some csv files into a new dataframe by rows.

Argument	Type	Function	Remarks
path-a	String	The path of the first csv file	Can be absolute or relative path
path-b	String	The path of the second csv file	Can be absolute or relative path
[path-c's]	String	Target columns	Can be absolute or relative path; the number is not fixed

Example

;; file a
;; date,item,price
;; 2010-01-20,1,18.3
;; 2010-01-20,2,38.3
;; 2010-01-23,1,18.9
;; 2010-01-23,2,48.9
;; 2010-01-26,1,19.1
;; 2010-01-26,2,59.1
;; file b
;; date,cust,Item,sold
;; 2010-01-19,101,2,11
;; 2010-01-22,102,1,7
;; 2010-01-24,102,2,9
;; 2010-01-25,101,2,9
;; 2010-01-26,101,1,10
(def x (rbind "path/to/a" "path/to/b"))
(print-df x)
|             date |             item |            price |
|------------------+------------------+------------------|
| java.lang.String | java.lang.String | java.lang.String |
|       2010-01-20 |                1 |             18.3 |
|       2010-01-20 |                2 |             38.3 |
|       2010-01-23 |                1 |             18.9 |
|       2010-01-23 |                2 |             48.9 |
|       2010-01-26 |                1 |             19.1 |
|       2010-01-26 |                2 |             59.1 |
|       2010-01-19 |              101 |                2 |
|       2010-01-22 |              102 |                1 |
|       2010-01-24 |              102 |                2 |
|       2010-01-25 |              101 |                2 |

It is also possible and encouraged to create more binding functions for other file types.

ns: clojask.extensions.reshape

Contains functions that can reshape a clojask dataframe from wide to long or from long to wide.

API Foundation

When defining a clojask.DataFrame using dataframe function, you can specify the option :melt, which should be a function that will be applied to each resultant row vector in the end. The default is vector, which will not affect the results. However, if :melt is set to

(fn [x]
  (replicate 2 x))

, then each row will be output twice.

melt

Reshape the dataframe from wide to long.

Argument	Type	Function	Remarks
dataframe	clojask.DataFrame	Specify the dataframe
output-path	String	The path of the output	Can be absolute or relative path with respect to the project.clj file.
id	vector of strings	The fixed portion of the columns	These columns must have a perfect correlation.
measurement	vector of strings	The measurement columns	In the result, the measurement names will become one column and the values will become another.
[measure_name]	String	The name of the measurement in the result	By default "measure"
[value_name]	String	The name of the value in the result	By default "value"

Example

;; x
;; family_id,age_mother,dob_child1,dob_child2,dob_child3
;; 1,30,1998-11-26,2000-01-29,
;; 2,27,1996-06-22,,
;; 3,26,2002-07-11,2004-04-05,2007-09-02
;; 4,32,2004-10-10,2009-08-27,2012-07-21
;; 5,29,2000-12-05,2005-02-28,
(melt x "path/to/output" ["family_id" "age_mother"["dob_child1" "dob_child2" "dob_child3"])
;; y

dcast

Reshape the dataframe from long to wide.

Argument	Type	Function	Remarks
dataframe	clojask.DataFrame	Specify the dataframe
output-path	String	The path of the output	Can be absolute or relative path with respect to the project.clj file.
id	vector of strings	The fixed portion of the columns	These columns must have a perfect correlation.
measure-name	String	The name of the measurement	By default "measure"
value-name	String	The name of the value	By default "value"
values	vector of string/int/double/datetime	The value choices of the measurement column	The order matters as in the result file.
[vals-name]	vector of string	The name of the value columns	By default, same as values

Example

;; x
;; family_id,age_mother,measure,value
;; 1,30,dob_child1,1998-11-26
;; 1,30,dob_child2,2000-01-29
;; 1,30,dob_child3,
;; 2,27,dob_child1,1996-06-22
;; 2,27,dob_child2,
;; 2,27,dob_child3,
;; 3,26,dob_child1,2002-07-11
;; 3,26,dob_child2,2004-04-05
;; 3,26,dob_child3,2007-09-02
;; 4,32,dob_child1,2004-10-10
;; 4,32,dob_child2,2009-08-27
;; 4,32,dob_child3,2012-07-21
;; 5,29,dob_child1,2000-12-05
;; 5,29,dob_child2,2005-02-28
;; 5,29,dob_child3,
(dcast x "resources/test.csv" ["family_id" "age_mother"] "measure" "value" ["dob_child1" "dob_child2" "dob_child3"])