BerVarray - Linux
Overview
BerVarray is a versatile command-line application designed to manipulate and transform numerical arrays in a vast and efficient manner. It offers a comprehensive suite of mathematical operations, array-based calculations, and data analysis capabilities, making it indispensable for scientific computing, data processing, and other computationally intensive tasks.
Syntax
bervarray [options] <input> [<output>]
Arguments:
<input>
: Path to input file containing the numerical array.<output>
: Optional path to save the transformed array. If omitted, the result is printed to the standard output.
Options/Flags
- -a, –array-format: Specifies the input array format. Available options include:
csv
,tsv
,matrix
,json
,xml
. Default:csv
. - -o, –output-format: Sets the format for the output array. Same options as
--array-format
. Default:csv
. - -m, –math-operation: Performs a mathematical operation on the array. Supported operators:
+
,-
,*
,/
,%
,**
,sqrt
,log
,exp
,abs
,round
. - -d, –data-type: Converts the data type of the array. Supported types:
int
,float
,double
,string
. - -s, –sort-by: Sorts the array by a specified column or element. Syntax:
--sort-by <column_name> [ascending|descending]
. - -f, –filter: Filters the array based on a specified condition. Syntax:
--filter <column_name> <operator> <value>
. - -v, –version: Prints the version of BerVarray.
- -h, –help: Displays the help message.
Examples
Example 1: Summing an array
bervarray -m + input.csv output.csv
Example 2: Converting to integers and filtering array
bervarray -d int -s id ascending -f age >50 input.csv output.json
Example 3: Calculate mean of each column
bervarray input.csv -a matrix -f1 mean
Common Issues
Error: Invalid input format
Ensure that the input file matches the specified array format (--array-format
).
Error: Missing column name for sorting
Specify the column name to sort by using --sort-by <column_name>
.
Integration
BerVarray can be seamlessly integrated with other Linux commands and tools:
- Pipe its output to awk for advanced data manipulation.
- Use it as a data source for plotting tools like gnuplot or matplotlib.
- Combine with Python or R for more complex numerical computations.
Related Commands
- NumPy: Python library for numerical array manipulation.
- Octave: Open-source higher-level language for numerical operations.
- R: Statistical computing and graphics environment.