DataIO

C++: phynexis::utils::DataIO Python: phynexis.utils.DataIO Header: src/utils/serde/data_io.hpp

Utility class for importing and exporting tabular data (CSV, TSV, space-separated) with automatic delimiter detection.

Methods

import_data(filename, lines_to_skip=0)

Import numeric data from a file. Supports comma, tab, and space delimiters with auto-detection.

Parameters:

Parameter	Type	Default	Description
filename	str	—	Path to data file
lines_to_skip	int	0	Number of header lines to skip

Returns: list[list[float]] — 2D array of doubles

save_data(data, head, filename)

Save tabular data to a file with the given header string.

Parameters:

Parameter	Type	Description
data	list[list[int]] or list[list[float]]	2D data array
head	str	Header line (e.g. "x,y,z")
filename	str	Output file path

file_exist(filename)

Check if a file exists.

Parameters:

Parameter	Type	Description
filename	str	File path to check

Returns: bool

Example

import phynexis

# Save integer data
phynexis.utils.DataIO.save_data(
    [[1, 2, 3], [4, 5, 6]],
    "x,y,z",
    "/tmp/data_int.csv"
)

# Save float data
phynexis.utils.DataIO.save_data(
    [[1.5, 2.5, 3.5], [4.5, 5.5, 6.5]],
    "x,y,z",
    "/tmp/data_float.csv"
)

# Import data (auto-detects delimiter)
data = phynexis.utils.DataIO.import_data("/tmp/data_float.csv")
print("rows:", len(data))
print("first row:", data[0])
print("second row:", data[1])

# File existence check
print("exists:", phynexis.utils.DataIO.file_exist("/tmp/data_float.csv"))
print("missing:", phynexis.utils.DataIO.file_exist("/tmp/nonexistent.csv"))

Output:

rows: 2
first row: [1.5, 2.5, 3.5]
second row: [4.5, 5.5, 6.5]
exists: True
missing: False

Unexposed C++ API

• detect_delimiter() / parse_line() — internal helpers