Install the package with pip:
pip install readpy
Load the functions into your script with:
from readpy import *
You will then have access to the functions
read_csv(f, col_names = True)
read_tsv(f, col_names = True)
read_delim(f, delim, col_names = True)
write_csv(x, path, col_names = True)
write_tsv(x, path, col_names = True)
write_delim(x, path, delim, col_names = True)
The syntax is designed to resemble that of the R package readr as closely as possible.
All of the functionality is not yet fully implemented, but the basics are there.
This returns a DplyFrame, which is a class written in the dplython package. This means that you
can use the >> to pipe data between dplython functions. (see dplython
for more information).
This is intended to be syntactically similar, but also functionally similar to the readr R package
where possible. For example, when the parameter col_names = False is passed, the header resembles
the readr default:
X1 X2 X3 X4 X5 X6 X7 X8 X9 X10
0 0.23 Ideal E SI2 61.5 55.0 326 3.95 3.98 2.43
1 0.21 Premium E SI1 59.8 61.0 326 3.89 3.84 2.31
2 0.23 Good E VS1 56.9 65.0 327 4.05 4.07 2.31
3 0.29 Premium I VS2 62.4 58.0 334 4.20 4.23 2.63
4 0.31 Good J SI2 63.3 58.0 335 4.34 4.35 2.75
This package is currently in development, please visit the github page if you'd like to contribute: https://github.com/durrantmm/readpy