I would like to print NumPy tabular array data, so that it looks nice. R and database consoles seem to demonstrate good abilities to do this. However, NumPy's built-in printing of tabular arrays looks like garbage:
import numpy as np
dat_dtype = {
'names' : ('column_one', 'col_two', 'column_3'),
'formats' : ('i', 'd', '|S12')}
dat = np.zeros(4, dat_dtype)
dat['column_one'] = range(4)
dat['col_two'] = 10**(-np.arange(4, dtype='d') - 4)
dat['column_3'] = 'ABCD'
dat['column_3'][2] = 'long string'
print(dat)
# [(0, 0.0001, 'ABCD') (1, 1.0000000000000001e-005, 'ABCD')
# (2, 9.9999999999999995e-007, 'long string')
# (3, 9.9999999999999995e-008, 'ABCD')]
print(repr(dat))
# array([(0, 0.0001, 'ABCD'), (1, 1.0000000000000001e-005, 'ABCD'),
# (2, 9.9999999999999995e-007, 'long string'),
# (3, 9.9999999999999995e-008, 'ABCD')],
# dtype=[('column_one', '<i4'), ('col_two', '<f8'), ('column_3', '|S12')])
I would like something that looks more like what a database spits out, for example, postgres-style:
column_one | col_two | column_3
------------+---------+-------------
0 | 0.0001 | ABCD
1 | 1e-005 | long string
2 | 1e-008 | ABCD
3 | 1e-007 | ABCD
Are there any good third-party Python libraries to format nice looking ASCII tables?
I'm using Python 2.5, NumPy 1.3.0.
The
tabulate
package works nicely for Numpy arrays:(Above code is Python 3; for Python 2 add
from __future__ import print_function
at top of script)Output:
The package installs via
pip
:you can take advantage of array comprehension and use printf format strings:
https://en.wikipedia.org/wiki/Printf_format_string
And you can get even more customized if you go up to version 2.7
You might want to check out Pandas which has a lot of nice features for dealing with tabular data and seems to lay things out better when printing (It is designed be a python replacement for R):
http://pandas.pydata.org/
I seem to be having good output with prettytable:
And the output is not bad. There is even a
border
switch, among a few other options: