Issue
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', '|U12')}
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, 1.e-04, 'ABCD') (1, 1.e-05, 'ABCD') (2, 1.e-06, 'long string')
# (3, 1.e-07, 'ABCD')]
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-05 | ABCD
2 | 1e-08 | long string
3 | 1e-07 | ABCD
Are there any good third-party Python libraries to format nice looking ASCII tables?
Solution
I seem to be having good output with prettytable:
from prettytable import PrettyTable
x = PrettyTable(dat.dtype.names)
for row in dat:
x.add_row(row)
# Change some column alignments; default was 'c'
x.align['column_one'] = 'r'
x.align['col_two'] = 'r'
x.align['column_3'] = 'l'
And the output is not bad. There is even a border
switch, among a few other options:
>>> print(x)
+------------+---------+-------------+
| column_one | col_two | column_3 |
+------------+---------+-------------+
| 0 | 0.0001 | ABCD |
| 1 | 1e-05 | ABCD |
| 2 | 1e-06 | long string |
| 3 | 1e-07 | ABCD |
+------------+---------+-------------+
>>> print(x.get_string(border=False))
column_one col_two column_3
0 0.0001 ABCD
1 1e-05 ABCD
2 1e-06 long string
3 1e-07 ABCD
Answered By - Mike T
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