Cfrgtkky

I have

x = np.array([1, 4, 5, ...100 more values])



y = np.array([1.23452324, 6.2341238, 11.1348219, ...100 more values])

I need to output it as a table:

1   1.235

4   6.234

5  11.135

I need to print arrays vertically, justified to the right side and values should be rounded to 3 decimals. Is there any elegant way?

PS. I've tried this:

for i in range(n):

    print(repr(x.item(i)).rjust((7)), repr(y.item(i)).rjust(7), end=' ')

    print(repr(z.item(i)).rjust(7))

but it is not working.

You can use pandas for this:

>>> import pandas

>>> import numpy

>>> x = numpy.array([1, 4, 5])

>>> y = numpy.array([1.23452324,6.2341238, 11.1348219])

>>> df = pandas.DataFrame({"x": x, "y": y})

>>> print(df)

   x          y

0  1   1.234523

1  4   6.234124

2  5  11.134822

Look up the Pandas documentation on how to format the numbers as you wish. In specific look for pandas.DataFrame.round:

>>> df.round(3)

   x       y

0  1   1.235

1  4   6.234

2  5  11.135

Make sure you installed Pandas on your machine:

Python2/Python3:

pip3 install --user pandas

pip install --user pandas

>>>import numpy as np 



>>>x = np.array([1, 2, 3, 4, 5, 6])

>>>y = np.array([12.3424, 323.1234, 125.4342, 342.1234, 654.4342, 234.3434])



>>>for x, y in zip(x, y):

       print('{0}t{1:.1f}'.format(x, y))



    1     12.3

    2     323.1

    3     125.4

    4     342.1

    5     654.4

    6     234.3

Before you begin, install tabulate package

from terminal:

conda install tabulate

then the rest will be:

import numpy as np

from tabulate import tabulate





x = np.array([1, 4, 5, 100])

y = np.array([1.23452324, 6.2341238, 11.1348219, 100])



col_headers = ["x", "y"]



merged_array = np.array([x, y]).T





table = tabulate(merged_array , col_headers, tablefmt="fancy_grid", floatfmt = ".2f")



print(table)

╒════════╤════════╕

│      x │      y │

╞════════╪════════╡

│   1.00 │   1.23 │

├────────┼────────┤

│   4.00 │   6.23 │

├────────┼────────┤

│   5.00 │  11.13 │

├────────┼────────┤

│ 100.00 │ 100.00 │

╘════════╧════════╛