import termplotlib as tpl
import numpy

x = numpy.linspace(0, 2 * numpy.pi, 10)
y = numpy.sin(x)

fig = tpl.figure()
fig.plot(x, y, label="data", width=50, height=15)
fig.show()

after run this piece of code ,there are error ,

if self._width is None:
---> 33             width = max([len(line) for c in self._content for line in c])
     34             width += padding_lr
     35         else:

did you come up with this problem?

I ran into this issue when using asciiplotlib in a celery worker where celery replaces sys.stdout with a proxy object called LoggingProxy which does not have an encoding attribute. This seems to be valid as far as the python documentation goes so probably asciiplotlib should check if the attribute exists? The specific line that causes problem

asciiplotlib/table.py in _get_border_chars at line 31

        border_chars = None
    elif isinstance(border_style, list):
        assert len(border) == 11
        border_chars = border
    else:
        if sys.stdout.encoding in ["UTF-8", "UTF8"] and not force_ascii: # Here
            border_chars = {
                "thin": ["─", "│", "┌", "┐", "└", "┘", "├", "┤", "┬", "┴", "┼"],
                "rounded": ["─", "│", "╭", "╮", "╰", "╯", "├", "┤", "┬", "┴", "┼"],
                "thick": ["━", "┃", "┏", "┓", "┗", "┛", "┣", "┫", "┳", "┻", "╋"],
                "double": ["═", "║", "╔", "╗", "╚", "╝", "╠", "╣", "╦", "╩", "╬"],

This adds a formatting similar to what is already implemented for the integers when using float in barh :

Before :

Water  [3.05]  *************
Milk   [10.1]  ****************************************
Juice  [5.00756]  ********************

After:

Water  [ 3.05000]  *************
Milk   [10.10000]  ****************************************
Juice  [ 5.00756]  ********************

Each float value now uses the same width producing a better alignment of the bars.

Test script:

import termplotlib as tpl
data = ([3.05, 10.1, 5.00756], ['Water', 'Milk', 'Juice'])
fig = tpl.figure()
fig.barh(*data, force_ascii=True)
fig.show()

NaNs seem to mess up asciiplotlib The following:

import asciiplotlib as apl
from numpy import arange

fig = apl.figure()
fig.plot([100,101,102,103,104], [0,1,float("nan"), float("nan"),4])
fig.show()

Produces:

  120 +-----------+----------+-----------+----------+----------+-----------+
      |                                                                    |
      |                                                                    |
  100 +*******                                                             +
      |  **** ****                                                         |
      |      ***  ****                                                     |
   80 +         ****  ****                                                 +
      |             ****  ****                                             |
      |                 ***   ****                                         |
   60 +                    ****   ***                                      +
      |                        ***   ****                                  |
      |                           ****   ****                              |
      |                               ***    ****                          |
   40 +                                  ****    ****                      +
      |                                      ***     ****                  |
      |                                         ****     ****              |
   20 +                                             ****     ****          +
      |                                                 ***      *         |
      |                                                    ****   *        |
    0 +-----------+----------+-----------+----------+----------**----------+
      0           20         40          60         80        100         120

Interestingly, the x values affect the behavior, too. Using [0,1,2,3,4] for x instead produces a much more innocent-looking plot. Very strange.

When trying to run the first example in the readme,

import asciiplotlib as apl
import numpy

x = numpy.linspace(0, 2 * numpy.pi, 10)
y = numpy.sin(x)

fig = apl.figure()
fig.plot(x, y, label="data", width=50, height=15)
fig.show()

I get the following error;

Traceback (most recent call last):
  File "cliplot.py", line 26, in <module>
    fig.plot(x, y, label="data", width=50, height=15)
  File "C:\Users\uqasnosw\AppData\Local\Continuum\Miniconda3\envs\python36\lib\site-packages\asciiplotlib\figure.py", line 63, in plot
    self._content.append(plot(*args, **kwargs))
  File "C:\Users\uqasnosw\AppData\Local\Continuum\Miniconda3\envs\python36\lib\site-packages\asciiplotlib\plot.py", line 24, in plot
    stderr=subprocess.PIPE,
  File "C:\Users\uqasnosw\AppData\Local\Continuum\Miniconda3\envs\python36\lib\subprocess.py", line 709, in __init__
    restore_signals, start_new_session)
  File "C:\Users\uqasnosw\AppData\Local\Continuum\Miniconda3\envs\python36\lib\subprocess.py", line 997, in _execute_child
    startupinfo)
FileNotFoundError: [WinError 2] The system cannot find the file specified

I'm using Python 3.6 on Windows 10 64-bit.

Forgive the mundane question but does the GPLv3 allow me to use termplotlib as a dependency in my BSD open-source project? Or does this require re-licensing my project under GPL? This is a fantastic project 👍 good job.

Dear nschloe, your lib sounds nice! I got a different error in that code.. Any idea?

Traceback (most recent call last):
  File ".\app.py", line 51, in <module>
    fig.plot(x, y)
  File "mypath\env\lib\site-packages\termplotlib\figure.py", line 64, in plot
    self._content.append(plot(*args, **kwargs))
  File "mypath\env\lib\site-packages\termplotlib\plot.py", line 22, in plot
    stderr=subprocess.PIPE,
  File "mypath\appdata\local\programs\python\python37\Lib\subprocess.py", line 800, in __init__
    restore_signals, start_new_session)
  File "mypath\appdata\local\programs\python\python37\Lib\subprocess.py", line 1207, in _execute_child
    startupinfo)
FileNotFoundError: [WinError 2] The system cannot find the file specified

Hello, thank you for making this.

Long story:

In my use case I had a Pandas dataframe (DF) containing 1 panda series. This series had been created by resample a two series DF with dates and occurrences

The resampling is like an histogram binning: it add all occurrences by frequency. e.g (series with dates as index):

12:00 -> 17
12:30 -> 21
13:00 -> 11

(^this is greatly simplified)

TL;DR

I want to have something like this:

2020-04-11 23:00:00  [  28]  ▎
2020-04-11 23:30:00  [  29]  ▎
2020-04-12 00:00:00  [1299]  █████████████▌
2020-04-12 00:30:00  [2637]  ███████████████████████████▍
2020-04-12 01:00:00  [ 996]  ██████████▍
2020-04-12 01:30:00  [ 404]  ████▎
2020-04-12 02:00:00  [ 557]  █████▊

or something like that And maybe be able to format dates

What I changed

In my code I needed to change this line https://github.com/nschloe/termplotlib/blob/9827634d1a7049ca430506532bb048241788ad38/termplotlib/hist.py#L48

to this:

    if show_bin_edges:
        if type(bin_edges[0]) != int:
            labels = [str(d) for d in bin_edges]
        else:
            labels = [
                "{:+.2e} - {:+.2e}".format(bin_edges[k], bin_edges[k + 1])
                for k in range(len(bin_edges) - 1)
            ]

(I find it more readable to have just one side of the interval btw)

Advantage:

I could provide termplotlib.figure.hist() these equal length "lists":

counts = DF.series # ≡ list of occurences (or int list)
bin_edges = DF.series.index # ≡ list of dates

Feature request

Handle any types of bins dates (e.g. python datetimes; numpy datetimes64, ...) and their formats ?

As this might be too painful I think the str() could do most of it.

Thank you for reading Regards

Does this inly work with Python 3? :(

==================================== ERRORS ====================================
_____________________ ERROR collecting test/test_figure.py _____________________
ImportError while importing test module '/home/bla/Downloads/asciiplotlib/test/test_figure.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
test/test_figure.py:3: in <module>
    import asciiplotlib as apl
/usr/local/lib/python2.7/dist-packages/asciiplotlib/__init__.py:14: in <module>
    from .figure import Figure, figure
/usr/local/lib/python2.7/dist-packages/asciiplotlib/figure.py:5: in <module>
    from .table import table
/usr/local/lib/python2.7/dist-packages/asciiplotlib/table.py:3: in <module>
    from collections.abc import Sequence
E   ImportError: No module named abc

Amazing lib thanx alot @nschloe !

I am facing the following error (I am also pasting the arrays i am using for histogram and bins that might help you i guess):

Traceback (most recent call last):
  File "paura_lite.py", line 30, in <module>
    fig.hist(X2, freqs2, grid=[25, 25], force_ascii=False)
  File "/usr/local/lib/python3.6/site-packages/termplotlib/figure.py", line 56, in hist
    self._content.append(hist(*args, **kwargs))
  File "/usr/local/lib/python3.6/site-packages/termplotlib/hist.py", line 22, in hist
    force_ascii=force_ascii,
  File "/usr/local/lib/python3.6/site-packages/termplotlib/hist.py", line 123, in hist_vertical
    if row[pos] == 8 and (pos + 1 == len(row) or row[pos + 1] > 0):
IndexError: list index out of range

X2 and freqs2 are respectively (plotting the same arrays with either plot or horizontal histogram works just fine fyi

[124.41883839  35.41717879  31.53559882  28.65272995  21.51772978
  18.91799348  17.13384018  16.4547271   15.12907567  12.27610031
  12.89634676  10.55464499  10.1385237    9.76782805   8.12663877
   7.21406045   5.71375229   4.28627088   3.3031431    2.84735662]
[   0.  200.  400.  600.  800. 1000. 1200. 1400. 1600. 1800. 2000. 2200.
 2400. 2600. 2800. 3000. 3200. 3400. 3600. 3800. 4000.]

Hello, I just discovered this lib, this is very useful for servers without graphical interface! thanks a lot for the work.

I just can't make the widht and height arguments of plot function work :

(python 3.7.3)

>>> prof
array([-2.        , -2.        , -1.77777778, -1.77777778, -1.55555556,
       -1.55555556, -1.33333333, -1.33333333, -1.11111111, -1.11111111,
       -0.88888889, -0.88888889, -0.66666667, -0.66666667, -0.44444444,
       -0.44444444, -0.22222222, -0.22222222, -0.        , -0.        ,
        0.        ,  0.        ,  0.22222222,  0.22222222,  0.44444444,
        0.44444444,  0.66666667,  0.66666667,  0.88888889,  0.88888889,
        1.11111111,  1.11111111,  1.33333333,  1.33333333,  1.55555556,
        1.55555556,  1.77777778,  1.77777778,  2.        ,  2.        ])
>>> fig = tplt.figure()
>>> fig.plot(range(len(prof)), prof, width=len(prof), height=20)
>>> fig.show()

    2 +--------+-------+--------+--------+-------+--------+-------+----***-+
      |                                                            ****    |
  1.5 +                                                         ***        +
      |                                                     ****           |
      |                                                  ***               |
    1 +                                               ***                  +
      |                                           ****                     |
  0.5 +                                        ***                         +
      |                                    ****                            |
    0 +                              ******                                +
      |                             *                                      |
      |                          ***                                       |
 -0.5 +                      ****                                          +
      |                   ***                                              |
   -1 +                ***                                                 +
      |            ****                                                    |
      |         ***                                                        |
 -1.5 +     ****                                                           +
      |  ***                                                               |
   -2 ***------+-------+--------+--------+-------+--------+-------+--------+
      0        5       10       15       20      25       30      35       40

It seems that the plot uses the defaut values for widht and height of the figure. Maybe I did something wrong?

The horizontal view is useful if we're aware of the context (category, count) but it's missing the context of headers for application users.

Right now, I imagine the user has to get that working

Instead of just this,

Cats   [ 3]  ************
Dogs   [10]  ****************************************
Cows   [ 5]  ********************
Geese  [ 2]  ********

add a header:

Animals  Count
Cats     [ 3]   ************
Dogs     [10]   ****************************************
Cows     [ 5]   ********************
Geese    [ 2]   ********