ProgressBar

class astropy.utils.console.ProgressBar(total_or_items, ipython_widget=False, file=None)

Bases: object

A class to display a progress bar in the terminal.

It is designed to be used either with the with statement:

with ProgressBar(len(items)) as bar:
    for item in enumerate(items):
        bar.update()

or as a generator:

for item in ProgressBar(items):
    item.process()

Parameters:

total_or_itemsint or sequence

If an int, the number of increments in the process being tracked. If a sequence, the items to iterate over.

ipython_widgetbool, optional

If True, the progress bar will display as an IPython notebook widget.

filewritable file-like object file-like object, optional

The file to write the progress bar to. Defaults to sys.stdout. If file is not a tty (as determined by calling its isatty member, if any, or special case hacks to detect the IPython console), the progress bar will be completely silent.

Methods Summary

map(function, items[, multiprocess, file, ...])	Map function over items while displaying a progress bar with percentage complete.
map_unordered(function, items[, ...])	Map function over items, reporting the progress.
update([value])	Update progress bar via the console or notebook accordingly.

Methods Documentation

classmethod map(function, items, multiprocess=False, file=None, step=100, ipython_widget=False, multiprocessing_start_method=None)

Map function over items while displaying a progress bar with percentage complete.

The map operation may run in arbitrary order on the items, but the results are returned in sequential order.

def work(i):
    print(i)

ProgressBar.map(work, range(50))

Parameters:

functionfunction

Function to call for each step

itemssequence

Sequence where each element is a tuple of arguments to pass to function.

multiprocessbool, int, optional

If True, use the multiprocessing module to distribute each task to a different processor core. If a number greater than 1, then use that number of cores.

ipython_widgetbool, optional

If True, the progress bar will display as an IPython notebook widget.

filewritable file-like object file-like object, optional

The file to write the progress bar to. Defaults to sys.stdout. If file is not a tty (as determined by calling its isatty member, if any), the scrollbar will be completely silent.

stepint, optional

Update the progress bar at least every step steps (default: 100). If multiprocess is True, this will affect the size of the chunks of items that are submitted as separate tasks to the process pool. A large step size may make the job complete faster if items is very long.

multiprocessing_start_methodstr, optional

Useful primarily for testing; if in doubt leave it as the default. When using multiprocessing, certain anomalies occur when starting processes with the “spawn” method (the only option on Windows); other anomalies occur with the “fork” method (the default on Linux).

classmethod map_unordered(function, items, multiprocess=False, file=None, step=100, ipython_widget=False, multiprocessing_start_method=None)

Map function over items, reporting the progress.

Does a map operation while displaying a progress bar with percentage complete. The map operation may run on arbitrary order on the items, and the results may be returned in arbitrary order.

def work(i):
    print(i)

ProgressBar.map(work, range(50))

Parameters:

functionfunction

Function to call for each step

itemssequence

Sequence where each element is a tuple of arguments to pass to function.

multiprocessbool, int, optional

If True, use the multiprocessing module to distribute each task to a different processor core. If a number greater than 1, then use that number of cores.

ipython_widgetbool, optional

If True, the progress bar will display as an IPython notebook widget.

filewritable file-like object file-like object, optional

The file to write the progress bar to. Defaults to sys.stdout. If file is not a tty (as determined by calling its isatty member, if any), the scrollbar will be completely silent.

stepint, optional

Update the progress bar at least every step steps (default: 100). If multiprocess is True, this will affect the size of the chunks of items that are submitted as separate tasks to the process pool. A large step size may make the job complete faster if items is very long.

multiprocessing_start_methodstr, optional

Useful primarily for testing; if in doubt leave it as the default. When using multiprocessing, certain anomalies occur when starting processes with the “spawn” method (the only option on Windows); other anomalies occur with the “fork” method (the default on Linux).

update(value=None)

Update progress bar via the console or notebook accordingly.