PyPrind (Python Progress Indicator)

The PyPrind (Python Progress Indicator) module provides a progress bar and a percentage indicator object that let you track the progress of a loop structure or other iterative computation.
Typical applications include the processing of large data sets to provide an intuitive estimate at runtime about the progress of the computation.

(Screenshot of Pypring executed in an IPython notebook)

###View more examples in an IPython Demo Notebook

**Example demonstration videos:**

• in a terminal shell
• in an IPython Notebook

## Sections

• Installation
• More Examples
• Documentation
• Examples
• Contact
• Changelog

Installation

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You can use the following command to install PyPrind:
pip install pyprind
or
easy_install pyprind

Alternatively, you download the package manually from the Python Package Index https://pypi.python.org/pypi/PyPrind, unzip it, navigate into the package, and use the command:

python setup.py install
or
python3 setup.py install

Documentation

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PyPrind consists of two class objects that can visualize the progress of a computation on the output screen.
Progress bars are visualized via a ProgBar() object, and alternatively, the progress can be tracked and shown as percentage via a ProgPercent() object.

The general usage of ProgBar() and ProgPercent() consists of 2 basic steps:

1. initialize a new ProgBar() or ProgPercent() object with the number of iterations of the computation that is to be performed
2. update the ProgBar() or ProgPercent() object for each iteration via the .update() method

n = 10000000
my_prbar = pyprind.ProgBar(n)   # 1) initialization with number of iterations
for i in range(n):	
    # do some computation
    my_prbar.update()           # 2) update the progress visualization

Default Parameters

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class ProgBar(Prog):
    """
    Initializes a progress bar object that allows visuzalization
    of an iterational computation in the standard output screen. 
    Keyword Arguments:
        iterations (int): number of iterations of the computation
        track_time (bool): default True. Prints elapsed time when loop has finished
        width (int): default 30. Sets the progress bar width in characters.
        stream (int): default 2. Takes 1 for stdout, 2 for stderr, or given stream object
        title (str): default ''. A title for the progress bar
        monitor (bool): default False. Monitors CPU and memory usage if True 
            (requires 'psutil' package).
    """

class ProgPercent(Prog):
    """
    Initializes a percentage indicator object that allows visuzalization
    of an iterational computation in the standard output screen. 
    Keyword Arguments:
        iterations (int): number of iterations of the computation
        track_time (bool): default True. Prints elapsed time when loop has finished
        stream (int): default 2. Takes 1 for stdout, 2 for stderr, or given stream object
        title (str): default ''. A title for the progress bar
        monitor (bool): default False. Monitors CPU and memory usage if True 
            (requires 'psutil' package).
    """

def update(self, iterations=1, item_id=None):
    """
    Updates the progress bar / percentage indicator in every iteration of the task.
    Keyword arguments:
        iterations (int): default argument can be changed to integer values
            >=1 in order to update the progress indicators more than once 
            per iteration.
        item_id (str): prints item id behind the progress bar.
    """

Setting the width of the progress bar

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my_prog = pyprind.ProgBar(n, width=70) # default = 50

Set whether CPU time should be reported or not

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The optional track_time parameter can be set for both ProgBar() and ProgPercent() objects.

my_prbar = pyprind.ProgBar(n, track_time=False) # default = True
my_perc = pyprind.ProgPercent(n, track_time=False) # default = True

ProgBar objects will print the estimated time left and the total time
when the computation has finished.
ProgPercent objects reports the elapsed time during the computation and prints
the estimated finish time of the loop.

Selecting an output stream

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By default, pyprind objects writes output to the Standard error stream (stderr). If you
want to direct the output to the Standard output (stdout), you can initialize pyprind with the argument stream=2.

my_prbar = pyprind.ProgBar(n, stream=1) # writes to stdout
my_prbar = pyprind.ProgBar(n, stream=2) # writes to stderr, default

You can also just use a given stream by passing it directly:
Example:

my_prbar = pyprind.ProgBar(n, stream=self.stdout)  # writes to given stream

#### Giving a tracking object a title [[back to top](#sections)]

If a tracking object is initialized with a title, it is printed when a new tracking
object is initialized. The title and elapsed time can be printed via the print() function after the tracking has finished.

my_prbar = pyprind.ProgBar(n, title='My Progress Bar')

Screen output:
My Progress Bar
0%                          100%
[##############################] | ETA[sec]: 0.000

#### Printing a tracking object [[back to top](#sections)]

The print() function can be invoked after the tracking is completed to
print the title and elapsed time to the screen.

n = 1000000
    my_bar = pyprind.ProgBar(n, title='My Progress Bar')
    for i in range(n):
        # do some computation
        my_bar.update()
    print('\n\nPrint tracking object ...\n')
    print(my_bar)

Screen output:

My Progress Bar
0%                          100%
[##############################] | ETA[sec]: 0.000 
Total time elapsed: 6.399 sec
Title: My Progress Bar
                      Started: 04/18/2014 19:12:07
                      Finished: 04/18/2014 19:12:14
                      Total time elapsed: 6.399 sec

#### Printing a tracking object with CPU and memory usage [[back to top](#sections)]

If we additionally want to print() the CPU and memory usage after a run has completed, we have to set the monitor argument to True when we initialize a new tracking object. (Note: the monitor mode requires the psutil package.)

n = 1000000
    my_bar = pyprind.ProgBar(n, title='My Progress Bar', monitor=True)
    for i in range(n):
        # do some computation
        my_bar.update()
    print('\n\nPrint tracking object ...\n')
    print(my_bar)

Screen output:

My Progress Bar
0%                          100%
[##############################] | ETA[sec]: 0.000 
Total time elapsed: 6.391 sec
Title: My Progress Bar
                      Started: 04/18/2014 19:16:55
                      Finished: 04/18/2014 19:17:02
                      Total time elapsed: 6.391 sec
                      CPU %: 91.200000
                      Memory %: 0.098133

Small note on usage in a custom Django management command.

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Django gives you a stdout object on the BaseCommand class. You will need to pass this to pyprind as done above. Also note that by default, Django appends a newline to every write. This uglyfies pyprind output, so ensure the write function gets passed ending="". pyprind will NOT do this for you.

Examples

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A subset of examples is given in the section below, more examples can be found in this IPython Demo Notebook.

Example - Progress Bar (simple)

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import pyprind

n = 10000000
my_prbar = pyprind.ProgBar(n)
for i in range(n):
    # do some computation
    my_prbar.update()

Screen Output

sebastian > python3 ./examples/ex1_progress_bar.py 
0%                                    100%
[########################################] - ETA[sec]: 0.000  
Total time elapsed: 4.481 sec

Example - Percentage Indicator (simple)

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import pyprind

n = 1000000
my_perc = pyprind.ProgPercent(n)
for i in range(n):
    # do some computation
    my_perc.update()

Screen Output

sebastian > python3 ./examples/ex1_percentage_indicator.py 
[ 34 %]   elapsed [sec]: 1.377  | ETA [sec]: 2.570

###View more examples in an IPython Demo Notebook

Contact

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If you have any questions or comments about PyPrind, please feel free to contact me via
eMail: se.raschka@gmail.com
or Twitter: @rasbt

The pyprind module can be found on GitHub at https://github.com/rasbt/pyprind

Changelog

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VERSION 2.8.0

• A new .stop() method to stop the progress bar / percentage indicator early.

• .update() method accepts an item_id argument now in order to display which item is currently processed next to the progress bar / percentage indicator. E.g.,

  Job1 0% 100% [####################] | ETA[sec]: 0.000 | Item ID: file_xyz.csv

VERSION 2.7.0

• Version intentionally skipped to not cause confusion that this is a tool exclusively for Python 2.7

VERSION 2.6.2

• Fixed bug that the report was squeezed after the bar and before the "time elapsed" string if printed immediately after the progress bar has reached 100%.

VERSION 2.6.1

• small bugfix on some system a warning was printed although a valid output string was provided

VERSION 2.6.0

• Added IPython Notebook support
• Fixed to work with most recent psutil v. 0.6 for monitoring CPU and memory usage

VERSION 2.5.0

• new default argument monitor=False was added to ProgBar() and ProgPercent() objects to monitor memory and CPU usage (via psutil) if monitor is set to True.

VERSION 2.4.0

• default argument for .update(iterations=1) methods to increment the count by more than 1 per iteration.

VERSION 2.3.1

• minor fix of the output formatting

VERSION 2.3.0

• added native print() support prints title and elapsed time of an tracked object after loop completed
• data member self.end stores elapsed time when loop completed
• data member self.title saves title of the tracking objects

VERSION 2.2.0

• added ETA (estimated time until arrival) tracking to progress bar
  by Taylan Aydinli
• better support for Python 2.x

VERSION 2.1.1

• changed visuals of the printed progress for percentage indicators

VERSION 2.1.0

• added ETA (estimated time until arrival) tracking by Taylan Aydinli

VERSION 2.0.3

• Accepts a given outputstream for the stream parameter.

VERSION 2.0.2

• Fixed bug that occurred for some Python 3.3.3 users specifically on Linux Red Hat 4.4.7-1, GCC v. 4.4.7 that self.max_iter was cast to a float when ProgBar() object was seeded with n=48

VERSION 2.0.1

• fixed packaging of example files

VERSION 2.0.0

• ProgBar and ProgPerc inherit data members from parent class Prog

• Added ProgBar and ProgPerc default argument stream=2 to write to stderr by default. Set stream=1 to write to stdout.

  my_prbar = pyprind.ProgBar(n, stream=1) # writes to stdout my_prbar = pyprind.ProgBar(n, stream=2) # writes to stderr, default

• Does not redirect data to the standard output or error stream if program is not outputting to a terminal

VERSION 1.1.1

• fixed problem with packaging of example scripts

VERSION 1.1.0

• Added live time tracking to percentage indicator
• progress bar and percentage indicator complete automatically, .finish() was removed

VERSION 1.0.4

• Added boundary that .update() can't print over the right progress bar limit.
• Prints warning when ProgBar seed exits the number of iterations in the loop.

VERSION 1.0.3

• Reformatting of README files
• minor updates in setup.py file

VERSION 1.0.2

• corrected errors in the README files
• added docstring to the init.py

VERSION 1.0.1

• added more README formats
• added class descriptions
• added example scripts to the distribution