Python matplotlib.colorbar.__doc__() Examples

The following are 8 code examples of matplotlib.colorbar.__doc__(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module matplotlib.colorbar , or try the search function .
Example #1
Source File: pyplot.py    From Computable with MIT License 4 votes vote down vote up 
def _setup_pyplot_info_docstrings():
    """
    Generates the plotting and docstring.

    These must be done after the entire module is imported, so it is
    called from the end of this module, which is generated by
    boilerplate.py.
    """
    # Generate the plotting docstring
    import re

    def pad(s, l):
        """Pad string *s* to length *l*."""
        if l < len(s):
            return s[:l]
        return s + ' ' * (l - len(s))

    commands = get_plot_commands()

    first_sentence = re.compile("(?:\s*).+?\.(?:\s+|$)", flags=re.DOTALL)

    # Collect the first sentence of the docstring for all of the
    # plotting commands.
    rows = []
    max_name = 0
    max_summary = 0
    for name in commands:
        doc = globals()[name].__doc__
        summary = ''
        if doc is not None:
            match = first_sentence.match(doc)
            if match is not None:
                summary = match.group(0).strip().replace('\n', ' ')
        name = '`%s`' % name
        rows.append([name, summary])
        max_name = max(max_name, len(name))
        max_summary = max(max_summary, len(summary))

    lines = []
    sep = '=' * max_name + ' ' + '=' * max_summary
    lines.append(sep)
    lines.append(' '.join([pad("Function", max_name),
                           pad("Description", max_summary)]))
    lines.append(sep)
    for name, summary in rows:
        lines.append(' '.join([pad(name, max_name),
                               pad(summary, max_summary)]))
    lines.append(sep)

    plotting.__doc__ = '\n'.join(lines)

## Plotting part 1: manually generated functions and wrappers ##
Example #2
Source File: pyplot.py    From matplotlib-4-abaqus with MIT License 4 votes vote down vote up 
def _setup_pyplot_info_docstrings():
    """
    Generates the plotting and docstring.

    These must be done after the entire module is imported, so it is
    called from the end of this module, which is generated by
    boilerplate.py.
    """
    # Generate the plotting docstring
    import re

    def pad(s, l):
        """Pad string *s* to length *l*."""
        if l < len(s):
            return s[:l]
        return s + ' ' * (l - len(s))

    commands = get_plot_commands()

    first_sentence = re.compile("(?:\s*).+?\.(?:\s+|$)", flags=re.DOTALL)

    # Collect the first sentence of the docstring for all of the
    # plotting commands.
    rows = []
    max_name = 0
    max_summary = 0
    for name in commands:
        doc = globals()[name].__doc__
        summary = ''
        if doc is not None:
            match = first_sentence.match(doc)
            if match is not None:
                summary = match.group(0).strip().replace('\n', ' ')
        name = '`%s`' % name
        rows.append([name, summary])
        max_name = max(max_name, len(name))
        max_summary = max(max_summary, len(summary))

    lines = []
    sep = '=' * max_name + ' ' + '=' * max_summary
    lines.append(sep)
    lines.append(' '.join([pad("Function", max_name),
                           pad("Description", max_summary)]))
    lines.append(sep)
    for name, summary in rows:
        lines.append(' '.join([pad(name, max_name),
                               pad(summary, max_summary)]))
    lines.append(sep)

    plotting.__doc__ = '\n'.join(lines)

## Plotting part 1: manually generated functions and wrappers ##
Example #3
Source File: pyplot.py    From neural-network-animation with MIT License 4 votes vote down vote up 
def _setup_pyplot_info_docstrings():
    """
    Generates the plotting and docstring.

    These must be done after the entire module is imported, so it is
    called from the end of this module, which is generated by
    boilerplate.py.
    """
    # Generate the plotting docstring
    import re

    def pad(s, l):
        """Pad string *s* to length *l*."""
        if l < len(s):
            return s[:l]
        return s + ' ' * (l - len(s))

    commands = get_plot_commands()

    first_sentence = re.compile("(?:\s*).+?\.(?:\s+|$)", flags=re.DOTALL)

    # Collect the first sentence of the docstring for all of the
    # plotting commands.
    rows = []
    max_name = 0
    max_summary = 0
    for name in commands:
        doc = globals()[name].__doc__
        summary = ''
        if doc is not None:
            match = first_sentence.match(doc)
            if match is not None:
                summary = match.group(0).strip().replace('\n', ' ')
        name = '`%s`' % name
        rows.append([name, summary])
        max_name = max(max_name, len(name))
        max_summary = max(max_summary, len(summary))

    lines = []
    sep = '=' * max_name + ' ' + '=' * max_summary
    lines.append(sep)
    lines.append(' '.join([pad("Function", max_name),
                           pad("Description", max_summary)]))
    lines.append(sep)
    for name, summary in rows:
        lines.append(' '.join([pad(name, max_name),
                               pad(summary, max_summary)]))
    lines.append(sep)

    plotting.__doc__ = '\n'.join(lines)

## Plotting part 1: manually generated functions and wrappers ##
Example #4
Source File: pyplot.py    From GraphicDesignPatternByPython with MIT License 4 votes vote down vote up 
def _setup_pyplot_info_docstrings():
    """
    Generates the plotting docstring.

    These must be done after the entire module is imported, so it is
    called from the end of this module, which is generated by
    boilerplate.py.
    """
    commands = get_plot_commands()

    first_sentence = re.compile(r"(?:\s*).+?\.(?:\s+|$)", flags=re.DOTALL)

    # Collect the first sentence of the docstring for all of the
    # plotting commands.
    rows = []
    max_name = len("Function")
    max_summary = len("Description")
    for name in commands:
        doc = globals()[name].__doc__
        summary = ''
        if doc is not None:
            match = first_sentence.match(doc)
            if match is not None:
                summary = inspect.cleandoc(match.group(0)).replace('\n', ' ')
        name = '`%s`' % name
        rows.append([name, summary])
        max_name = max(max_name, len(name))
        max_summary = max(max_summary, len(summary))

    separator = '=' * max_name + ' ' + '=' * max_summary
    lines = [
        separator,
        '{:{}} {:{}}'.format('Function', max_name, 'Description', max_summary),
        separator,
    ] + [
        '{:{}} {:{}}'.format(name, max_name, summary, max_summary)
        for name, summary in rows
    ] + [
        separator,
    ]
    plotting.__doc__ = '\n'.join(lines)


## Plotting part 1: manually generated functions and wrappers ##
Example #5
Source File: pyplot.py    From python3_ios with BSD 3-Clause "New" or "Revised" License 4 votes vote down vote up 
def _setup_pyplot_info_docstrings():
    """
    Generates the plotting docstring.

    These must be done after the entire module is imported, so it is
    called from the end of this module, which is generated by
    boilerplate.py.
    """
    commands = get_plot_commands()

    first_sentence = re.compile(r"(?:\s*).+?\.(?:\s+|$)", flags=re.DOTALL)

    # Collect the first sentence of the docstring for all of the
    # plotting commands.
    rows = []
    max_name = len("Function")
    max_summary = len("Description")
    for name in commands:
        doc = globals()[name].__doc__
        summary = ''
        if doc is not None:
            match = first_sentence.match(doc)
            if match is not None:
                summary = inspect.cleandoc(match.group(0)).replace('\n', ' ')
        name = '`%s`' % name
        rows.append([name, summary])
        max_name = max(max_name, len(name))
        max_summary = max(max_summary, len(summary))

    separator = '=' * max_name + ' ' + '=' * max_summary
    lines = [
        separator,
        '{:{}} {:{}}'.format('Function', max_name, 'Description', max_summary),
        separator,
    ] + [
        '{:{}} {:{}}'.format(name, max_name, summary, max_summary)
        for name, summary in rows
    ] + [
        separator,
    ]
    plotting.__doc__ = '\n'.join(lines)


## Plotting part 1: manually generated functions and wrappers ##
Example #6
Source File: pyplot.py    From coffeegrindsize with MIT License 4 votes vote down vote up 
def _setup_pyplot_info_docstrings():
    """
    Generates the plotting docstring.

    These must be done after the entire module is imported, so it is
    called from the end of this module, which is generated by
    boilerplate.py.
    """
    commands = get_plot_commands()

    first_sentence = re.compile(r"(?:\s*).+?\.(?:\s+|$)", flags=re.DOTALL)

    # Collect the first sentence of the docstring for all of the
    # plotting commands.
    rows = []
    max_name = len("Function")
    max_summary = len("Description")
    for name in commands:
        doc = globals()[name].__doc__
        summary = ''
        if doc is not None:
            match = first_sentence.match(doc)
            if match is not None:
                summary = inspect.cleandoc(match.group(0)).replace('\n', ' ')
        name = '`%s`' % name
        rows.append([name, summary])
        max_name = max(max_name, len(name))
        max_summary = max(max_summary, len(summary))

    separator = '=' * max_name + ' ' + '=' * max_summary
    lines = [
        separator,
        '{:{}} {:{}}'.format('Function', max_name, 'Description', max_summary),
        separator,
    ] + [
        '{:{}} {:{}}'.format(name, max_name, summary, max_summary)
        for name, summary in rows
    ] + [
        separator,
    ]
    plotting.__doc__ = '\n'.join(lines)


## Plotting part 1: manually generated functions and wrappers ##
Example #7
Source File: pyplot.py    From CogAlg with MIT License 4 votes vote down vote up 
def _setup_pyplot_info_docstrings():
    """
    Generates the plotting docstring.

    These must be done after the entire module is imported, so it is
    called from the end of this module, which is generated by
    boilerplate.py.
    """
    commands = get_plot_commands()

    first_sentence = re.compile(r"(?:\s*).+?\.(?:\s+|$)", flags=re.DOTALL)

    # Collect the first sentence of the docstring for all of the
    # plotting commands.
    rows = []
    max_name = len("Function")
    max_summary = len("Description")
    for name in commands:
        doc = globals()[name].__doc__
        summary = ''
        if doc is not None:
            match = first_sentence.match(doc)
            if match is not None:
                summary = inspect.cleandoc(match.group(0)).replace('\n', ' ')
        name = '`%s`' % name
        rows.append([name, summary])
        max_name = max(max_name, len(name))
        max_summary = max(max_summary, len(summary))

    separator = '=' * max_name + ' ' + '=' * max_summary
    lines = [
        separator,
        '{:{}} {:{}}'.format('Function', max_name, 'Description', max_summary),
        separator,
    ] + [
        '{:{}} {:{}}'.format(name, max_name, summary, max_summary)
        for name, summary in rows
    ] + [
        separator,
    ]
    plotting.__doc__ = '\n'.join(lines)


## Plotting part 1: manually generated functions and wrappers ##
Example #8
Source File: pyplot.py    From twitter-stock-recommendation with MIT License 4 votes vote down vote up 
def _setup_pyplot_info_docstrings():
    """
    Generates the plotting and docstring.

    These must be done after the entire module is imported, so it is
    called from the end of this module, which is generated by
    boilerplate.py.
    """
    # Generate the plotting docstring
    import re

    def pad(s, l):
        """Pad string *s* to length *l*."""
        if l < len(s):
            return s[:l]
        return s + ' ' * (l - len(s))

    commands = get_plot_commands()

    first_sentence = re.compile(r"(?:\s*).+?\.(?:\s+|$)", flags=re.DOTALL)

    # Collect the first sentence of the docstring for all of the
    # plotting commands.
    rows = []
    max_name = 0
    max_summary = 0
    for name in commands:
        doc = globals()[name].__doc__
        summary = ''
        if doc is not None:
            match = first_sentence.match(doc)
            if match is not None:
                summary = match.group(0).strip().replace('\n', ' ')
        name = '`%s`' % name
        rows.append([name, summary])
        max_name = max(max_name, len(name))
        max_summary = max(max_summary, len(summary))

    lines = []
    sep = '=' * max_name + ' ' + '=' * max_summary
    lines.append(sep)
    lines.append(' '.join([pad("Function", max_name),
                           pad("Description", max_summary)]))
    lines.append(sep)
    for name, summary in rows:
        lines.append(' '.join([pad(name, max_name),
                               pad(summary, max_summary)]))
    lines.append(sep)

    plotting.__doc__ = '\n'.join(lines)

## Plotting part 1: manually generated functions and wrappers ##