Exemplo n.º 1
0
def populate_examples(num_examples=None,
                      category=None,
                      shuffle=False,
                      shuffle_seed=42,
                      **kwargs):
    """Iterate through Altair examples and extract code"""

    examples = sorted(iter_examples_with_metadata(), key=itemgetter('name'))
    if category is not None:
        examples = [ex for ex in examples if ex['category'] == category]
    if shuffle:
        random.Random(shuffle_seed).shuffle(examples)
    if num_examples is not None:
        examples = examples[:num_examples]

    for prev_ex, example, next_ex in prev_this_next(examples):
        try:
            code = Chart.from_dict(example['spec']).to_altair()
        except Exception as e:
            warnings.warn('altair-gallery: example {0} produced an error:\n'
                          '{1}\n{2}'.format(example['name'], type(e), str(e)))
            code = '# (Altair JSON conversion failed).\nChart()'

        example['code'] = code

        if prev_ex:
            example['prev_ref'] = "gallery_{name}".format(**prev_ex)

        if next_ex:
            example['next_ref'] = "gallery_{name}".format(**next_ex)

        example['filename'] = '{0}.rst'.format(example['name'])
        example.update(kwargs)

    return examples
Exemplo n.º 2
0
def populate_examples(num_examples=None, category=None, shuffle=False,
                      shuffle_seed=42, **kwargs):
    """Iterate through Altair examples and extract code"""

    examples = sorted(iter_examples_with_metadata(), key=itemgetter('name'))
    if category is not None:
        examples = [ex for ex in examples if ex['category'] == category]
    if shuffle:
        random.Random(shuffle_seed).shuffle(examples)
    if num_examples is not None:
        examples = examples[:num_examples]

    for prev_ex, example, next_ex in prev_this_next(examples):
        try:
            code = Chart.from_dict(example['spec']).to_altair()
        except Exception as e:
            warnings.warn('altair-gallery: example {0} produced an error:\n'
                          '{1}\n{2}'.format(example['name'], type(e), str(e)))
            code = '# (Altair JSON conversion failed).\nChart()'

        example['code'] = code

        if prev_ex:
            example['prev_ref'] = "gallery_{name}".format(**prev_ex)

        if next_ex:
            example['next_ref'] = "gallery_{name}".format(**next_ex)

        example['filename'] = '{0}.rst'.format(example['name'])
        example.update(kwargs)

    return examples
Exemplo n.º 3
0
def populate_examples(**kwargs):
    """Iterate through Altair examples and extract code"""

    examples = list(iter_examples_with_metadata())

    for prev_ex, example, next_ex in prev_this_next(examples):
        try:
            code = Chart.from_dict(example['spec']).to_altair()
        except Exception as e:
            warnings.warn('altair-gallery: example {0} produced an error:\n'
                          '{1}\n{2}'.format(example['name'], type(e), str(e)))
            code = '# (Altair JSON conversion failed).\nChart()'

        example['code'] = code

        if prev_ex:
            example['prev_ref'] = "gallery_{name}".format(**prev_ex)

        if next_ex:
            example['next_ref'] = "gallery_{name}".format(**next_ex)

        example['filename'] = '{0}.rst'.format(example['name'])
        example.update(kwargs)

    return examples
Exemplo n.º 4
0
def make_images(image_dir, default_image, make_thumbnails=True):
    """Use nodejs to make images and (optionally) thumbnails"""

    can_save = Chart._png_output_available()
    if not can_save:
        warnings.warn('Node is not correctly configured: cannot save images.')

    if not os.path.exists(image_dir):
        os.makedirs(image_dir)

    # store hashes so that we know whether images need to be generated
    hash_file = os.path.join(image_dir, '_image_hashes.json')

    if os.path.exists(hash_file):
        with open(hash_file) as f:
            hashes = json.load(f)
    else:
        hashes = {}

    for example in iter_examples_with_metadata():
        filename = example['name'] + '.png'
        image_file = os.path.join(image_dir, filename)

        # check whether image already exists
        spec = example['spec']
        spec_hash = dict_hash(spec)
        hashes_match = not hashes.get(filename, '') == spec_hash

        if hashes_match or not os.path.exists(image_file) or hashes_match:
            if can_save:
                chart = Chart.from_dict(spec)
                try:
                    print('-> saving {0}'.format(image_file))
                    chart.savechart(image_file)
                except CalledProcessError:
                    warnings.warn('Node is not correctly configured: '
                                  'cannot save images.')
                    can_save = False
                    if not os.path.exists(image_file):
                        shutil.copyfile(default_image, image_file)
                else:
                    hashes[filename] = spec_hash
            elif not os.path.exists(image_file):
                shutil.copyfile(default_image, image_file)

        if make_thumbnails:
            params = example.get('galleryParameters', {})
            thumb_file = os.path.join(image_dir,
                                      example['name'] + '-thumb.png')
            create_thumbnail(image_file, thumb_file, **params)

    # Save hashes so we know whether we need to re-generate plots
    if hashes:
        with open(hash_file, 'w') as f:
            json.dump(hashes, f)
Exemplo n.º 5
0
def make_images(image_dir, default_image, make_thumbnails=True):
    """Use nodejs to make images and (optionally) thumbnails"""

    can_save = Chart._png_output_available()
    if not can_save:
        warnings.warn('Node is not correctly configured: cannot save images.')

    if not os.path.exists(image_dir):
        os.makedirs(image_dir)

    # store hashes so that we know whether images need to be generated
    hash_file = os.path.join(image_dir, '_image_hashes.json')

    if os.path.exists(hash_file):
        with open(hash_file) as f:
            hashes = json.load(f)
    else:
        hashes = {}

    for example in iter_examples_with_metadata():
        filename = example['name'] + '.png'
        image_file = os.path.join(image_dir, filename)

        # check whether image already exists
        spec = example['spec']
        spec_hash = dict_hash(spec)
        hashes_match = not hashes.get(filename, '') == spec_hash

        if hashes_match or not os.path.exists(image_file) or hashes_match:
            if can_save:
                chart = Chart.from_dict(spec)
                try:
                    print('-> saving {0}'.format(image_file))
                    chart.savechart(image_file)
                except CalledProcessError:
                    warnings.warn('Node is not correctly configured: '
                                  'cannot save images.')
                    can_save = False
                    if not os.path.exists(image_file):
                        shutil.copyfile(default_image, image_file)
                else:
                    hashes[filename] = spec_hash
            elif not os.path.exists(image_file):
                shutil.copyfile(default_image, image_file)

        if make_thumbnails:
            params = example.get('galleryParameters', {})
            thumb_file = os.path.join(image_dir,
                                      example['name'] + '-thumb.png')
            create_thumbnail(image_file, thumb_file, **params)

    # Save hashes so we know whether we need to re-generate plots
    if hashes:
        with open(hash_file, 'w') as f:
            json.dump(hashes, f)
Exemplo n.º 6
0
def make_images(image_dir, default_image, make_thumbnails=True):
    """Use nodejs to make images and (optionally) thumbnails"""

    can_save = savechart_available()
    if not can_save:
        warnings.warn('Node is not correctly configured: cannot save images.')

    if not os.path.exists(image_dir):
        os.makedirs(image_dir)

    # store hashes so that we know whether images need to be generated
    hash_file = os.path.join(image_dir, '_image_hashes.json')

    if os.path.exists(hash_file):
        with open(hash_file) as f:
            hashes = json.load(f)
    else:
        hashes = {}

    for example in iter_examples_with_metadata():
        filename = example['name'] + '.png'
        image_file = os.path.join(image_dir, filename)

        # check whether image already exists
        spec = example['spec']
        spec_hash = dict_hash(spec)
        if hashes.get(filename, '') == spec_hash:
            continue

        if can_save:
            chart = Chart.from_dict(spec)
            try:
                print('-> saving {0}'.format(image_file))
                savechart(chart, image_file)
            except NodeExecError:
                warnings.warn(
                    'Node is not correctly configured: cannot save images.')
                can_save = False
                if not os.path.exists(image_file):
                    shutil.copyfile(default_image, image_file)
            else:
                hashes[filename] = spec_hash
        elif not os.path.exists(image_file):
            shutil.copyfile(default_image, image_file)

        if make_thumbnails:
            convert_pct = lambda x: 0.01 * int(x.strip('%'))
            params = example.get('galleryParameters', {})

            zoom = params.get('backgroundSize', '100%')
            if zoom == 'contains': zoom = '100%'
            zoom = convert_pct(zoom)

            #position = params.get('backgroundPosition', '0% 0%')
            #if position == 'left': position = '0% 0%'
            #xoffset, yoffset = map(convert_pct, position.split())

            thumb_file = os.path.join(image_dir,
                                      example['name'] + '-thumb.png')
            create_thumbnail(image_file, thumb_file, zoom=zoom)

    # Save hashes so we know whether we need to re-generate plots
    if hashes:
        with open(hash_file, 'w') as f:
            json.dump(hashes, f)
Exemplo n.º 7
0
def make_images(image_dir, default_image, make_thumbnails=True):
    """Use nodejs to make images and (optionally) thumbnails"""

    can_save = savechart_available()
    if not can_save:
        warnings.warn('Node is not correctly configured: cannot save images.')

    if not os.path.exists(image_dir):
        os.makedirs(image_dir)

    # store hashes so that we know whether images need to be generated
    hash_file = os.path.join(image_dir, '_image_hashes.json')

    if os.path.exists(hash_file):
        with open(hash_file) as f:
            hashes = json.load(f)
    else:
        hashes = {}

    for example in iter_examples_with_metadata():
        filename = example['name'] + '.png'
        image_file = os.path.join(image_dir, filename)

        # check whether image already exists
        spec = example['spec']
        spec_hash = dict_hash(spec)
        if hashes.get(filename, '') == spec_hash:
            continue

        if can_save:
            chart = Chart.from_dict(spec)
            try:
                print('-> saving {0}'.format(image_file))
                savechart(chart, image_file)
            except NodeExecError:
                warnings.warn('Node is not correctly configured: cannot save images.')
                can_save = False
                if not os.path.exists(image_file):
                    shutil.copyfile(default_image, image_file)
            else:
                hashes[filename] = spec_hash
        elif not os.path.exists(image_file):
            shutil.copyfile(default_image, image_file)

        if make_thumbnails:
            convert_pct = lambda x: 0.01 * int(x.strip('%'))
            params = example.get('galleryParameters', {})

            zoom = params.get('backgroundSize', '100%')
            if zoom == 'contains': zoom = '100%'
            zoom = convert_pct(zoom)

            #position = params.get('backgroundPosition', '0% 0%')
            #if position == 'left': position = '0% 0%'
            #xoffset, yoffset = map(convert_pct, position.split())

            thumb_file = os.path.join(image_dir, example['name'] + '-thumb.png')
            create_thumbnail(image_file, thumb_file, zoom=zoom)

    # Save hashes so we know whether we need to re-generate plots
    if hashes:
        with open(hash_file, 'w') as f:
            json.dump(hashes, f)