Overview#

This notebook gives a general overview of the features included in the dataset.

RESULTS_PATH = os.path.abspath(os.path.join(utils.OUTPUT_FOLDER, "overview"))
os.makedirs(RESULTS_PATH, exist_ok=True)


def make_output_path(
    filename: str,
    extension=None,
    path=RESULTS_PATH,
) -> str:
    return utils.make_output_path(filename=filename, extension=extension, path=path)


def save_figure_as(
    fig, filename, formats=("png", "pdf"), directory=RESULTS_PATH, **kwargs
):
    if formats is not None:
        for fmt in formats:
            plotting.write_image(fig, filename, directory, format=fmt, **kwargs)
    else:
        plotting.write_image(fig, filename, directory, **kwargs)

Loading data

D = utils.get_dataset("couperin_clavecin", corpus_release="v2.4")
package = D.inputs.get_package()
package_info = package._package.custom
git_tag = package_info.get("git_tag")
utils.print_heading("Data and software versions")
print("François Couperin – L'art de toucher le clavecin version v2.4")
print(f"Datapackage '{package.package_name}' @ {git_tag}")
print(f"dimcat version {dc.__version__}\n")
D

Data and software versions
--------------------------

François Couperin – L'art de toucher le clavecin version v2.4
Datapackage 'couperin_clavecin' @ v2.4
dimcat version 3.4.0

Dataset
=======
{'inputs': {'basepath': None,
            'packages': {'couperin_clavecin': ["'couperin_clavecin.measures' (MuseScoreFacetName.MuseScoreMeasures)",
                                               "'couperin_clavecin.notes' (MuseScoreFacetName.MuseScoreNotes)",
                                               "'couperin_clavecin.expanded' (MuseScoreFacetName.MuseScoreHarmonies)",
                                               "'couperin_clavecin.chords' (MuseScoreFacetName.MuseScoreChords)",
                                               "'couperin_clavecin.metadata' (FeatureName.Metadata)"]}},
 'outputs': {'basepath': None, 'packages': {}},
 'pipeline': []}

filtered_D = filters.HasHarmonyLabelsFilter(keep_values=[True]).process(D)
all_metadata = filtered_D.get_metadata()
assert len(all_metadata) > 0, "No pieces selected for analysis."
all_metadata

		TimeSig	KeySig	last_mc	last_mn	length_qb	last_mc_unfolded	last_mn_unfolded	length_qb_unfolded	volta_mcs	all_notes_qb	...	imslp	musicbrainz	originalFormat	pdf	viaf	wikidata	staff_1_ambitus	staff_1_instrument	staff_2_ambitus	staff_2_instrument
corpus	piece
couperin_clavecin	00_allemande	{1: '4/4'}	{1: -1}	15	13	52.0	30	26	104.0	()	101.75	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/6cb4ad23-dbd1-486...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	62-84 (D4-C6)	Harpsichord	33-64 (A1-E4)	Harpsichord
	01_premier_prelude	{1: '4/4'}	{1: 0}	20	20	80.0	20	20	80.0	()	302.50	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/5a8d962b-450c-45f...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	50-67 (D3-G4)	Harpsichord	31-57 (G1-A3)	Harpsichord
	02_second_prelude	{1: '4/4'}	{1: -1}	19	18	74.0	19	18	74.0	()	251.50	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/543870fd-f9e8-428...	musicxml	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	55-79 (G3-G5)	Harpsichord	33-65 (A1-F4)	Harpsichord
	03_troisieme_prelude	{1: '6/4'}	{1: -2}	18	18	108.0	18	18	108.0	()	350.50	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/2bd3368a-d5a1-4d9...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	55-79 (G3-G5)	Harpsichord	31-72 (G1-C5)	Harpsichord
	04_quatrieme_prelude	{1: '2/2'}	{1: -1}	23	23	92.0	23	23	92.0	()	312.75	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/e0231f6a-4e4a-4f3...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	50-74 (D3-D5)	Harpsichord	31-58 (G1-Bb3)	Harpsichord
	05_cinquieme_prelude	{1: '4/4'}	{1: 3}	24	24	96.0	24	24	96.0	()	324.04	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/f5184d09-d37c-47b...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	54-79 (F#3-G5)	Harpsichord	33-64 (A1-E4)	Harpsichord
	06_sixieme_prelude	{1: '3/8'}	{1: 2}	59	59	88.5	59	59	88.5	()	246.50	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/363ac620-fdc3-440...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	49-86 (C#3-D6)	Harpsichord	33-76 (A1-E5)	Harpsichord
	07_septieme_prelude	{1: '4/4'}	{1: -2}	24	24	96.0	24	24	96.0	()	269.00	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/e285d2d1-63c8-4d8...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	48-77 (C3-F5)	Harpsichord	36-70 (C2-Bb4)	Harpsichord
	08_huitieme_prelude	{1: '6/8'}	{1: 1}	31	31	93.0	31	31	93.0	()	255.00	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/4dbd9bcd-830d-4d4...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	54-83 (F#3-B5)	Harpsichord	35-71 (B1-B4)	Harpsichord

9 rows × 57 columns

mean_composition_years = utils.corpus_mean_composition_years(all_metadata)
chronological_order = mean_composition_years.index.to_list()
corpus_colors = dict(zip(chronological_order, utils.CORPUS_COLOR_SCALE))
corpus_names = {
    corp: utils.get_corpus_display_name(corp) for corp in chronological_order
}
chronological_corpus_names = list(corpus_names.values())
corpus_name_colors = {
    corpus_names[corp]: color for corp, color in corpus_colors.items()
}

mean_composition_years

corpus
couperin_clavecin    1716.5
Name: mean_composition_year, dtype: float64

Composition dates#

This section relies on the dataset’s metadata.

valid_composed_start = pd.to_numeric(all_metadata.composed_start, errors="coerce")
valid_composed_end = pd.to_numeric(all_metadata.composed_end, errors="coerce")
print(
    f"Composition dates range from {int(valid_composed_start.min())} {valid_composed_start.idxmin()} "
    f"to {int(valid_composed_end.max())} {valid_composed_end.idxmax()}."
)

Composition dates range from 1716 ('couperin_clavecin', '00_allemande') to 1717 ('couperin_clavecin', '00_allemande').

Mean composition years per corpus#

def make_summary(metadata_df):
    piece_is_annotated = metadata_df.label_count > 0
    return metadata_df[piece_is_annotated].copy()

summary

		TimeSig	KeySig	last_mc	last_mn	length_qb	last_mc_unfolded	last_mn_unfolded	length_qb_unfolded	volta_mcs	all_notes_qb	...	imslp	musicbrainz	originalFormat	pdf	viaf	wikidata	staff_1_ambitus	staff_1_instrument	staff_2_ambitus	staff_2_instrument
corpus	piece
couperin_clavecin	00_allemande	{1: '4/4'}	{1: -1}	15	13	52.0	30	26	104.0	()	101.75	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/6cb4ad23-dbd1-486...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	62-84 (D4-C6)	Harpsichord	33-64 (A1-E4)	Harpsichord
	01_premier_prelude	{1: '4/4'}	{1: 0}	20	20	80.0	20	20	80.0	()	302.50	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/5a8d962b-450c-45f...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	50-67 (D3-G4)	Harpsichord	31-57 (G1-A3)	Harpsichord
	02_second_prelude	{1: '4/4'}	{1: -1}	19	18	74.0	19	18	74.0	()	251.50	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/543870fd-f9e8-428...	musicxml	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	55-79 (G3-G5)	Harpsichord	33-65 (A1-F4)	Harpsichord
	03_troisieme_prelude	{1: '6/4'}	{1: -2}	18	18	108.0	18	18	108.0	()	350.50	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/2bd3368a-d5a1-4d9...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	55-79 (G3-G5)	Harpsichord	31-72 (G1-C5)	Harpsichord
	04_quatrieme_prelude	{1: '2/2'}	{1: -1}	23	23	92.0	23	23	92.0	()	312.75	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/e0231f6a-4e4a-4f3...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	50-74 (D3-D5)	Harpsichord	31-58 (G1-Bb3)	Harpsichord
	05_cinquieme_prelude	{1: '4/4'}	{1: 3}	24	24	96.0	24	24	96.0	()	324.04	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/f5184d09-d37c-47b...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	54-79 (F#3-G5)	Harpsichord	33-64 (A1-E4)	Harpsichord
	06_sixieme_prelude	{1: '3/8'}	{1: 2}	59	59	88.5	59	59	88.5	()	246.50	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/363ac620-fdc3-440...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	49-86 (C#3-D6)	Harpsichord	33-76 (A1-E5)	Harpsichord
	07_septieme_prelude	{1: '4/4'}	{1: -2}	24	24	96.0	24	24	96.0	()	269.00	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/e285d2d1-63c8-4d8...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	48-77 (C3-F5)	Harpsichord	36-70 (C2-Bb4)	Harpsichord
	08_huitieme_prelude	{1: '6/8'}	{1: 1}	31	31	93.0	31	31	93.0	()	255.00	...	https://imslp.org/wiki/L'Art_de_toucher_le_cla...	https://musicbrainz.org/work/4dbd9bcd-830d-4d4...	mxl	https://imslp.org/wiki/Special:ReverseLookup/3...	https://viaf.org/viaf/185250979/	https://www.wikidata.org/wiki/Q3817964	54-83 (F#3-B5)	Harpsichord	35-71 (B1-B4)	Harpsichord

9 rows × 57 columns

Composition years histogram#

Dimensions#

Overview#

def make_overview_table(groupby, group_name="pieces"):
    n_groups = groupby.size().rename(group_name)
    absolute_numbers = dict(
        measures=groupby.last_mn.sum(),
        length=groupby.length_qb.sum(),
        notes=groupby.n_onsets.sum(),
        labels=groupby.label_count.sum(),
    )
    absolute = pd.DataFrame.from_dict(absolute_numbers)
    absolute = pd.concat([n_groups, absolute], axis=1)
    sum_row = pd.DataFrame(absolute.sum(), columns=["sum"]).T
    absolute = pd.concat([absolute, sum_row])
    return absolute


absolute = make_overview_table(summary.groupby("workTitle"))
# print(absolute.astype(int).to_markdown())
absolute.astype(int)

	pieces	measures	length	notes	labels
L’Art de toucher le clavecin	9	230	779	3422	717
sum	9	230	779	3422	717

def summarize_dataset(D):
    all_metadata = D.get_metadata()
    summary = make_summary(all_metadata)
    return make_overview_table(summary.groupby(level=0))


corpus_summary = summarize_dataset(D)
print(corpus_summary.astype(int).to_markdown())

|                   |   pieces |   measures |   length |   notes |   labels |
|:------------------|---------:|-----------:|---------:|--------:|---------:|
| couperin_clavecin |        9 |        230 |      779 |    3422 |      717 |
| sum               |        9 |        230 |      779 |    3422 |      717 |

Measures#

all_measures = D.get_feature("measures")
print(
    f"{len(all_measures.index)} measures over {len(all_measures.groupby(level=[0,1]))} files."
)
all_measures.head()

233 measures over 9 files.

			mc	mn	quarterbeats	duration_qb	keysig	timesig	act_dur	mc_offset	numbering_offset	dont_count	barline	breaks	repeats	next
corpus	piece	i
couperin_clavecin	00_allemande	0	1	0	0	2.75	-1	4/4	11/16	5/16	<NA>	1	<NA>	<NA>	firstMeasure	(2,)
		1	2	1	11/4	4.00	-1	4/4	1	0	<NA>	<NA>	<NA>	<NA>	<NA>	(3,)
		2	3	2	27/4	4.00	-1	4/4	1	0	<NA>	<NA>	<NA>	<NA>	<NA>	(4,)
		3	4	3	43/4	4.00	-1	4/4	1	0	<NA>	<NA>	<NA>	<NA>	<NA>	(5,)
		4	5	4	59/4	4.00	-1	4/4	1	0	<NA>	<NA>	<NA>	<NA>	<NA>	(6,)

all_measures.get_default_analysis().plot_grouped()

Harmony labels#

All symbols, independent of the local key (the mode of which changes their semantics).

try:
    all_annotations = D.get_feature("harmonylabels").df
except Exception:
    all_annotations = pd.DataFrame()
n_annotations = len(all_annotations.index)
includes_annotations = n_annotations > 0
if includes_annotations:
    display(all_annotations.head())
    print(f"Concatenated annotation tables contains {all_annotations.shape[0]} rows.")
    no_chord = all_annotations.root.isna()
    if no_chord.sum() > 0:
        print(
            f"{no_chord.sum()} of them are not chords. Their values are:"
            f" {all_annotations.label[no_chord].value_counts(dropna=False).to_dict()}"
        )
    all_chords = all_annotations[~no_chord].copy()
    print(
        f"Dataset contains {all_chords.shape[0]} tokens and {len(all_chords.chord.unique())} types over "
        f"{len(all_chords.groupby(level=[0,1]))} documents."
    )
    all_annotations["corpus_name"] = all_annotations.index.get_level_values(0).map(
        utils.get_corpus_display_name
    )
    all_chords["corpus_name"] = all_chords.index.get_level_values(0).map(
        utils.get_corpus_display_name
    )
else:
    print("Dataset contains no annotations.")

			mc	mn	quarterbeats	quarterbeats_all_endings	duration_qb	mc_onset	mn_onset	timesig	staff	voice	...	numeral_or_applied_to_numeral	intervals_over_bass	intervals_over_root	scale_degrees	scale_degrees_and_mode	scale_degrees_major	scale_degrees_minor	globalkey	localkey	chord
corpus	piece	i
couperin_clavecin	00_allemande	0	1	0	0	0	0.75	0	5/16	4/4	2	1	...	V	(M3, P5)	(M3, P5)	(5, #7, 2)	(5, #7, 2), minor	(5, 7, 2)	(5, #7, 2)	d	i	V
		1	1	0	3/4	3/4	2.00	3/16	1/2	4/4	2	1	...	i	(m3, P5)	(m3, P5)	(1, 3, 5)	(1, 3, 5), minor	(1, b3, 5)	(1, 3, 5)	d	i	i
		2	2	1	11/4	11/4	2.00	0	0	4/4	2	1	...	V	(M3, P5)	(M3, P5)	(5, #7, 2)	(5, #7, 2), minor	(5, 7, 2)	(5, #7, 2)	d	i	V
		3	2	1	19/4	19/4	1.00	1/2	1/2	4/4	2	1	...	IV	(m3, d5, m6)	(M3, P5, m7)	(#6, 1, 3, 4)	(#6, 1, 3, 4), minor	(6, 1, b3, 4)	(#6, 1, 3, 4)	d	i	IV65
		4	2	1	23/4	23/4	1.00	3/4	3/4	4/4	2	1	...	V	(m3, d5, m6)	(M3, P5, m7)	(#7, 2, 4, 5)	(#7, 2, 4, 5), minor	(7, 2, 4, 5)	(#7, 2, 4, 5)	d	i	V65

5 rows × 51 columns

Concatenated annotation tables contains 707 rows.
Dataset contains 707 tokens and 199 types over 9 documents.