Overview

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

Show imports Hide imports

%load_ext autoreload
%autoreload 2
import os

import dimcat as dc
import pandas as pd
import plotly.express as px
from dimcat import filters, plotting
from IPython.display import display

import utils

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("scarlatti_sonatas", 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("Domenico Scarlatti – Keyboard Sonatas version v2.4")
print(f"Datapackage '{package.package_name}' @ {git_tag}")
print(f"dimcat version {dc.__version__}\n")
D

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

Domenico Scarlatti – Keyboard Sonatas version v2.4
Datapackage 'scarlatti_sonatas' @ v2.4
dimcat version 3.4.0

Dataset
=======
{'inputs': {'basepath': None,
            'packages': {'scarlatti_sonatas': ["'scarlatti_sonatas.measures' (MuseScoreFacetName.MuseScoreMeasures)",
                                               "'scarlatti_sonatas.notes' (MuseScoreFacetName.MuseScoreNotes)",
                                               "'scarlatti_sonatas.expanded' (MuseScoreFacetName.MuseScoreHarmonies)",
                                               "'scarlatti_sonatas.chords' (MuseScoreFacetName.MuseScoreChords)",
                                               "'scarlatti_sonatas.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	...	pdf	typesetter	wikidata	viaf	musicbrainz	imslp	staff_1_ambitus	staff_1_instrument	staff_2_ambitus	staff_2_instrument
corpus	piece
scarlatti_sonatas	K001	{1: '4/4'}	{1: -1}	31	31	124.0	62	62	248.0	()	264.50	...	https://imslp.org/wiki/Special:ReverseLookup/3...	https://musescore.com/pongpob_c_	https://www.wikidata.org/wiki/Q6132112	https://viaf.org/viaf/178852701/	https://musicbrainz.org/work/4dad1f72-5f8d-3a6...	https://imslp.org/wiki/Keyboard_Sonata_in_D_mi...	38-84 (D2-C6)	Harpsichord	40-69 (E2-A4)	Harpsichord
	K002	{1: '3/8'}	{1: 1}	78	78	117.0	156	156	234.0	()	215.00	...	https://imslp.org/wiki/Special:ReverseLookup/3...	https://musescore.com/leandro15	https://www.wikidata.org/wiki/Q67199887	https://viaf.org/viaf/293775750/	https://musicbrainz.org/work/a973d150-3732-42c...	https://imslp.org/wiki/Keyboard_Sonata_in_G_ma...	55-81 (G3-A5)	Harpsichord	38-74 (D2-D5)	Harpsichord
	K003	{1: '2/2'}	{1: 0}	96	94	376.0	192	188	752.0	()	692.00	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q67199888	https://viaf.org/viaf/292516333/	https://musicbrainz.org/work/c8066208-1574-4d8...	https://imslp.org/wiki/Keyboard_Sonata_in_A_mi...	57-84 (A3-C6)	Harpsichord	36-64 (C2-E4)	Harpsichord
	K004	{1: '4/4'}	{1: -2}	41	39	156.0	82	78	312.0	()	359.50	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q67199889	https://viaf.org/viaf/292628173/	https://musicbrainz.org/work/7db8669e-717d-4a5...	https://imslp.org/wiki/Keyboard_Sonata_in_G_mi...	55-84 (G3-C6)	Harpsichord	38-70 (D2-Bb4)	Harpsichord
	K005	{1: '3/8'}	{1: -1}	90	90	135.0	180	180	270.0	()	309.25	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q74594868	https://viaf.org/viaf/293025261/	https://musicbrainz.org/work/7f08449b-45b3-406...	https://imslp.org/wiki/Keyboard_Sonata_in_D_mi...	50-84 (D3-C6)	Harpsichord	38-69 (D2-A4)	Harpsichord
	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
	K096	{1: '3/8'}	{1: 2}	211	211	316.5	422	422	633.0	()	928.50	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q67199923	https://viaf.org/viaf/181668778/	https://musicbrainz.org/work/be495691-1719-39e...	https://imslp.org/wiki/Keyboard_Sonata_in_D_ma...	52-86 (E3-D6)	Harpsichord	33-72 (A1-C5)	Harpsichord
	K097	{1: '3/8'}	{1: -2}	247	247	370.5	494	494	741.0	()	763.75	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q96373981	https://viaf.org/viaf/292389041/	https://musicbrainz.org/work/d0d92e6c-5605-435...	https://imslp.org/wiki/Keyboard_Sonata_in_G_mi...	51-87 (Eb3-Eb6)	Harpsichord	38-74 (D2-D5)	Harpsichord
	K098	{1: '3/8'}	{1: 1}	113	113	169.5	226	226	339.0	()	426.50	...	https://imslp.org/wiki/Special:ReverseLookup/3...	https://musescore.com/user/339551	https://www.wikidata.org/wiki/Q67199924	https://viaf.org/viaf/177261308/	https://musicbrainz.org/work/e8830311-b09e-486...	https://imslp.org/wiki/Keyboard_Sonata_in_E_mi...	54-84 (F#3-C6)	Harpsichord	38-73 (D2-C#5)	Harpsichord
	K099	{1: '3/4'}	{1: -3}	86	86	258.0	172	172	516.0	()	692.75	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q74594835	https://viaf.org/viaf/179274368/	https://musicbrainz.org/work/5afa216c-8efe-467...	https://imslp.org/wiki/Keyboard_Sonata_in_C_mi...	55-84 (G3-C6)	Harpsichord	36-84 (C2-C6)	Harpsichord
	K100	{1: '12/8'}	{1: 0}	50	50	300.0	100	100	600.0	()	709.00	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q67199925	https://viaf.org/viaf/292663647/	https://musicbrainz.org/work/2dd5e550-d27a-490...	https://imslp.org/wiki/Keyboard_Sonata_in_C_ma...	55-84 (G3-C6)	Harpsichord	36-84 (C2-C6)	Harpsichord

69 rows × 60 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
scarlatti_sonatas    1740.862319
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 1738 ('scarlatti_sonatas', 'K001') to 1749 ('scarlatti_sonatas', 'K098').

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()

Show source Hide source

summary = make_summary(all_metadata)
bar_data = pd.concat(
    [
        mean_composition_years.rename("year"),
        summary.groupby(level="corpus").size().rename("pieces"),
    ],
    axis=1,
).reset_index()

N = len(summary)
fig = px.bar(
    bar_data,
    x="year",
    y="pieces",
    color="corpus",
    color_discrete_map=corpus_colors,
    title=f"Temporal coverage of the {N} annotated pieces in the Distant Listening Corpus",
)
fig.update_traces(width=5)
fig.update_layout(**utils.STD_LAYOUT)
fig.update_traces(width=5)
save_figure_as(fig, "pieces_timeline_bars")
fig.show()

summary

		TimeSig	KeySig	last_mc	last_mn	length_qb	last_mc_unfolded	last_mn_unfolded	length_qb_unfolded	volta_mcs	all_notes_qb	...	pdf	typesetter	wikidata	viaf	musicbrainz	imslp	staff_1_ambitus	staff_1_instrument	staff_2_ambitus	staff_2_instrument
corpus	piece
scarlatti_sonatas	K001	{1: '4/4'}	{1: -1}	31	31	124.0	62	62	248.0	()	264.50	...	https://imslp.org/wiki/Special:ReverseLookup/3...	https://musescore.com/pongpob_c_	https://www.wikidata.org/wiki/Q6132112	https://viaf.org/viaf/178852701/	https://musicbrainz.org/work/4dad1f72-5f8d-3a6...	https://imslp.org/wiki/Keyboard_Sonata_in_D_mi...	38-84 (D2-C6)	Harpsichord	40-69 (E2-A4)	Harpsichord
	K002	{1: '3/8'}	{1: 1}	78	78	117.0	156	156	234.0	()	215.00	...	https://imslp.org/wiki/Special:ReverseLookup/3...	https://musescore.com/leandro15	https://www.wikidata.org/wiki/Q67199887	https://viaf.org/viaf/293775750/	https://musicbrainz.org/work/a973d150-3732-42c...	https://imslp.org/wiki/Keyboard_Sonata_in_G_ma...	55-81 (G3-A5)	Harpsichord	38-74 (D2-D5)	Harpsichord
	K003	{1: '2/2'}	{1: 0}	96	94	376.0	192	188	752.0	()	692.00	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q67199888	https://viaf.org/viaf/292516333/	https://musicbrainz.org/work/c8066208-1574-4d8...	https://imslp.org/wiki/Keyboard_Sonata_in_A_mi...	57-84 (A3-C6)	Harpsichord	36-64 (C2-E4)	Harpsichord
	K004	{1: '4/4'}	{1: -2}	41	39	156.0	82	78	312.0	()	359.50	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q67199889	https://viaf.org/viaf/292628173/	https://musicbrainz.org/work/7db8669e-717d-4a5...	https://imslp.org/wiki/Keyboard_Sonata_in_G_mi...	55-84 (G3-C6)	Harpsichord	38-70 (D2-Bb4)	Harpsichord
	K005	{1: '3/8'}	{1: -1}	90	90	135.0	180	180	270.0	()	309.25	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q74594868	https://viaf.org/viaf/293025261/	https://musicbrainz.org/work/7f08449b-45b3-406...	https://imslp.org/wiki/Keyboard_Sonata_in_D_mi...	50-84 (D3-C6)	Harpsichord	38-69 (D2-A4)	Harpsichord
	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
	K096	{1: '3/8'}	{1: 2}	211	211	316.5	422	422	633.0	()	928.50	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q67199923	https://viaf.org/viaf/181668778/	https://musicbrainz.org/work/be495691-1719-39e...	https://imslp.org/wiki/Keyboard_Sonata_in_D_ma...	52-86 (E3-D6)	Harpsichord	33-72 (A1-C5)	Harpsichord
	K097	{1: '3/8'}	{1: -2}	247	247	370.5	494	494	741.0	()	763.75	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q96373981	https://viaf.org/viaf/292389041/	https://musicbrainz.org/work/d0d92e6c-5605-435...	https://imslp.org/wiki/Keyboard_Sonata_in_G_mi...	51-87 (Eb3-Eb6)	Harpsichord	38-74 (D2-D5)	Harpsichord
	K098	{1: '3/8'}	{1: 1}	113	113	169.5	226	226	339.0	()	426.50	...	https://imslp.org/wiki/Special:ReverseLookup/3...	https://musescore.com/user/339551	https://www.wikidata.org/wiki/Q67199924	https://viaf.org/viaf/177261308/	https://musicbrainz.org/work/e8830311-b09e-486...	https://imslp.org/wiki/Keyboard_Sonata_in_E_mi...	54-84 (F#3-C6)	Harpsichord	38-73 (D2-C#5)	Harpsichord
	K099	{1: '3/4'}	{1: -3}	86	86	258.0	172	172	516.0	()	692.75	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q74594835	https://viaf.org/viaf/179274368/	https://musicbrainz.org/work/5afa216c-8efe-467...	https://imslp.org/wiki/Keyboard_Sonata_in_C_mi...	55-84 (G3-C6)	Harpsichord	36-84 (C2-C6)	Harpsichord
	K100	{1: '12/8'}	{1: 0}	50	50	300.0	100	100	600.0	()	709.00	...	https://imslp.org/wiki/Special:ReverseLookup/3...	Tom Schreyer	https://www.wikidata.org/wiki/Q67199925	https://viaf.org/viaf/292663647/	https://musicbrainz.org/work/2dd5e550-d27a-490...	https://imslp.org/wiki/Keyboard_Sonata_in_C_ma...	55-84 (G3-C6)	Harpsichord	36-84 (C2-C6)	Harpsichord

69 rows × 60 columns

Composition years histogram

Show source Hide source

hist_data = summary.reset_index()
hist_data.corpus = hist_data.corpus.map(corpus_names)
fig = px.histogram(
    hist_data,
    x="composed_end",
    color="corpus",
    labels=dict(
        composed_end="decade",
        count="pieces",
    ),
    color_discrete_map=corpus_name_colors,
    title=f"Temporal coverage of the {N} annotated pieces in the Distant Listening Corpus",
)
fig.update_traces(xbins=dict(size=10))
fig.update_layout(**utils.STD_LAYOUT)
fig.update_legends(font=dict(size=16))
save_figure_as(fig, "pieces_timeline_histogram", height=1250)
fig.show()

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
Sonata	69	5560	13706	64287	12490
sum	69	5560	13706	64287	12490

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 |
|:------------------|---------:|-----------:|---------:|--------:|---------:|
| scarlatti_sonatas |       69 |       5560 |    13706 |   64287 |    12490 |
| sum               |       69 |       5560 |    13706 |   64287 |    12490 |

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()

5581 measures over 69 files.

			mc	mn	quarterbeats	duration_qb	keysig	timesig	act_dur	mc_offset	numbering_offset	dont_count	barline	breaks	repeats	next	volta
corpus	piece	i
scarlatti_sonatas	K001	0	1	1	0	4.0	-1	4/4	1	0	<NA>	<NA>	<NA>	<NA>	firstMeasure	(2,)	<NA>
		1	2	2	4	4.0	-1	4/4	1	0	<NA>	<NA>	<NA>	<NA>	<NA>	(3,)	<NA>
		2	3	3	8	4.0	-1	4/4	1	0	<NA>	<NA>	<NA>	<NA>	<NA>	(4,)	<NA>
		3	4	4	12	4.0	-1	4/4	1	0	<NA>	<NA>	<NA>	<NA>	<NA>	(5,)	<NA>
		4	5	5	16	4.0	-1	4/4	1	0	<NA>	<NA>	<NA>	<NA>	<NA>	(6,)	<NA>

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	duration_qb	mc_onset	mn_onset	timesig	staff	voice	volta	...	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
scarlatti_sonatas	K001	0	1	1	0	1.5	0	0	4/4	2	1	<NA>	...	i	(m3, P5)	(m3, P5)	(1, 3, 5)	(1, 3, 5), minor	(1, b3, 5)	(1, 3, 5)	d	i	i
		1	1	1	3/2	0.5	3/8	3/8	4/4	2	1	<NA>	...	V	(M3, P5)	(M3, P5)	(5, #7, 2)	(5, #7, 2), minor	(5, 7, 2)	(5, #7, 2)	d	i	V
		2	1	1	2	1.5	1/2	1/2	4/4	2	1	<NA>	...	i	(m3, P5)	(m3, P5)	(1, 3, 5)	(1, 3, 5), minor	(1, b3, 5)	(1, 3, 5)	d	i	i
		3	1	1	7/2	0.5	7/8	7/8	4/4	2	1	<NA>	...	V	(M3, P5)	(M3, P5)	(5, #7, 2)	(5, #7, 2), minor	(5, 7, 2)	(5, #7, 2)	d	i	V
		4	2	2	4	1.5	0	0	4/4	2	1	<NA>	...	i	(m3, P5)	(m3, P5)	(1, 3, 5)	(1, 3, 5), minor	(1, b3, 5)	(1, 3, 5)	d	i	i

5 rows × 52 columns

Concatenated annotation tables contains 12245 rows.
3 of them are not chords. Their values are: {'ii%6(9)/i': 2, 'ii%/vi': 1}
Dataset contains 12242 tokens and 731 types over 69 documents.