Overview#

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

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("dvorak_silhouettes", corpus_release="v2.3")
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("Antonín Dvořák – Silhouettes version v2.3")
print(f"Datapackage '{package.package_name}' @ {git_tag}")
print(f"dimcat version {dc.__version__}\n")
D

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

Antonín Dvořák – Silhouettes version v2.3
Datapackage 'dvorak_silhouettes' @ v2.3
dimcat version 3.4.0

Dataset
=======
{'inputs': {'basepath': None,
            'packages': {'dvorak_silhouettes': ["'dvorak_silhouettes.measures' (MuseScoreFacetName.MuseScoreMeasures)",
                                                "'dvorak_silhouettes.notes' (MuseScoreFacetName.MuseScoreNotes)",
                                                "'dvorak_silhouettes.expanded' (MuseScoreFacetName.MuseScoreHarmonies)",
                                                "'dvorak_silhouettes.chords' (MuseScoreFacetName.MuseScoreChords)",
                                                "'dvorak_silhouettes.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 ... viaf musicbrainz wikidata originalFormat pdf score integrity staff_1_ambitus staff_1_instrument staff_2_ambitus staff_2_instrument
corpus piece
dvorak_silhouettes op08n01 {1: '6/8'} {1: 4, 7: -5, 49: 4} 54 52 156.5 54 52 156.5 () 658.75 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/80bb714e-a36a-425... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 56-92 (G#3-Ab6) Piano 32-68 (G#1-G#4) Piano
op08n02 {1: '4/4'} {1: -5} 15 15 63.5 15 15 63.5 () 278.75 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/367afd55-c501-478... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 48-82 (C3-Bb5) Piano 25-66 (Db1-Gb4) Piano
op08n03 {1: '2/4'} {1: -5} 72 72 144.0 72 72 144.0 () 553.25 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/d81bb13f-ba60-474... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 61-85 (Db4-Db6) Piano 32-70 (Ab1-Bb4) Piano
op08n04 {1: '3/4'} {1: 3} 59 59 177.0 59 59 177.0 () 567.50 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/b58b8047-986d-4ba... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 56-91 (G#3-G6) Piano 30-69 (F#1-A4) Piano
op08n05 {1: '3/4'} {1: 3} 81 80 241.0 81 80 241.0 () 1037.00 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/dde1943a-4331-49f... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 53-80 (E#3-G#5) Piano 30-82 (F#1-A#5) Piano
op08n06 {1: '6/8'} {1: -2} 60 60 180.0 60 60 180.0 () 766.87 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/5b483649-5da3-449... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 50-96 (D3-C7) Piano 27-71 (Eb1-B4) Piano
op08n07 {1: '6/8'} {1: 2} 38 38 114.0 38 38 114.0 () 425.50 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/e00b53c3-c7f3-4d8... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 47-95 (B2-B6) Piano 26-83 (D1-B5) Piano
op08n08 {1: '2/4'} {1: 2} 57 57 114.0 57 57 114.0 () 392.65 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/bdf8779b-eb4a-41b... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 49-90 (C#3-F#6) Piano 30-76 (F#1-E5) Piano
op08n09 {1: '2/4'} {1: 5} 61 61 122.0 61 61 122.0 () 395.50 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/9dcd73e1-e27b-47b... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 51-78 (D#3-F#5) Piano 23-63 (B0-D#4) Piano
op08n10 {1: '6/8'} {1: 1} 58 58 174.0 58 58 174.0 () 766.00 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/277fc597-9c0b-44d... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 51-93 (D#3-A6) Piano 35-81 (B1-A5) Piano
op08n11 {1: '3/4'} {1: 3} 44 44 132.0 44 44 132.0 () 485.25 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/0dab8a7c-6041-46c... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 64-97 (E4-C#7) Piano 33-81 (A1-A5) Piano
op08n12 {1: '6/8'} {1: 4, 33: -4, 48: 4} 79 78 234.5 79 78 234.5 () 664.50 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/a9d5e5d8-a9b4-4e5... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 44-96 (G#2-B#6) Piano 31-80 (F##1-G#5) Piano

12 rows × 56 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
dvorak_silhouettes    1877.0
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 1875 ('dvorak_silhouettes', 'op08n01') to 1879 ('dvorak_silhouettes', 'op08n01').

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()
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 ... viaf musicbrainz wikidata originalFormat pdf score integrity staff_1_ambitus staff_1_instrument staff_2_ambitus staff_2_instrument
corpus piece
dvorak_silhouettes op08n01 {1: '6/8'} {1: 4, 7: -5, 49: 4} 54 52 156.5 54 52 156.5 () 658.75 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/80bb714e-a36a-425... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 56-92 (G#3-Ab6) Piano 32-68 (G#1-G#4) Piano
op08n02 {1: '4/4'} {1: -5} 15 15 63.5 15 15 63.5 () 278.75 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/367afd55-c501-478... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 48-82 (C3-Bb5) Piano 25-66 (Db1-Gb4) Piano
op08n03 {1: '2/4'} {1: -5} 72 72 144.0 72 72 144.0 () 553.25 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/d81bb13f-ba60-474... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 61-85 (Db4-Db6) Piano 32-70 (Ab1-Bb4) Piano
op08n04 {1: '3/4'} {1: 3} 59 59 177.0 59 59 177.0 () 567.50 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/b58b8047-986d-4ba... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 56-91 (G#3-G6) Piano 30-69 (F#1-A4) Piano
op08n05 {1: '3/4'} {1: 3} 81 80 241.0 81 80 241.0 () 1037.00 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/dde1943a-4331-49f... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 53-80 (E#3-G#5) Piano 30-82 (F#1-A#5) Piano
op08n06 {1: '6/8'} {1: -2} 60 60 180.0 60 60 180.0 () 766.87 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/5b483649-5da3-449... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 50-96 (D3-C7) Piano 27-71 (Eb1-B4) Piano
op08n07 {1: '6/8'} {1: 2} 38 38 114.0 38 38 114.0 () 425.50 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/e00b53c3-c7f3-4d8... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 47-95 (B2-B6) Piano 26-83 (D1-B5) Piano
op08n08 {1: '2/4'} {1: 2} 57 57 114.0 57 57 114.0 () 392.65 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/bdf8779b-eb4a-41b... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 49-90 (C#3-F#6) Piano 30-76 (F#1-E5) Piano
op08n09 {1: '2/4'} {1: 5} 61 61 122.0 61 61 122.0 () 395.50 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/9dcd73e1-e27b-47b... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 51-78 (D#3-F#5) Piano 23-63 (B0-D#4) Piano
op08n10 {1: '6/8'} {1: 1} 58 58 174.0 58 58 174.0 () 766.00 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/277fc597-9c0b-44d... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 51-93 (D#3-A6) Piano 35-81 (B1-A5) Piano
op08n11 {1: '3/4'} {1: 3} 44 44 132.0 44 44 132.0 () 485.25 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/0dab8a7c-6041-46c... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 64-97 (E4-C#7) Piano 33-81 (A1-A5) Piano
op08n12 {1: '6/8'} {1: 4, 33: -4, 48: 4} 79 78 234.5 79 78 234.5 () 664.50 ... https://viaf.org/viaf/174794325/ https://musicbrainz.org/work/a9d5e5d8-a9b4-4e5... <NA> xml https://imslp.org/wiki/Special:ReverseLookup/5... Tom Schreyer 44-96 (G#2-B#6) Piano 31-80 (F##1-G#5) Piano

12 rows × 56 columns

Composition years histogram#

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
Silhouettes 12 674 1852 10105 1539
sum 12 674 1852 10105 1539 
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 |
|:-------------------|---------:|-----------:|---------:|--------:|---------:|
| dvorak_silhouettes |       12 |        674 |     1852 |   10105 |     1539 |
| sum                |       12 |        674 |     1852 |   10105 |     1539 |

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()

678 measures over 12 files.
mc mn quarterbeats duration_qb keysig timesig act_dur mc_offset numbering_offset dont_count barline breaks repeats next
corpus piece i
dvorak_silhouettes op08n01 0 1 0 0 0.5 4 6/8 1/8 5/8 <NA> 1 <NA> <NA> firstMeasure (2,)
1 2 1 1/2 3.0 4 6/8 3/4 0 <NA> <NA> <NA> <NA> <NA> (3,)
2 3 2 7/2 3.0 4 6/8 3/4 0 <NA> <NA> <NA> <NA> <NA> (4,)
3 4 3 13/2 3.0 4 6/8 3/4 0 <NA> <NA> <NA> line <NA> (5,)
4 5 4 19/2 3.0 4 6/8 3/4 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
dvorak_silhouettes op08n01 0 1 0 0 0 5.0 0 5/8 6/8 2 1 ... i (m3, P5) (m3, P5) (1, 3, 5) (1, 3, 5), minor (1, b3, 5) (1, 3, 5) c# i i
1 3 2 5 5 1.5 3/8 3/8 6/8 2 1 ... III (M3, P5, m7) (M3, P5, m7) (7, 2, 4, 6) (7, 2, 4, 6), minor (b7, 2, 4, b6) (7, 2, 4, 6) c# i V7/III
2 4 3 13/2 13/2 1.5 0 0 6/8 2 1 ... III (M3, P5) (M3, P5) (3, 5, 7) (3, 5, 7), minor (b3, 5, b7) (3, 5, 7) c# i III
3 4 3 8 8 1.0 3/8 3/8 6/8 2 1 ... ii (m3, M6) (m3, d5) (4, 6, 2) (4, 6, 2), minor (4, b6, 2) (4, 6, 2) c# i iio6(9)
4 4 3 9 9 0.5 5/8 5/8 6/8 2 1 ... ii (m3, M6) (m3, d5) (4, 6, 2) (4, 6, 2), minor (4, b6, 2) (4, 6, 2) c# i iio6

5 rows × 52 columns

Concatenated annotation tables contains 1526 rows.
Dataset contains 1526 tokens and 177 types over 12 documents.