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marineheatwaves_faster.yml
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executable file
·299 lines (264 loc) · 8.96 KB
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global:
name: 'MarineHeatWaves_f'
title: 'MarineHeatWaves_f'
output_path: 'output/MHW'
bpm: 120.
#Notes per beat is actually "years per musical beat".
# with weekly L4 data, want 2 data points per chord, or about
beats_per_year: &beats_per_year_anchor 4
notes_per_beat: ¬es_per_beat_anchor 1
beats_per_chord: &beats_per_chord_anchor 0.5
quantize: &quantize_anchor 'semi-quaver'
# graphical options:
image_res: '4K' # 4K: 2840 x 2160
frame_rate: 30
plot_every: 1
video_timerange: [2000., 2020.99999]
scroll: 0.
annual_plot: True
final_note_duration: 4
hold_last_frame: False # best to have too long than too short here!
#background_colour: '#F0FFFF' # Azure (very white)
#background_image: 'input/background_4K.png'
#background_image: 'input/background.png'
text_color: 'black'
#'#43b3ae' # verdigris (very grey)
# '#c9ffe5' # Aero Blue )too bright)
# # '#D3D3D3' # light grey (boring grey)
xlabel: ' '
legend_loc: 'upper right'
show_raw_data: True
chyron_text: [
]
# Note that VST's don't use python numbering.
# Ie python: 1 is actually MIDI: 2
# If you want channel to use channel 1, set the value to 0.
# should probably swap around the runs so that violins have SPP585.
tracks:
cnrm_temp:
longname: 'Temperture'
channel: 0
units: r'$\degree$C'
beats_per_year: *beats_per_year_anchor
notes_per_beat: *notes_per_beat_anchor
beats_per_chord: *beats_per_chord_anchor
quantize: *quantize_anchor
scales: &scales_anchor [ # Britneyspears - hit me baby one more time.
'Cmin', 'Cmin', 'Cmin', 'Cmin', 'Cmin', 'Cmin', 'Cmin', 'Gmaj',
'Gmaj', 'Gmaj', 'Gmaj', 'Gmaj', 'Gmaj', 'Gmaj', 'Dmaj', 'Dmaj',
'Ebmin', 'Ebmin', 'Ebmin', 'Ebmin', 'Ebmin', 'Ebmin', 'Ebmin', 'Ebmin',
'Fmaj', 'Fmaj', 'Fmaj', 'Fmaj', 'Gmaj', 'Bbmin', 'C5', 'C5',
]
play_new_chords: True
data_paths: ['csv/CNRM_thetao_con.csv', ]
volume_paths: ['csv/CNRM_thetao_con.csv', ]
time_range: [1976., 2070.99999]
# type options [ shelve, nc, csv]
data_type: 'csv'
data_key: 'thetao_con'
data_kwargs: []
instrument: 'Piano'
music_range: [67, 102]
# data range: set min/max data range to match music range
data_range: [22., 33.]
plot_range: [22., 33.]
moving_average: '0.5 years'
volume_range: [60, 110]
colour: '#87CEFA' # 'light blue'
pane: 1
y_label: ' '
cnrm_temp_bass:
longname: 'Temperture - Bass'
channel: 0
units: r'$\degree$C'
beats_per_year: *beats_per_year_anchor
notes_per_beat: *notes_per_beat_anchor
beats_per_chord: *beats_per_chord_anchor
quantize: *quantize_anchor
scales: *scales_anchor
play_new_chords: True
data_paths: ['csv/CNRM_thetao_con.csv', ]
volume_paths: ['csv/CNRM_thetao_con.csv', ]
time_range: [1976., 2070.99999]
# type options [ shelve, nc, csv]
data_type: 'csv'
data_key: 'thetao_con'
data_kwargs: []
instrument: 'bass'
music_range: [41, 67]
# data range: set min/max data range to match music range
data_range: [22., 33.]
plot_range: [22., 33.]
moving_average: '0.2 years'
volume_range: [60, 110]
colour: '#87CEFA' # 'light blue'
pane: 1
y_label: ' '
cnrm_temp_anom:
longname: 'Tempertare anomaly'
channel: 0
units: r'$\degree$C'
beats_per_year: *beats_per_year_anchor
notes_per_beat: *notes_per_beat_anchor
beats_per_chord: *beats_per_chord_anchor
quantize: *quantize_anchor
scales: *scales_anchor
play_new_chords: True
data_paths: ['csv/CNRM_thetao_con_anomaly.csv', ]
volume_paths: ['csv/CNRM_thetao_con_anomaly.csv', ]
time_range: [1976., 2070.99999]
# type options [ shelve, nc, csv]
data_type: 'csv'
data_key: 'thetao_con_anom'
data_kwargs: []
instrument: 'Piano'
music_range: [67, 102]
# blank means
data_range: [-1., 4.]
plot_range: [-1., 4.]
moving_average: '0.05 years'
volume_range: [60, 110]
# Plotting details
colour: '#87CEFA' # 'light blue'
pane: 1
y_label: ' ' #Nitrate, uM'
cnrm_temp_anom:
longname: 'Tempertare anomaly'
channel: 0
units: r'$\degree$C'
beats_per_year: *beats_per_year_anchor
notes_per_beat: *notes_per_beat_anchor
beats_per_chord: *beats_per_chord_anchor
quantize: *quantize_anchor
scales: *scales_anchor
play_new_chords: True
data_paths: ['csv/CNRM_thetao_con_anomaly.csv', ]
volume_paths: ['csv/CNRM_thetao_con_anomaly.csv', ]
time_range: [1976., 2070.99999]
# type options [ shelve, nc, csv]
data_type: 'csv'
data_key: 'thetao_con_anom'
data_kwargs: []
instrument: 'Piano'
music_range: [67, 102]
# blank means
data_range: [-1., 4.]
plot_range: [-1., 4.]
moving_average: '0.05 years'
volume_range: [60, 110]
# Plotting details
colour: '#87CEFA' # 'light blue'
pane: 1
y_label: ' ' #Nitrate, uM'
pH_result:
longname: 'pH'
channel: 0
units: ''
beats_per_year: *beats_per_year_anchor
notes_per_beat: *notes_per_beat_anchor
beats_per_chord: *beats_per_chord_anchor
quantize: *quantize_anchor
scales: *scales_anchor
play_new_chords: True
data_paths: ['csv/CNRM_O3_pH.csv', ]
volume_paths: ['csv/CNRM_O3_pH.csv', ]
time_range: [1976., 2070.99999]
# type options [ shelve, nc, csv]
data_type: 'csv'
data_key: 'thetao_con_anom'
data_kwargs: []
instrument: 'Piano'
music_range: [67, 102]
# blank means
data_range: [7.8, 8.3]
plot_range: [7.8, 8.3]
moving_average: '2 years'
volume_range: [100, 110]
# Plotting details
colour: '#87CEFA' # 'light blue'
pane: 1
y_label: ' ' #Nitrate, uM'
pH_anom:
longname: 'pH'
channel: 0
units: ''
beats_per_year: *beats_per_year_anchor
notes_per_beat: *notes_per_beat_anchor
beats_per_chord: *beats_per_chord_anchor
quantize: *quantize_anchor
scales: *scales_anchor
play_new_chords: True
data_paths: ['csv/CNRM_O3_pH_anomaly.csv', ]
volume_paths: ['csv/CNRM_O3_pH_anomaly.csv', ]
time_range: [1976., 2070.99999]
# type options [ shelve, nc, csv]
data_type: 'csv'
data_key: 'thetao_con_anom'
data_kwargs: []
instrument: 'Piano'
music_range: [67, 102]
# blank means
data_range: [7.8, 8.3]
plot_range: [7.8, 8.3]
moving_average: '0.5 years'
volume_range: [100, 110]
# Plotting details
colour: '#87CEFA' # 'light blue'
pane: 1
y_label: ' ' #Nitrate, uM'
Ptot_c_result:
longname: 'Phytoplankton'
channel: 0
units: ''
beats_per_year: *beats_per_year_anchor
notes_per_beat: *notes_per_beat_anchor
beats_per_chord: *beats_per_chord_anchor
quantize: *quantize_anchor
scales: *scales_anchor
play_new_chords: True
data_paths: ['csv/CNRM_Ptot_c_result.csv', ]
volume_paths: ['csv/CNRM_Ptot_c_result_anomaly.csv', ]
time_range: [1976., 2070.99999]
# type options [ shelve, nc, csv]
data_type: 'csv'
data_key: 'thetao_con_anom'
data_kwargs: []
instrument: 'Piano'
music_range: [67, 102]
# blank means
data_range: [0., 42.]
plot_range: [0., 42.]
moving_average: '0.05 years'
volume_range: [60, 110]
# Plotting details
colour: '#87CEFA' # 'light blue'
pane: 1
y_label: ' ' #Nitrate, uM'
Ztot_c_result:
longname: 'Zooplankton'
channel: 0
units: ''
beats_per_year: *beats_per_year_anchor
notes_per_beat: *notes_per_beat_anchor
beats_per_chord: *beats_per_chord_anchor
quantize: *quantize_anchor
scales: *scales_anchor
play_new_chords: True
data_paths: ['csv/CNRM_Ztot_c_result.csv', ]
volume_paths: ['csv/CNRM_Ztot_c_result_anomaly.csv', ]
time_range: [1976., 2070.99999]
# type options [ shelve, nc, csv]
data_type: 'csv'
data_key: 'thetao_con_anom'
data_kwargs: []
instrument: 'Piano'
music_range: [67, 102]
# blank means
data_range: [0., 30.]
plot_range: [0., 30.]
moving_average: '0.05 years'
volume_range: [60, 110]
# Plotting details
colour: '#87CEFA' # 'light blue'
pane: 1
y_label: ' ' #Nitrate, uM'