marineheatwaves_clim.yml

# roughly: 100 years of data:
# want 240 second song.
# 
# each year is 2.5 seconds
# at 120 bpm, 2.5 seconds is 5 beats
# 16 beat repeat is 
global:
    name: 'MarineHeatWaves_clim'
    title: 'MarineHeatWaves_clim'
    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 8 
    notes_per_beat: &notes_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: 0.25
    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: 'Tempertare anomaly'
      # longname: 'SSP1 1.9 - Violin'
      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.
        'Cmaj', 'Cmaj', 'Cmaj', 'Cmaj', 'Cmaj', 'Cmaj', 'Cmaj', 'Gmaj', 
        'Gmaj', 'Gmaj', 'Gmaj', 'Gmaj', 'Gmaj', 'Gmaj', 'Dmaj', 'Dmaj',
        'Ebmin', 'Ebmin', 'Ebmin', 'Ebmin', 'Ebmin', 'Ebmin',  'Ebmin', 'Ebmin',
        'Fmaj', 'Fmaj', 'Fmaj', 'Fmaj', 'Gmaj', 'Bbmaj', 'Cmaj', 'Cmaj',
      ]
      play_new_chords: True
      data_paths: ['csv/CNRM_thetao_con_clim_4.csv', ]
      volume_paths:  ['csv/CNRM_thetao_con_clim_4.csv', ]
      time_range: [0., 1.99999]
      # type options [ shelve, nc, csv]
      data_type: 'csv'
      data_key:  'thetao_con_clim'
      data_kwargs: []
      instrument: 'Bass'
      music_range: [41, 67]

      # data range: set min/max data range to match music range
      # blank means
      data_range: [22., 33.]
      plot_range: [22., 33.]
        
      moving_average: '0.1 years'
      volume_range: [60, 110]
      # Plotting details
      colour: '#87CEFA' # 'light blue'
      pane: 1
      y_label: ' ' #Nitrate, uM'