Testing Plotting w/o Music21

These are tests to see what difference importing music21 does to the current Jupyter/Matplotlib/numpy installation

import matplotlib.pyplot as plt

plt.plot(range(10))

 [<matplotlib.lines.Line2D at 0x114572910>]

a = plt.plot(range(10))

a

 [<matplotlib.lines.Line2D at 0x1146be810>]

from matplotlib.figure import Figure

fig = Figure()

fig

 <Figure size 640x480 with 0 Axes>

ax = fig.add_subplot()

fig  # note that this would not show anything unless we had already done plt.plot()

repr(fig)

 '<Figure size 640x480 with 1 Axes>'

from IPython import get_ipython  # as shell

shell = get_ipython()

formatter = shell.display_formatter
formatter

 <IPython.core.formatters.DisplayFormatter at 0x10f857090>

png_formatter = formatter.formatters['image/png']
png_formatter

 <IPython.core.formatters.PNGFormatter at 0x11459b850>

dir(png_formatter)

 ['__annotations__',
  '__call__',
  '__class__',
  '__contains__',
  '__delattr__',
  '__dict__',
  '__dir__',
  '__doc__',
  '__eq__',
  '__format__',
  '__ge__',
  '__getattribute__',
  '__getstate__',
  '__gt__',
  '__hash__',
  '__init__',
  '__init_subclass__',
  '__le__',
  '__lt__',
  '__module__',
  '__ne__',
  '__new__',
  '__reduce__',
  '__reduce_ex__',
  '__repr__',
  '__setattr__',
  '__setstate__',
  '__sizeof__',
  '__str__',
  '__subclasshook__',
  '__weakref__',
  '_add_notifiers',
  '_all_trait_default_generators',
  '_check_return',
  '_config_changed',
  '_cross_validation_lock',
  '_defining_class',
  '_descriptors',
  '_find_my_config',
  '_get_trait_default_generator',
  '_in_deferred_types',
  '_instance_inits',
  '_load_config',
  '_notify_observers',
  '_notify_trait',
  '_register_validator',
  '_remove_notifiers',
  '_return_type',
  '_static_immutable_initial_values',
  '_trait_default_generators',
  '_trait_notifiers',
  '_trait_validators',
  '_trait_values',
  '_traits',
  'add_traits',
  'class_config_rst_doc',
  'class_config_section',
  'class_get_help',
  'class_get_trait_help',
  'class_own_trait_events',
  'class_own_traits',
  'class_print_help',
  'class_trait_names',
  'class_traits',
  'config',
  'cross_validation_lock',
  'deferred_printers',
  'enabled',
  'for_type',
  'for_type_by_name',
  'format_type',
  'has_trait',
  'hold_trait_notifications',
  'lookup',
  'lookup_by_type',
  'notify_change',
  'observe',
  'on_trait_change',
  'parent',
  'pop',
  'print_method',
  'section_names',
  'set_trait',
  'setup_instance',
  'singleton_printers',
  'trait_defaults',
  'trait_events',
  'trait_has_value',
  'trait_metadata',
  'trait_names',
  'trait_values',
  'traits',
  'type_printers',
  'unobserve',
  'unobserve_all',
  'update_config']

png_formatter.type_printers

 {matplotlib.figure.Figure: functools.partial(<function print_figure at 0x10f432480>, fmt='png', base64=True, bbox_inches='tight')}

fig.canvas

 <matplotlib.backend_bases.FigureCanvasBase at 0x1146f6150>

fig.canvas.print_figure

 <bound method FigureCanvasBase.print_figure of <matplotlib.backend_bases.FigureCanvasBase object at 0x1146f6150>>

#  x = fig.canvas.print_figure('asdf')  # will write out a file called asdf.png
#  x is None