Example: Probe Peaks

Load the files

[1]:

from opal import load_dataset, filetype

dsets = load_dataset('./peak/', ftype=filetype.PEAK)

Set the plotting style

[2]:

from opal.visualization.styles import load_style

load_style('jupyter')

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[2], line 3
      1 from opal.visualization.styles import load_style
----> 3 load_style('jupyter')

File ~/pyOPALTools/opal/visualization/styles/load_style.py:31, in load_style(use)
     29 from opal.utilities.logger import opal_logger
     30 opal_logger.info("Loading '" + use + "' plotting style")
---> 31 eval(use + '()')

File <string>:1

File ~/pyOPALTools/opal/visualization/styles/jupyter.py:31, in jupyter()
     29 # reset
     30 from opal.visualization.styles.default import default
---> 31 default()
     33 if mpl.__version__ < '2':
     34     opal_logger.error('jupyter style not available for matplotlib version ' + mpl.__version__)

File ~/pyOPALTools/opal/visualization/styles/default.py:38, in default()
     36 mpl.rcParams['lines.linestyle']         = '-'           # solid line
     37 mpl.rcParams['lines.color']             = 'C0'          # has no affect on plot(); see axes.prop_cycle
---> 38 mpl.rcParams['lines.marker']            = None          # the default marker
     39 mpl.rcParams['lines.markeredgewidth']   = 1.0           # the line width around the marker symbol
     40 mpl.rcParams['lines.markersize']        = 6             # markersize, in points

File /usr/local/lib/python3.8/dist-packages/matplotlib/__init__.py:722, in RcParams.__setitem__(self, key, val)
    720         cval = self.validate[key](val)
    721     except ValueError as ve:
--> 722         raise ValueError(f"Key {key}: {ve}") from None
    723     self._set(key, cval)
    724 except KeyError as err:

ValueError: Key lines.marker: Could not convert None to str

Do some plotting …

[3]:

plt = dsets[0].plot_peak_difference(dsets[1], grid=True)

plt.show()

[4]:

from opal import load_dataset, filetype

dsets = load_dataset('./peak/', ftype=filetype.HIST)

[5]:

plt = dsets[0].plot_probe_histogram(grid=True, scale=True)

dsets[1].plot_probe_histogram( grid=True, scale=True)

plt.show()

2024-09-26 23:06:00,515 - opal - ERROR - 'str' object cannot be interpreted as an integer
Traceback (most recent call last):
  File "/home/opalci/pyOPALTools/opal/visualization/ProbePlotter.py", line 64, in plot_probe_histogram
    radius = np.linspace(float(rmin), float(rmax), nbins)
  File "<__array_function__ internals>", line 200, in linspace
  File "/usr/local/lib/python3.8/dist-packages/numpy/core/function_base.py", line 121, in linspace
    num = operator.index(num)
TypeError: 'str' object cannot be interpreted as an integer

<Figure size 614.4x460.8 with 0 Axes>