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PdosPlot

[1]:
import sisl
import sisl.viz.plotly
# This is just for convenience to retreive files
siesta_files = sisl._environ.get_environ_variable("SISL_FILES_TESTS") / "sisl" / "io" / "siesta"

We are going to get the PDOS from a SIESTA .PDOS file, but we could get it from a hamiltonian as well.

[2]:
plot = sisl.get_sile(siesta_files / "SrTiO3.PDOS").plot(Erange=[-10,10])
info:0: SislInfo:

The plot has been initialized correctly, but the current settings were not enough to generate the figure.
Error: Could not read or generate data for PdosPlot from any of the possible sources.
Here are the errors for each source:
        - TB trans: TypeError.expected str, bytes or os.PathLike object, not NoneType
        - hamiltonian: TypeError.expected str, bytes or os.PathLike object, not NoneType
        - siesta output: FileNotFoundError.[Errno 2] No such file or directory: '_THIS_DIRECTORY_DOES_NOT_EXIST_/sisl/io/siesta/SrTiO3.PDOS'

By default, a PDOS plot shows the total density of states:

[3]:
plot

PDOS requests

There’s a very important setting in the PdosPlot: requests. This setting expects a list of PDOS requests, where each request is a dictionary that can specify - species - atoms - orbitals (the orbital name) - n, l, m (the quantum numbers) - Z (the Z shell of the orbital) - spin

involved in the PDOS line that you want to draw. Apart from that, a request also accepts the name, color, linewidth and dash keys that manage the aesthetics of the line and normalize, which indicates if the PDOS should be normalized (divided by number of orbitals).

Here is an example of how to use the requests setting to create a line that displays the Oxygen 2p PDOS:

[4]:
plot.update_settings(requests=[{"name": "My first PDOS (Oxygen)", "species": ["O"], "n": 2, "l": 1}])
# or (it's equivalent)
plot.update_settings(requests=[{
    "name": "My first PDOS (Oxygen)", "species": ["O"],
    "orbitals": ["2pzZ1", "2pzZ2", "2pxZ1", "2pxZ2", "2pyZ1", "2pyZ2"]
}])
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_4610/1701002284.py in <module>
----> 1 plot.update_settings(requests=[{"name": "My first PDOS (Oxygen)", "species": ["O"], "n": 2, "l": 1}])
      2 # or (it's equivalent)
      3 plot.update_settings(requests=[{
      4     "name": "My first PDOS (Oxygen)", "species": ["O"],
      5     "orbitals": ["2pzZ1", "2pzZ2", "2pxZ1", "2pxZ2", "2pyZ1", "2pyZ2"]

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in update_settings(self, *args, **kwargs)
    419             # the available kwargs for the plot class and provide more help to the user
    420             def update_settings(self, *args, **kwargs):
--> 421                 return self._update_settings(*args, **kwargs)
    422
    423             update_settings.__doc__ = f"Updates the settings of this plot.\n\nDocs for {new_cls.__name__}:\n\n{get_configurable_docstring(new_cls)}"

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in _update_settings(self, run_updates, **kwargs)
    554             #Do things after updating the settings
    555             if len(self.settings_history.last_updated) > 0 and run_updates:
--> 556                 self._run_updates(self.settings_history.last_updated)
    557
    558         return self

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in _run_updates(self, for_keys)
    582         # Execute the functions that we need to execute.
    583         for f_name in func_names:
--> 584             getattr(self, f_name)()
    585
    586         return self

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plotutils.py in apply_to_all_plots(obj, childs_sel, *args, **kwargs)
    817         else:
    818
--> 819             return method(obj, *args, **kwargs)
    820
    821     return apply_to_all_plots

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in func(obj, *args, **kwargs)
    881             def func(obj, *args, **kwargs):
    882                 getattr(obj, method_name)(**kwargs, **extra_kwargs)
--> 883                 return method(obj, *args, **kwargs)
    884
    885         elif when == 'after':

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plot.py in set_data(self, update_fig, **kwargs)
   1126         self._starting_traces = len(self.data)
   1127
-> 1128         self._set_data()
   1129
   1130         if update_fig:

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in f_default_setting_args(self, *args, **kwargs)
    962                     pass
    963
--> 964         return f(self, *args, **kwargs)
    965
    966     return f_default_setting_args

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in _set_data(self, requests, E0, Erange)
    364
    365         #Get only the part of the arra
--> 366         E_PDOS = self.PDOS.where(
    367             (self.PDOS.E > Emin) & (self.PDOS.E < Emax), drop=True)
    368

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plot.py in __getattr__(self, key)
    734                 pass
    735
--> 736         raise AttributeError(f"The attribute '{key}' was not found either in the plot, its figure, or in shared attributes.")
    737
    738     def __setattr__(self, key, val):

AttributeError: The attribute 'PDOS' was not found either in the plot, its figure, or in shared attributes.

And now we are going to create three lines, one for each species

[5]:
plot.update_settings(requests=[
    {"name": "Oxygen", "species": ["O"], "color": "darkred", "dash": "dash", "normalize": True},
    {"name": "Titanium", "species": ["Ti"], "color": "grey", "linewidth": 3, "normalize": True},
    {"name": "Sr", "species": ["Sr"], "color": "green", "normalize": True},
], Erange=[-5, 5])
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/tmp/ipykernel_4610/4228651768.py in <module>
----> 1 plot.update_settings(requests=[
      2     {"name": "Oxygen", "species": ["O"], "color": "darkred", "dash": "dash", "normalize": True},
      3     {"name": "Titanium", "species": ["Ti"], "color": "grey", "linewidth": 3, "normalize": True},
      4     {"name": "Sr", "species": ["Sr"], "color": "green", "normalize": True},
      5 ], Erange=[-5, 5])

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in update_settings(self, *args, **kwargs)
    419             # the available kwargs for the plot class and provide more help to the user
    420             def update_settings(self, *args, **kwargs):
--> 421                 return self._update_settings(*args, **kwargs)
    422
    423             update_settings.__doc__ = f"Updates the settings of this plot.\n\nDocs for {new_cls.__name__}:\n\n{get_configurable_docstring(new_cls)}"

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in _update_settings(self, run_updates, **kwargs)
    554             #Do things after updating the settings
    555             if len(self.settings_history.last_updated) > 0 and run_updates:
--> 556                 self._run_updates(self.settings_history.last_updated)
    557
    558         return self

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in _run_updates(self, for_keys)
    582         # Execute the functions that we need to execute.
    583         for f_name in func_names:
--> 584             getattr(self, f_name)()
    585
    586         return self

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plotutils.py in apply_to_all_plots(obj, childs_sel, *args, **kwargs)
    817         else:
    818
--> 819             return method(obj, *args, **kwargs)
    820
    821     return apply_to_all_plots

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in func(obj, *args, **kwargs)
    881             def func(obj, *args, **kwargs):
    882                 getattr(obj, method_name)(**kwargs, **extra_kwargs)
--> 883                 return method(obj, *args, **kwargs)
    884
    885         elif when == 'after':

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plot.py in read_data(self, update_fig, **kwargs)
    784
    785         # We try to read from the different entry points available
--> 786         self._read_from_sources()
    787
    788         # We don't update the last dataread here in case there has been a succesful data read because we want to

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plot.py in _read_from_sources(self)
    825         else:
    826             self.source = None
--> 827             raise ValueError("Could not read or generate data for {} from any of the possible sources.\nHere are the errors for each source:\n{}"
    828                              .format(self.__class__.__name__, "\n".join(errors)))
    829

ValueError: Could not read or generate data for PdosPlot from any of the possible sources.
Here are the errors for each source:
        - TB trans: TypeError.expected str, bytes or os.PathLike object, not NoneType
        - hamiltonian: TypeError.expected str, bytes or os.PathLike object, not NoneType
        - siesta output: FileNotFoundError.[Errno 2] No such file or directory: '_THIS_DIRECTORY_DOES_NOT_EXIST_/sisl/io/siesta/SrTiO3.PDOS'

It’s interesting to note that the atoms key of each request accepts the same possibilities as the atoms argument of the Geometry methods. Therefore, you can use indices, categories, dictionaries, strings…

For example:

[6]:
# Let's import the AtomZ and AtomOdd categories just to play with them
from sisl.geom import AtomZ, AtomOdd

plot.update_settings(requests=[
    {"atoms": [0,1], "name": "Atoms 0 and 1"},
    {"atoms": {"Z": 8}, "name": "Atoms with Z=8"},
    {"atoms": AtomZ(8) & ~ AtomOdd(), "name": "Oxygens with even indices"}
])
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_4610/2426909493.py in <module>
      2 from sisl.geom import AtomZ, AtomOdd
      3
----> 4 plot.update_settings(requests=[
      5     {"atoms": [0,1], "name": "Atoms 0 and 1"},
      6     {"atoms": {"Z": 8}, "name": "Atoms with Z=8"},

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in update_settings(self, *args, **kwargs)
    419             # the available kwargs for the plot class and provide more help to the user
    420             def update_settings(self, *args, **kwargs):
--> 421                 return self._update_settings(*args, **kwargs)
    422
    423             update_settings.__doc__ = f"Updates the settings of this plot.\n\nDocs for {new_cls.__name__}:\n\n{get_configurable_docstring(new_cls)}"

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in _update_settings(self, run_updates, **kwargs)
    554             #Do things after updating the settings
    555             if len(self.settings_history.last_updated) > 0 and run_updates:
--> 556                 self._run_updates(self.settings_history.last_updated)
    557
    558         return self

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in _run_updates(self, for_keys)
    582         # Execute the functions that we need to execute.
    583         for f_name in func_names:
--> 584             getattr(self, f_name)()
    585
    586         return self

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plotutils.py in apply_to_all_plots(obj, childs_sel, *args, **kwargs)
    817         else:
    818
--> 819             return method(obj, *args, **kwargs)
    820
    821     return apply_to_all_plots

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in func(obj, *args, **kwargs)
    881             def func(obj, *args, **kwargs):
    882                 getattr(obj, method_name)(**kwargs, **extra_kwargs)
--> 883                 return method(obj, *args, **kwargs)
    884
    885         elif when == 'after':

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plot.py in set_data(self, update_fig, **kwargs)
   1126         self._starting_traces = len(self.data)
   1127
-> 1128         self._set_data()
   1129
   1130         if update_fig:

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in f_default_setting_args(self, *args, **kwargs)
    962                     pass
    963
--> 964         return f(self, *args, **kwargs)
    965
    966     return f_default_setting_args

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in _set_data(self, requests, E0, Erange)
    364
    365         #Get only the part of the arra
--> 366         E_PDOS = self.PDOS.where(
    367             (self.PDOS.E > Emin) & (self.PDOS.E < Emax), drop=True)
    368

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plot.py in __getattr__(self, key)
    734                 pass
    735
--> 736         raise AttributeError(f"The attribute '{key}' was not found either in the plot, its figure, or in shared attributes.")
    737
    738     def __setattr__(self, key, val):

AttributeError: The attribute 'PDOS' was not found either in the plot, its figure, or in shared attributes.

Easy and fast DOS splitting

As you might have noticed, sometimes it might be cumbersome to build all the requests you want. If your needs are simple and you don’t need the flexibility of defining every parameter by yourself, there is a set of methods that will help you explore your PDOS data faster than ever before. These are: split_DOS, split_requests, update_requests, remove_requests and add_requests.?

Let’s begin with split_DOS. As you can imagine, this method splits the density of states:

[7]:
plot.split_DOS()
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_4610/3569591731.py in <module>
----> 1 plot.split_DOS()

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in split_DOS(self, on, only, exclude, clean, **kwargs)
    742         >>> plot.split_DOS(on="n+l", species=["Au"], name="Au $ns")
    743         """
--> 744         requests = self.get_param('requests')._generate_queries(
    745             on=on, only=only, exclude=exclude, query_gen=self._new_request, **kwargs)
    746

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _generate_queries(self, on, only, exclude, query_gen, **kwargs)
    458             only those that belong to carbon atoms.
    459         """
--> 460         return self._split_query({}, on=on, only=only, exclude=exclude, query_gen=query_gen, **kwargs)

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _split_query(self, query, on, only, exclude, query_gen, ignore_constraints, **kwargs)
    378
    379         # Knowing what are our constraints (which may be none), get the available options
--> 380         values = self.get_options("+".join(on), **constraints)
    381
    382         # We are going to make sure that, even if there was only one parameter to split on,

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in get_options(self, key, **kwargs)
    259         """
    260         # Get the tadatframe
--> 261         df = self.orb_filtering_df
    262
    263         # Filter the dataframe according to the constraints imposed by the kwargs,

AttributeError: 'OrbitalQueries' object has no attribute 'orb_filtering_df'

By default, it splits on the different species, but you can use the on argument to change that.

[8]:
plot.split_DOS(on="atoms")
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_4610/3590190964.py in <module>
----> 1 plot.split_DOS(on="atoms")

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in split_DOS(self, on, only, exclude, clean, **kwargs)
    742         >>> plot.split_DOS(on="n+l", species=["Au"], name="Au $ns")
    743         """
--> 744         requests = self.get_param('requests')._generate_queries(
    745             on=on, only=only, exclude=exclude, query_gen=self._new_request, **kwargs)
    746

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _generate_queries(self, on, only, exclude, query_gen, **kwargs)
    458             only those that belong to carbon atoms.
    459         """
--> 460         return self._split_query({}, on=on, only=only, exclude=exclude, query_gen=query_gen, **kwargs)

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _split_query(self, query, on, only, exclude, query_gen, ignore_constraints, **kwargs)
    378
    379         # Knowing what are our constraints (which may be none), get the available options
--> 380         values = self.get_options("+".join(on), **constraints)
    381
    382         # We are going to make sure that, even if there was only one parameter to split on,

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in get_options(self, key, **kwargs)
    259         """
    260         # Get the tadatframe
--> 261         df = self.orb_filtering_df
    262
    263         # Filter the dataframe according to the constraints imposed by the kwargs,

AttributeError: 'OrbitalQueries' object has no attribute 'orb_filtering_df'

Now we have the contribution of each atom.

But here comes the powerful part: split_DOS accepts as keyword arguments all the keys that a request accepts. Then, it adds that extra constrain to the splitting by adding the value to each request. So, if we want to get the separate contributions of all oxygen atoms, we can impose an extra constraint on species:

[9]:
plot.split_DOS(on="atoms", species=["O"], name="Oxygen $atoms")
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_4610/2490990499.py in <module>
----> 1 plot.split_DOS(on="atoms", species=["O"], name="Oxygen $atoms")

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in split_DOS(self, on, only, exclude, clean, **kwargs)
    742         >>> plot.split_DOS(on="n+l", species=["Au"], name="Au $ns")
    743         """
--> 744         requests = self.get_param('requests')._generate_queries(
    745             on=on, only=only, exclude=exclude, query_gen=self._new_request, **kwargs)
    746

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _generate_queries(self, on, only, exclude, query_gen, **kwargs)
    458             only those that belong to carbon atoms.
    459         """
--> 460         return self._split_query({}, on=on, only=only, exclude=exclude, query_gen=query_gen, **kwargs)

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _split_query(self, query, on, only, exclude, query_gen, ignore_constraints, **kwargs)
    378
    379         # Knowing what are our constraints (which may be none), get the available options
--> 380         values = self.get_options("+".join(on), **constraints)
    381
    382         # We are going to make sure that, even if there was only one parameter to split on,

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in get_options(self, key, **kwargs)
    259         """
    260         # Get the tadatframe
--> 261         df = self.orb_filtering_df
    262
    263         # Filter the dataframe according to the constraints imposed by the kwargs,

AttributeError: 'OrbitalQueries' object has no attribute 'orb_filtering_df'

and then we have only the oxygen atoms, which are all equivalent.

Note that we also set a name for all requests, with the additional twist that we used the templating supported by split_DOS. If you are splitting on parameter, you can use $parameter inside your name and the method will replace it with the value for each request. In this case parameter was atoms, but it could be anything you are splitting the DOS on.

You can also exclude some values of the parameter you are splitting on:

[10]:
plot.split_DOS(on="atoms", exclude=[1,3])
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_4610/4016990935.py in <module>
----> 1 plot.split_DOS(on="atoms", exclude=[1,3])

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in split_DOS(self, on, only, exclude, clean, **kwargs)
    742         >>> plot.split_DOS(on="n+l", species=["Au"], name="Au $ns")
    743         """
--> 744         requests = self.get_param('requests')._generate_queries(
    745             on=on, only=only, exclude=exclude, query_gen=self._new_request, **kwargs)
    746

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _generate_queries(self, on, only, exclude, query_gen, **kwargs)
    458             only those that belong to carbon atoms.
    459         """
--> 460         return self._split_query({}, on=on, only=only, exclude=exclude, query_gen=query_gen, **kwargs)

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _split_query(self, query, on, only, exclude, query_gen, ignore_constraints, **kwargs)
    378
    379         # Knowing what are our constraints (which may be none), get the available options
--> 380         values = self.get_options("+".join(on), **constraints)
    381
    382         # We are going to make sure that, even if there was only one parameter to split on,

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in get_options(self, key, **kwargs)
    259         """
    260         # Get the tadatframe
--> 261         df = self.orb_filtering_df
    262
    263         # Filter the dataframe according to the constraints imposed by the kwargs,

AttributeError: 'OrbitalQueries' object has no attribute 'orb_filtering_df'

Or indicate the only values that you want:

[11]:
plot.split_DOS(on="atoms", only=[0,2])
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_4610/3410607585.py in <module>
----> 1 plot.split_DOS(on="atoms", only=[0,2])

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in split_DOS(self, on, only, exclude, clean, **kwargs)
    742         >>> plot.split_DOS(on="n+l", species=["Au"], name="Au $ns")
    743         """
--> 744         requests = self.get_param('requests')._generate_queries(
    745             on=on, only=only, exclude=exclude, query_gen=self._new_request, **kwargs)
    746

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _generate_queries(self, on, only, exclude, query_gen, **kwargs)
    458             only those that belong to carbon atoms.
    459         """
--> 460         return self._split_query({}, on=on, only=only, exclude=exclude, query_gen=query_gen, **kwargs)

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _split_query(self, query, on, only, exclude, query_gen, ignore_constraints, **kwargs)
    378
    379         # Knowing what are our constraints (which may be none), get the available options
--> 380         values = self.get_options("+".join(on), **constraints)
    381
    382         # We are going to make sure that, even if there was only one parameter to split on,

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in get_options(self, key, **kwargs)
    259         """
    260         # Get the tadatframe
--> 261         df = self.orb_filtering_df
    262
    263         # Filter the dataframe according to the constraints imposed by the kwargs,

AttributeError: 'OrbitalQueries' object has no attribute 'orb_filtering_df'

Finally, if you want to split on multiple parameters at the same time, you can use + between different parameters. For example, to get all the oxygen orbitals:

[12]:
plot.split_DOS(on="n+l+m", species=["O"], name="Oxygen")
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_4610/3210370979.py in <module>
----> 1 plot.split_DOS(on="n+l+m", species=["O"], name="Oxygen")

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in split_DOS(self, on, only, exclude, clean, **kwargs)
    742         >>> plot.split_DOS(on="n+l", species=["Au"], name="Au $ns")
    743         """
--> 744         requests = self.get_param('requests')._generate_queries(
    745             on=on, only=only, exclude=exclude, query_gen=self._new_request, **kwargs)
    746

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _generate_queries(self, on, only, exclude, query_gen, **kwargs)
    458             only those that belong to carbon atoms.
    459         """
--> 460         return self._split_query({}, on=on, only=only, exclude=exclude, query_gen=query_gen, **kwargs)

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _split_query(self, query, on, only, exclude, query_gen, ignore_constraints, **kwargs)
    378
    379         # Knowing what are our constraints (which may be none), get the available options
--> 380         values = self.get_options("+".join(on), **constraints)
    381
    382         # We are going to make sure that, even if there was only one parameter to split on,

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in get_options(self, key, **kwargs)
    259         """
    260         # Get the tadatframe
--> 261         df = self.orb_filtering_df
    262
    263         # Filter the dataframe according to the constraints imposed by the kwargs,

AttributeError: 'OrbitalQueries' object has no attribute 'orb_filtering_df'

Managing existing requests

Not only you can create requests easily with split_DOS, but it’s also easy to manage the requests that you have created.

The methods that help you accomplish this are split_requests, update_requests, remove_requests. All three methods accept an undefined number of arguments that are used to select the requests you want to act on. You can refer to requests by their name (using a str) or their position (using an int). It’s very easy to understand with examples. Then, keyword arguments depend on the functionality of each method.

For example, let’s say that we have splitted the DOS on species

[13]:
plot.split_DOS(name="$species")
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_4610/2101396501.py in <module>
----> 1 plot.split_DOS(name="$species")

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in split_DOS(self, on, only, exclude, clean, **kwargs)
    742         >>> plot.split_DOS(on="n+l", species=["Au"], name="Au $ns")
    743         """
--> 744         requests = self.get_param('requests')._generate_queries(
    745             on=on, only=only, exclude=exclude, query_gen=self._new_request, **kwargs)
    746

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _generate_queries(self, on, only, exclude, query_gen, **kwargs)
    458             only those that belong to carbon atoms.
    459         """
--> 460         return self._split_query({}, on=on, only=only, exclude=exclude, query_gen=query_gen, **kwargs)

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _split_query(self, query, on, only, exclude, query_gen, ignore_constraints, **kwargs)
    378
    379         # Knowing what are our constraints (which may be none), get the available options
--> 380         values = self.get_options("+".join(on), **constraints)
    381
    382         # We are going to make sure that, even if there was only one parameter to split on,

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in get_options(self, key, **kwargs)
    259         """
    260         # Get the tadatframe
--> 261         df = self.orb_filtering_df
    262
    263         # Filter the dataframe according to the constraints imposed by the kwargs,

AttributeError: 'OrbitalQueries' object has no attribute 'orb_filtering_df'

and we want to remove the Sr and O lines. That’s easy:

[14]:
plot.remove_requests("Sr", 2)
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_4610/491162076.py in <module>
----> 1 plot.remove_requests("Sr", 2)

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in remove_requests(self, all, update_fig, *i_or_names)
    548             requests = [req for i, req in enumerate(self.get_setting("requests", copy=False)) if not self._matches_request(req, i_or_names, i)]
    549
--> 550         return self.update_settings(run_updates=update_fig, requests=requests)
    551
    552     def update_requests(self, *i_or_names, **kwargs):

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in update_settings(self, *args, **kwargs)
    419             # the available kwargs for the plot class and provide more help to the user
    420             def update_settings(self, *args, **kwargs):
--> 421                 return self._update_settings(*args, **kwargs)
    422
    423             update_settings.__doc__ = f"Updates the settings of this plot.\n\nDocs for {new_cls.__name__}:\n\n{get_configurable_docstring(new_cls)}"

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in _update_settings(self, run_updates, **kwargs)
    554             #Do things after updating the settings
    555             if len(self.settings_history.last_updated) > 0 and run_updates:
--> 556                 self._run_updates(self.settings_history.last_updated)
    557
    558         return self

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in _run_updates(self, for_keys)
    582         # Execute the functions that we need to execute.
    583         for f_name in func_names:
--> 584             getattr(self, f_name)()
    585
    586         return self

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plotutils.py in apply_to_all_plots(obj, childs_sel, *args, **kwargs)
    817         else:
    818
--> 819             return method(obj, *args, **kwargs)
    820
    821     return apply_to_all_plots

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in func(obj, *args, **kwargs)
    881             def func(obj, *args, **kwargs):
    882                 getattr(obj, method_name)(**kwargs, **extra_kwargs)
--> 883                 return method(obj, *args, **kwargs)
    884
    885         elif when == 'after':

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plot.py in set_data(self, update_fig, **kwargs)
   1126         self._starting_traces = len(self.data)
   1127
-> 1128         self._set_data()
   1129
   1130         if update_fig:

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/configurable.py in f_default_setting_args(self, *args, **kwargs)
    962                     pass
    963
--> 964         return f(self, *args, **kwargs)
    965
    966     return f_default_setting_args

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in _set_data(self, requests, E0, Erange)
    364
    365         #Get only the part of the arra
--> 366         E_PDOS = self.PDOS.where(
    367             (self.PDOS.E > Emin) & (self.PDOS.E < Emax), drop=True)
    368

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plot.py in __getattr__(self, key)
    734                 pass
    735
--> 736         raise AttributeError(f"The attribute '{key}' was not found either in the plot, its figure, or in shared attributes.")
    737
    738     def __setattr__(self, key, val):

AttributeError: The attribute 'PDOS' was not found either in the plot, its figure, or in shared attributes.

We have indicated that we wanted to remove the request with name "Sr" and the 2nd request. Simple, isn’t it?

Now that we know how to indicate the requests that we want to act on, let’s use it to get the total Sr contribution, and then the Ti and O contributions splitted by n and l.

It sounds difficult, but it’s actually not. Just split the DOS on species:

[15]:
plot.split_DOS(name="$species", normalize=True)
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_4610/1783703930.py in <module>
----> 1 plot.split_DOS(name="$species", normalize=True)

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plots/pdos.py in split_DOS(self, on, only, exclude, clean, **kwargs)
    742         >>> plot.split_DOS(on="n+l", species=["Au"], name="Au $ns")
    743         """
--> 744         requests = self.get_param('requests')._generate_queries(
    745             on=on, only=only, exclude=exclude, query_gen=self._new_request, **kwargs)
    746

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _generate_queries(self, on, only, exclude, query_gen, **kwargs)
    458             only those that belong to carbon atoms.
    459         """
--> 460         return self._split_query({}, on=on, only=only, exclude=exclude, query_gen=query_gen, **kwargs)

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in _split_query(self, query, on, only, exclude, query_gen, ignore_constraints, **kwargs)
    378
    379         # Knowing what are our constraints (which may be none), get the available options
--> 380         values = self.get_options("+".join(on), **constraints)
    381
    382         # We are going to make sure that, even if there was only one parameter to split on,

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/input_fields/queries.py in get_options(self, key, **kwargs)
    259         """
    260         # Get the tadatframe
--> 261         df = self.orb_filtering_df
    262
    263         # Filter the dataframe according to the constraints imposed by the kwargs,

AttributeError: 'OrbitalQueries' object has no attribute 'orb_filtering_df'

And then use split_requests to split only the requests that we want to split:

[16]:
plot.split_requests("Sr", 2, on="n+l", dash="dot")

Notice how we’ve also set dash for all the requests that split_requests has generated. We can do this because split_requests works exactly as split_DOS, with the only difference that splits specific requests.

Just as a last thing, we will let you figure out how update_requests works:

[17]:
plot.update_requests("Ti", color="red", linewidth=2)

We hope you enjoyed what you learned!


This next cell is just to create the thumbnail for the notebook in the docs

[18]:
thumbnail_plot = plot.update_requests("Ti", color=None, linewidth=1)

if thumbnail_plot:
    thumbnail_plot.show("png")
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/tmp/ipykernel_4610/3186451907.py in <module>
      2
      3 if thumbnail_plot:
----> 4     thumbnail_plot.show("png")

~/checkouts/readthedocs.org/user_builds/sisl/checkouts/v0.11.0/sisl/viz/plotly/plot.py in show(self, listen, return_figWidget, *args, **kwargs)
   1187                 warn(e)
   1188
-> 1189         return self.figure.show(*args, **kwargs)
   1190
   1191     def _ipython_display_(self, return_figWidget=False, **kwargs):

~/checkouts/readthedocs.org/user_builds/sisl/conda/v0.11.0/lib/python3.8/site-packages/plotly/basedatatypes.py in show(self, *args, **kwargs)
   3396         import plotly.io as pio
   3397
-> 3398         return pio.show(self, *args, **kwargs)
   3399
   3400     def to_json(self, *args, **kwargs):

~/checkouts/readthedocs.org/user_builds/sisl/conda/v0.11.0/lib/python3.8/site-packages/plotly/io/_renderers.py in show(fig, renderer, validate, **kwargs)
    387
    388     # Mimetype renderers
--> 389     bundle = renderers._build_mime_bundle(fig_dict, renderers_string=renderer, **kwargs)
    390     if bundle:
    391         if not ipython_display:

~/checkouts/readthedocs.org/user_builds/sisl/conda/v0.11.0/lib/python3.8/site-packages/plotly/io/_renderers.py in _build_mime_bundle(self, fig_dict, renderers_string, **kwargs)
    295                         setattr(renderer, k, v)
    296
--> 297                 bundle.update(renderer.to_mimebundle(fig_dict))
    298
    299         return bundle

~/checkouts/readthedocs.org/user_builds/sisl/conda/v0.11.0/lib/python3.8/site-packages/plotly/io/_base_renderers.py in to_mimebundle(self, fig_dict)
    126
    127     def to_mimebundle(self, fig_dict):
--> 128         image_bytes = to_image(
    129             fig_dict,
    130             format=self.format,

~/checkouts/readthedocs.org/user_builds/sisl/conda/v0.11.0/lib/python3.8/site-packages/plotly/io/_kaleido.py in to_image(fig, format, width, height, scale, validate, engine)
    132     # Raise informative error message if Kaleido is not installed
    133     if scope is None:
--> 134         raise ValueError(
    135             """
    136 Image export using the "kaleido" engine requires the kaleido package,

ValueError:
Image export using the "kaleido" engine requires the kaleido package,
which can be installed using pip:
    $ pip install -U kaleido