There are tools to get information of objects in Python. Part of the problem is that your code gets hung up at the creation of g, (which of course is maybe why you want documentation!). But using the example from the seaborn docs:
import seaborn as sns; sns.set(color_codes=True)
iris = sns.load_dataset("iris")
species = iris.pop("species")
g = sns.clustermap(iris)
You can do dir(g) to get all its attributes:
['__class__',
'__delattr__',
'__dict__',
'__dir__',
'__doc__',
...
'row_colors',
'savefig',
'set',
'standard_scale',
'z_score']
You can also call help(g) to get the docstring for ClusterGrid:
class ClusterGrid(seaborn.axisgrid.Grid)
| ClusterGrid(data, pivot_kws=None, z_score=None, standard_scale=None, figsize=None, row_colors=None, col_colors=None, mask=None)
|
| Base class for grids of subplots.
|
| Method resolution order:
| ClusterGrid
| seaborn.axisgrid.Grid
| builtins.object
|
| Methods defined here:
...
...
...
You can use type(g) to get the full object type:
seaborn.matrix.ClusterGrid
Which can show you the path through the seaborn source to get its definition here.
You could also use the built-in inspect module to get more information for seaborn.matrix.ClusterGrid.
>>>print(inspect.getsource(seaborn.matrix.ClusterGrid)) #for getting source code
class ClusterGrid(Grid):
def __init__(self, data, pivot_kws=None, z_score=None, standard_scale=None,
figsize=None, row_colors=None, col_colors=None, mask=None):
"""Grid object for organizing clustered heatmap input on to axes"""
...
...
...
>>>print(inspect.getfullargspec(seaborn.matrix.ClusterGrid)) #for getting arguments
FullArgSpec(args=['self', 'data', 'pivot_kws', 'z_score', 'standard_scale', 'figsize', 'row_colors', 'col_colors', 'mask'], varargs=None, varkw=None, defaults=(None, None, None, None, None, None, None), kwonlyargs=[], kwonlydefaults=None, annotations={})
I also cannot find online documentation for the record.