masked_object(x, value, copy=True, shrink=True)
This function is similar to masked_values
, but only suitable for object arrays: for floating point, use masked_values
instead.
Array to mask
Comparison value
Whether to return a copy of x.
Whether to collapse a mask full of False to nomask
Mask the array x where the data are exactly equal to value.
masked_equal
Mask where equal to a given value (integers).
masked_values
Mask using floating point equality.
masked_where
Mask where a condition is met.
>>> import numpy.ma as maThis example is valid syntax, but we were not able to check execution
... food = np.array(['green_eggs', 'ham'], dtype=object)
... # don't eat spoiled food
... eat = ma.masked_object(food, 'green_eggs')
... eat masked_array(data=[--, 'ham'], mask=[ True, False], fill_value='green_eggs', dtype=object)
>>> # plain ol` ham is boring
... fresh_food = np.array(['cheese', 'ham', 'pineapple'], dtype=object)
... eat = ma.masked_object(fresh_food, 'green_eggs')
... eat masked_array(data=['cheese', 'ham', 'pineapple'], mask=False, fill_value='green_eggs', dtype=object)
Note that :None:None:`mask` is set to nomask
if possible.
>>> eat masked_array(data=['cheese', 'ham', 'pineapple'], mask=False, fill_value='green_eggs', dtype=object)See :
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them