Name |
Type |
Description |
Notes |
coordinates |
List[float] |
Location of the significant coordinate in three dimensional space. |
[optional] |
space |
str |
Template space used to determine coordinate Examples include TAL or MNI. |
[optional] |
kind |
str |
Method of how point was derived (e.g., center of mass) |
[optional] |
label_id |
str |
If the point is associated with an image, this is the value the point takes in that image. |
[optional] |
image |
str |
|
[optional] |
values |
PointRelationshipsValues |
|
[optional] |
x |
float |
|
[optional] |
y |
float |
|
[optional] |
z |
float |
|
[optional] |
entities |
List[Entity] |
|
[optional] |
id |
str |
short UUID specifying the location of this resource |
[optional] |
public |
bool |
whether the resource is listed in public searches or not |
[optional] [default to True] |
analysis |
str |
|
[optional] |
cluster_size |
float |
size of the cluster in cubic millimeters |
[optional] |
subpeak |
bool |
whether the reported peak is the max-peak statistic or a sub-maxmimal peak. |
[optional] |
order |
int |
determines the row to display the coordinate |
[optional] |
from neurostore_sdk.models.point_request import PointRequest
# TODO update the JSON string below
json = "{}"
# create an instance of PointRequest from a JSON string
point_request_instance = PointRequest.from_json(json)
# print the JSON string representation of the object
print PointRequest.to_json()
# convert the object into a dict
point_request_dict = point_request_instance.to_dict()
# create an instance of PointRequest from a dict
point_request_form_dict = point_request.from_dict(point_request_dict)
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