Bases: BaseSummary
A class for handling Benthic Photo Quadrat data from MERMAID.
The BenthicPhotoQuadrat class is responsible for fetching Benthic Photo Quadrat data,
including observations, observations aggregated by sample units, and observations
aggregated by sample events, for a specified project.
Source code in seasnake/summaries/benthic_photo_quadrat.py
| class BenthicPhotoQuadrat(BaseSummary):
"""
A class for handling Benthic Photo Quadrat data from MERMAID.
The BenthicPhotoQuadrat class is responsible for fetching Benthic Photo Quadrat data,
including observations, observations aggregated by sample units, and observations
aggregated by sample events, for a specified project.
"""
@requires_token
def observations(self, project_id: str) -> DataFrame:
"""
Retrieves a project's Benthic Photo Quadrat observations.
Args:
project_id (str): The ID of the project for which to fetch
Benthic Photo Quadrat observations.
Returns:
DataFrame
Examples:
```
from seasnake import MermaidAuth, BenthicPhotoQuadrat
auth = MermaidAuth()
bpq = BenthicPhotoQuadrat(token=auth.get_token())
project_id = "AAAAAAAA-BBBB-CCCC-DDDD-EEEEEEEEEEEE"
print(bpq.observations(project_id))
```
"""
url = f"/projects/{project_id}/benthicpqts/obstransectbenthicpqts/"
df = self.read_cache(url)
return self.to_cache(url, self.data_frame_from_url(url)) if df is None else df
@requires_token
def sample_units(self, project_id: str) -> DataFrame:
"""
Retrieves a project's Benthic Photo Quadrat observations aggregated by sample units.
Args:
project_id (str): The ID of the project for which to fetch
Benthic Photo Quadrat sample units.
Returns:
DataFrame
Examples:
```
from seasnake import MermaidAuth, BenthicPhotoQuadrat
auth = MermaidAuth()
bpq = BenthicPhotoQuadrat(token=auth.get_token())
project_id = "AAAAAAAA-BBBB-CCCC-DDDD-EEEEEEEEEEEE"
print(bpq.sample_units(project_id))
```
"""
url = f"/projects/{project_id}/benthicpqts/sampleunits/"
df = self.read_cache(url)
return self.to_cache(url, self.data_frame_from_url(url)) if df is None else df
@requires_token
def sample_events(self, project_id: str) -> DataFrame:
"""
Retrieves a project's Benthic Photo Quadrat observations aggregated by sample events.
Args:
project_id (str): The ID of the project for which to fetch
Benthic Photo Quadrat sample events.
Returns:
DataFrame
Examples:
```
from seasnake import MermaidAuth, BenthicPhotoQuadrat
auth = MermaidAuth()
bpq = BenthicPhotoQuadrat(token=auth.get_token())
project_id = "AAAAAAAA-BBBB-CCCC-DDDD-EEEEEEEEEEEE"
print(bpq.sample_events(project_id))
```
"""
url = f"/projects/{project_id}/benthicpqts/sampleevents/"
df = self.read_cache(url)
return self.to_cache(url, self.data_frame_from_url(url)) if df is None else df
|
observations(project_id)
Retrieves a project's Benthic Photo Quadrat observations.
Parameters:
Name |
Type |
Description |
Default |
project_id |
str
|
The ID of the project for which to fetch
Benthic Photo Quadrat observations.
|
required
|
Returns:
Type |
Description |
DataFrame
|
|
Examples:
from seasnake import MermaidAuth, BenthicPhotoQuadrat
auth = MermaidAuth()
bpq = BenthicPhotoQuadrat(token=auth.get_token())
project_id = "AAAAAAAA-BBBB-CCCC-DDDD-EEEEEEEEEEEE"
print(bpq.observations(project_id))
Source code in seasnake/summaries/benthic_photo_quadrat.py
| @requires_token
def observations(self, project_id: str) -> DataFrame:
"""
Retrieves a project's Benthic Photo Quadrat observations.
Args:
project_id (str): The ID of the project for which to fetch
Benthic Photo Quadrat observations.
Returns:
DataFrame
Examples:
```
from seasnake import MermaidAuth, BenthicPhotoQuadrat
auth = MermaidAuth()
bpq = BenthicPhotoQuadrat(token=auth.get_token())
project_id = "AAAAAAAA-BBBB-CCCC-DDDD-EEEEEEEEEEEE"
print(bpq.observations(project_id))
```
"""
url = f"/projects/{project_id}/benthicpqts/obstransectbenthicpqts/"
df = self.read_cache(url)
return self.to_cache(url, self.data_frame_from_url(url)) if df is None else df
|
sample_events(project_id)
Retrieves a project's Benthic Photo Quadrat observations aggregated by sample events.
Parameters:
Name |
Type |
Description |
Default |
project_id |
str
|
The ID of the project for which to fetch
Benthic Photo Quadrat sample events.
|
required
|
Returns:
Type |
Description |
DataFrame
|
|
Examples:
from seasnake import MermaidAuth, BenthicPhotoQuadrat
auth = MermaidAuth()
bpq = BenthicPhotoQuadrat(token=auth.get_token())
project_id = "AAAAAAAA-BBBB-CCCC-DDDD-EEEEEEEEEEEE"
print(bpq.sample_events(project_id))
Source code in seasnake/summaries/benthic_photo_quadrat.py
| @requires_token
def sample_events(self, project_id: str) -> DataFrame:
"""
Retrieves a project's Benthic Photo Quadrat observations aggregated by sample events.
Args:
project_id (str): The ID of the project for which to fetch
Benthic Photo Quadrat sample events.
Returns:
DataFrame
Examples:
```
from seasnake import MermaidAuth, BenthicPhotoQuadrat
auth = MermaidAuth()
bpq = BenthicPhotoQuadrat(token=auth.get_token())
project_id = "AAAAAAAA-BBBB-CCCC-DDDD-EEEEEEEEEEEE"
print(bpq.sample_events(project_id))
```
"""
url = f"/projects/{project_id}/benthicpqts/sampleevents/"
df = self.read_cache(url)
return self.to_cache(url, self.data_frame_from_url(url)) if df is None else df
|
sample_units(project_id)
Retrieves a project's Benthic Photo Quadrat observations aggregated by sample units.
Parameters:
Name |
Type |
Description |
Default |
project_id |
str
|
The ID of the project for which to fetch
Benthic Photo Quadrat sample units.
|
required
|
Returns:
Type |
Description |
DataFrame
|
|
Examples:
from seasnake import MermaidAuth, BenthicPhotoQuadrat
auth = MermaidAuth()
bpq = BenthicPhotoQuadrat(token=auth.get_token())
project_id = "AAAAAAAA-BBBB-CCCC-DDDD-EEEEEEEEEEEE"
print(bpq.sample_units(project_id))
Source code in seasnake/summaries/benthic_photo_quadrat.py
| @requires_token
def sample_units(self, project_id: str) -> DataFrame:
"""
Retrieves a project's Benthic Photo Quadrat observations aggregated by sample units.
Args:
project_id (str): The ID of the project for which to fetch
Benthic Photo Quadrat sample units.
Returns:
DataFrame
Examples:
```
from seasnake import MermaidAuth, BenthicPhotoQuadrat
auth = MermaidAuth()
bpq = BenthicPhotoQuadrat(token=auth.get_token())
project_id = "AAAAAAAA-BBBB-CCCC-DDDD-EEEEEEEEEEEE"
print(bpq.sample_units(project_id))
```
"""
url = f"/projects/{project_id}/benthicpqts/sampleunits/"
df = self.read_cache(url)
return self.to_cache(url, self.data_frame_from_url(url)) if df is None else df
|