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