From d06a132c5a7b5b7426f71b29da9d5518b98ed704 Mon Sep 17 00:00:00 2001
From: Aki <please@ignore.pl>
Date: Tue, 28 Mar 2023 23:37:17 +0200
Subject: Temporarily removed levels from Response and Prediction

---
 windy/point_forecast.py | 21 ++-------------------
 1 file changed, 2 insertions(+), 19 deletions(-)

diff --git a/windy/point_forecast.py b/windy/point_forecast.py
index 8ee4fe2..f840d97 100644
--- a/windy/point_forecast.py
+++ b/windy/point_forecast.py
@@ -133,15 +133,6 @@ class Prediction:
 	def parameters(self) -> tuple:
 		return self._response.parameters
 
-	def levels(self, parameter) -> tuple:
-		return self._response.levels(parameter)
-
-	def level(self, parameter, level) -> int:
-		return self._response.level(parameter, level)
-
-	def at(self, parameter, level):
-		return self._response.raw_predictions[parameter][self._index][self.level(parameter, level)]
-
 	def __iter__(self):
 		return iter(self.parameters)
 
@@ -152,9 +143,8 @@ class Prediction:
 class Response:
 	"""
 	Parses raw JSON response from Windy's API to allow easier access to prepared pint-based vertical profiles of
-	each of the parameters from the requested forecast scope. Values are first keyed by the parameter name
-	(each of the self.parameters), then indexed by the predictions (respectively to self.timestamps), and then
-	indexed in numpy array by the levels (respectively to self.levels(parameter)).
+	each of the parameters from the requested forecast scope. Profiles are accessed by the parameter name (each
+	of the self.parameters) and then indexed by the predictions time (respectively to self.timestamps).
 
 	Wrapper to access parameters of a certain prediction time point is available:
 
@@ -201,7 +191,6 @@ class Response:
 						pass
 				profiles.append(np.array(profile) * units[parameter])
 			self.raw_predictions[parameter] = profiles
-		self._levels = levels
 
 	def __len__(self):
 		return len(self.timestamps)
@@ -210,12 +199,6 @@ class Response:
 	def parameters(self) -> tuple:
 		return tuple(self.raw_predictions.keys())
 
-	def levels(self, parameter) -> tuple:
-		return self._levels[parameter]
-
-	def level(self, parameter, level) -> int:
-		return self.levels(parameter).index(Level(level))
-
 	def predictions(self) -> Prediction:
 		"""
 		Yields Prediction for each time point available in this Response.
-- 
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