Explicit datacollector import

Use from mesa.datacollection import DataCollector

benchmarks/BoltzmannWealth/boltzmann_wealth.py

@@ -4,6 +4,7 @@
 """
 
 import mesa
+from mesa.datacollection import DataCollector
 
 
 def compute_gini(model):
@@ -44,7 +45,7 @@ def __init__(self, seed=None, n=100, width=10, height=10):
         self.num_agents = n
         self.grid = mesa.space.MultiGrid(width, height, True)
         self.schedule = mesa.time.RandomActivation(self)
-        self.datacollector = mesa.DataCollector(
+        self.datacollector = DataCollector(
             model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": "wealth"}
         )
         # Create agents

docs/overview.md

@@ -71,13 +71,14 @@ You'd add a data collector to the model like this:
 
 ```python
 import mesa
+from mesa.datacollection import DataCollector
 
 # ...
 
 class MyModel(mesa.Model):
     def __init__(self, n_agents):
         # ...
-        self.dc = mesa.DataCollector(model_reporters={"agent_count":
+        self.dc = DataCollector(model_reporters={"agent_count":
                                     lambda m: m.schedule.get_agent_count()},
                                 agent_reporters={"name": lambda a: a.name})
 

docs/tutorials/MoneyModel.py

@@ -1,6 +1,7 @@
 """a simple version of the boltman wealth model"""
 
 import mesa
+from mesa.datacollection import DataCollector
 
 
 def compute_gini(model):
@@ -71,7 +72,7 @@ def __init__(self, N, width, height):
             y = self.random.randrange(self.grid.height)
             self.grid.place_agent(a, (x, y))
 
-        self.datacollector = mesa.DataCollector(
+        self.datacollector = DataCollector(
             model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": "wealth"}
         )
 

docs/tutorials/intro_tutorial.ipynb

@@ -153,6 +153,7 @@
    "outputs": [],
    "source": [
     "import mesa\n",
+    "from mesa.datacollection import DataCollector\n",
     "\n",
     "# Data visualization tools.\n",
     "import seaborn as sns\n",
@@ -751,7 +752,7 @@
     "\n",
     "The data collector stores three categories of data: model-level variables, agent-level variables, and tables (which are a catch-all for everything else). Model- and agent-level variables are added to the data collector along with a function for collecting them. Model-level collection functions take a model object as an input, while agent-level collection functions take an agent object as an input. Both then return a value computed from the model or each agent at their current state. When the data collector’s `collect` method is called, with a model object as its argument, it applies each model-level collection function to the model, and stores the results in a dictionary, associating the current value with the current step of the model. Similarly, the method applies each agent-level collection function to each agent currently in the schedule, associating the resulting value with the step of the model, and the agent’s `unique_id`.\n",
     "\n",
-    "Let's add a DataCollector to the model with [`mesa.DataCollector`](https://github.com/projectmesa/mesa/blob/main/mesa/datacollection.py), and collect two variables. At the agent level, we want to collect every agent's wealth at every step. At the model level, let's measure the model's [Gini Coefficient](https://en.wikipedia.org/wiki/Gini_coefficient), a measure of wealth inequality."
+    "Let's add a [`DataCollector`](https://github.com/projectmesa/mesa/blob/main/mesa/datacollection.py) to the model and collect two variables. At the agent level, we want to collect every agent's wealth at every step. At the model level, let's measure the model's [Gini Coefficient](https://en.wikipedia.org/wiki/Gini_coefficient), a measure of wealth inequality."
    ]
   },
   {
@@ -818,7 +819,7 @@
     "            y = self.random.randrange(self.grid.height)\n",
     "            self.grid.place_agent(a, (x, y))\n",
     "\n",
-    "        self.datacollector = mesa.DataCollector(\n",
+    "        self.datacollector = DataCollector(\n",
     "            model_reporters={\"Gini\": compute_gini}, agent_reporters={\"Wealth\": \"wealth\"}\n",
     "        )\n",
     "\n",
@@ -1060,7 +1061,7 @@
     "            y = self.random.randrange(self.grid.height)\n",
     "            self.grid.place_agent(a, (x, y))\n",
     "\n",
-    "        self.datacollector = mesa.DataCollector(\n",
+    "        self.datacollector = DataCollector(\n",
     "            model_reporters={\"Gini\": compute_gini},\n",
     "            agent_reporters={\"Wealth\": \"wealth\", \"Steps_not_given\": \"steps_not_given\"},\n",
     "        )\n",