Remove a few unused imports

Author: marcharper

axelrod/fingerprint.py

@@ -1,10 +1,8 @@
-import csv
 import os
 from collections import namedtuple
 from tempfile import mkstemp
 from typing import Any, List, Union
 
-import dask as da
 import dask.dataframe as dd
 import matplotlib.pyplot as plt
 import numpy as np

axelrod/result_set.py

@@ -1,18 +1,16 @@
+from collections import Counter, namedtuple
 import csv
 import itertools
-from collections import Counter, namedtuple
 from multiprocessing import cpu_count
 
-import axelrod.interaction_utils as iu
 import numpy as np
 import tqdm
-from axelrod.action import Action, str_to_actions
+from axelrod.action import Action
 
 import dask as da
 import dask.dataframe as dd
 
 from . import eigen
-from .game import Game
 
 C, D = Action.C, Action.D
 
@@ -416,7 +414,6 @@ def _build_normalised_cooperation(self):
 
     @update_progress_bar
     def _build_initial_cooperation_rate(self, interactions_series):
-        interactions_dict = interactions_series.to_dict()
         interactions_array = np.array(
             [
                 interactions_series.get(player_index, 0)

axelrod/tournament.py

@@ -253,14 +253,8 @@ def _write_interactions_to_file(self, results, writer):
                     ) = results
                 for index, player_index in enumerate(index_pair):
                     opponent_index = index_pair[index - 1]
-                    row = [
-                        self.num_interactions,
-                        player_index,
-                        opponent_index,
-                        repetition,
-                    ]
-                    row.append(str(self.players[player_index]))
-                    row.append(str(self.players[opponent_index]))
+                    row = [self.num_interactions, player_index, opponent_index, repetition,
+                           str(self.players[player_index]), str(self.players[opponent_index])]
                     history = actions_to_str([i[index] for i in interaction])
                     row.append(history)