Best Python code snippet using tavern
DataAnalysis.py
Source: DataAnalysis.py
...50 a = DataCollector(os.getcwd() + "test/", data_name_list=["d1", "d2", "d3"], data_length_when_save=200)51 for i in range(2000):52 a.add_data([[1, 2], [1, 2, 3], [1, 2, 3, 4]])53 @staticmethod54 def test_load_one():55 a = np.load(os.getcwd() + "test/d3_1800.npy")56 print(a)57 print(a.shape)58class DataAnalysis():59 @staticmethod60 def plot_hist_on_different_ylabel(x, y, kwargs_for_ax=None, xlim=None):61 '''62 ç»å¶ä¸åy labelä¸çxçåå¸,ä¼å
æ ¹æ®yè¿æ»¤x,è¿æ»¤çæ¯ç»xä½ç´æ¹å¾63 :param x: æµ®ç¹æ°åé64 :param y: æ´æ°åé,代表label65 :return:66 '''67 assert isinstance(x, np.ndarray)68 assert isinstance(y, np.ndarray)69 y = y.astype(np.int8)70 assert x.shape[0] == y.shape[0]71 labels = list(set(y))72 label_to_x_dict = {}73 for label in labels:74 # éåºlabelåæ¯ä¸ªlabelç¸åçx,ä¹å°±æ¯group by label75 index = np.argwhere(label == y)76 filted_x = x[index]77 label_to_x_dict[label] = filted_x78 n_ax = len(labels)79 # å¦ælabel大äº9,å°±3å,å°äº9就两å80 if n_ax >= 9:81 n_cols = 382 else:83 n_cols = 284 n_rows = 085 while n_rows * n_cols < n_ax:86 n_rows += 187 fig, ax_list = plt.subplots(nrows=n_rows, ncols=n_cols)88 ax_list = ax_list.flatten()89 for i in range(n_ax):90 x = label_to_x_dict[labels[i]]91 mean = np.mean(x)92 std = np.std(x)93 if kwargs_for_ax is None:94 ax_list[i].hist(x, )95 else:96 ax_list[i].hist(x, **kwargs_for_ax)97 mean = "%.4f" % mean98 std = "%.4f" % std99 ax_list[i].set_title(str(labels[i]) + " mean: %s, std: %s" % (mean, std))100 if xlim is not None:101 ax_list[i].set_xlim(*xlim)102 fig.tight_layout()103 return plt104 @staticmethod105 def test_plot_hist_on_different_ylabel():106 DataAnalysis.plot_hist_on_different_ylabel(107 x=np.array([1, 2, 3, 4, 5, 6, 7, 8]),108 y=np.array([1, 2, 3, 1, 2, 3, 1, 1])109 ).show()110if __name__ == '__main__':111 # DataCollector.test_save()112 # DataCollector.test_load_one()...
test_database.py
Source: test_database.py
...23 def test_load_all(self):24 database = Database(':memory:')25 result = database.load_all('SELECT * FROM habits', [])26 self.assertEqual(5, len(result))27 def test_load_one(self):28 database = Database(':memory:')29 result = database.load_one('SELECT rowid FROM habits WHERE rowid=?', [1])...
test_yahoo_events.py
Source: test_yahoo_events.py
...5from pxtrade.events.yahoo import (6 load_yahoo_prices,7 YahooAssetLoader,8)9def test_load_one():10 with pytest.raises(NotImplementedError):11 load_yahoo_prices(None) # not a supported type12def test_loader():13 reset()14 with pytest.raises(TypeError):15 # requires a backtest object16 YahooAssetLoader(None, None)17 class MyStrategy(Strategy):18 def generate_trades(self):19 return None20 stock = Stock("AAPL")21 stock.yahoo_ticker = 12322 backtest = Backtest(MyStrategy())23 # yahoo_ticker for stock must be None or string...
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