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Function plot_prediction

examples/prediction_example.py:8–38  ·  view source on GitHub ↗
(kline_df, pred_df)

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6
7
8def plot_prediction(kline_df, pred_df):
9 pred_df.index = kline_df.index[-pred_df.shape[0]:]
10 sr_close = kline_df['close']
11 sr_pred_close = pred_df['close']
12 sr_close.name = 'Ground Truth'
13 sr_pred_close.name = "Prediction"
14
15 sr_volume = kline_df['volume']
16 sr_pred_volume = pred_df['volume']
17 sr_volume.name = 'Ground Truth'
18 sr_pred_volume.name = "Prediction"
19
20 close_df = pd.concat([sr_close, sr_pred_close], axis=1)
21 volume_df = pd.concat([sr_volume, sr_pred_volume], axis=1)
22
23 fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(8, 6), sharex=True)
24
25 ax1.plot(close_df['Ground Truth'], label='Ground Truth', color='blue', linewidth=1.5)
26 ax1.plot(close_df['Prediction'], label='Prediction', color='red', linewidth=1.5)
27 ax1.set_ylabel('Close Price', fontsize=14)
28 ax1.legend(loc='lower left', fontsize=12)
29 ax1.grid(True)
30
31 ax2.plot(volume_df['Ground Truth'], label='Ground Truth', color='blue', linewidth=1.5)
32 ax2.plot(volume_df['Prediction'], label='Prediction', color='red', linewidth=1.5)
33 ax2.set_ylabel('Volume', fontsize=14)
34 ax2.legend(loc='upper left', fontsize=12)
35 ax2.grid(True)
36
37 plt.tight_layout()
38 plt.show()
39
40
41# 1. Load Model and Tokenizer

Callers 1

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