質問編集履歴
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ソースコードの追加
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### 該当のソースコード
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```python
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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from matplotlib import rcParams
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rcParams['font.family'] = 'sans-serif'
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rcParams['font.sans-serif'] = ['Hiragino Maru Gothic Pro', 'Yu Gothic', 'Meirio', 'Takao', 'IPAexGothic', 'IPAPGothic', 'VL PGothic', 'Noto Sans CJK JP']
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plt.rcParams['figure.figsize'] = 20, 5
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weather_df = pd.read_csv("/content/weather.csv", index_col='年月日', encoding="shift-jis")
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data_X = []
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data_y = []
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p = 10
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for i in range(len(weather_df)-p):
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data_X.append(weather_df['平均気温(℃)'][i:i+p])
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data_y.append(weather_df['平均気温(℃)'][i+p])
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data_X = np.array(data_X)
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data_y = np.array(data_y)
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len_train = int(len(data_X)*0.7)
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X_train = data_X[:len_train]
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X_test = data_X[len_train:]
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y_train = data_y[:len_train]
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y_test = data_y[len_train:]
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from sklearn.preprocessing import MinMaxScaler
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scaler_x = MinMaxScaler()
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X_train_n = scaler_x.fit_transform(X_train)
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X_test_n = scaler_x.transform(X_test)
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scaler_y = MinMaxScaler()
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y_train_n = scaler_y.fit_transform(y_train.reshape(len(y_train),1))
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y_test_n = scaler_y.transform(y_test.reshape(len(y_test),1))
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```
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