import pandas as pd
# 加载数据
data = pd.read_csv('satellite_data.csv')
print(data.head())
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import matplotlib.pyplot as plt
plt.plot(data['time'], data['temperature'])
plt.xlabel('Time')
plt.ylabel('Temperature')
plt.title('Temperature over Time')
plt.show()
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from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
X = data[['time']]
y = data['temperature']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
model = LinearRegression()
model.fit(X_train, y_train)
predictions = model.predict(X_test)
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