如何在时间轴X轴上移动绘制线？
我有此图
和此代码：
plt.style.use('ggplot')
plt.plot(df1['Close'], color='b', label='Historical closing price')
plt.plot(df1_30_pred, color='r', label='30 days prediction')
plt.plot(dftoday['Close'],color='g', label='Real closing price for 30 days')
plt.plot([coefficients[0]*x + coefficients[1] for x in range(len(df1_30_pred))],color='orange', label='30 days prediction trend')
# Adding legend, which helps recognizing the curves according to color
plt.legend(loc='upper left')
plt.xticks(np.arange(0, 300, 10),rotation=45)
plt.yticks(np.arange(0, 200, 10))
plt.legend(loc='upper left')
plt.title('AAPL 30 day prediction', fontsize=20)
plt.xlabel("Date", fontsize=18)
plt.ylabel("Closing price $", fontsize=18)
plt.show()
我想移动橙色趋势线将其放在红色图的顶部，以便在日期之间进行计算。
I have this graph
and this code:
plt.style.use('ggplot')
plt.plot(df1['Close'], color='b', label='Historical closing price')
plt.plot(df1_30_pred, color='r', label='30 days prediction')
plt.plot(dftoday['Close'],color='g', label='Real closing price for 30 days')
plt.plot([coefficients[0]*x + coefficients[1] for x in range(len(df1_30_pred))],color='orange', label='30 days prediction trend')
# Adding legend, which helps recognizing the curves according to color
plt.legend(loc='upper left')
plt.xticks(np.arange(0, 300, 10),rotation=45)
plt.yticks(np.arange(0, 200, 10))
plt.legend(loc='upper left')
plt.title('AAPL 30 day prediction', fontsize=20)
plt.xlabel("Date", fontsize=18)
plt.ylabel("Closing price quot;, fontsize=18)
plt.show()
I want to move the orange trend line to place it on top of the red graph, so it will be between the dates is calculated for.
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为此，请指定索引“ DF1_30_PRED”。
如我指出的那样，它不起作用，请提供所有数据（数据框架）。我将尝试解决问题。
To do this, specify the indexes 'df1_30_pred'.
If, as I indicated, it does not work, then give all the data(dataframe). I'll try to solve the problem.