stock_data['close_mean5']=np.round(stock_data['close'].rolling(window=5,center=False).mean(),2) stock_data['close_mean20']=np.round(stock_data['close'].rolling(window=20,center=False).mean(),2) data=stock_data.loc['2022-06-03':'2022-12-14'] #获取某个时间段内的时间序列数据 pandas_candlestick_ohlc(data,['close_mean5','close_mean20']) 横坐标的刻度怎么变小一点
时间: 2023-12-20 19:04:01 浏览: 25
你可以使用 matplotlib 库中的 subplots_adjust() 方法来调整横坐标的刻度。例如,你可以在绘制 K 线图之前添加以下代码来缩小横坐标的刻度:
```
import matplotlib.pyplot as plt
# 获取数据并计算均线
stock_data['close_mean5'] = np.round(stock_data['close'].rolling(window=5, center=False).mean(), 2)
stock_data['close_mean20'] = np.round(stock_data['close'].rolling(window=20, center=False).mean(), 2)
data = stock_data.loc['2022-06-03':'2022-12-14']
# 创建子图并绘制 K 线图
fig, ax = plt.subplots(figsize=(12, 6))
pandas_candlestick_ohlc(data, ['close_mean5', 'close_mean20'], ax=ax)
# 调整横坐标的刻度
fig.subplots_adjust(bottom=0.2)
```
在这里,我们将子图的底部边界调整为 0.2,这样就会使横坐标的刻度变小一些。你可以根据需要调整这个参数。