C:\Users\Administrator\Desktop\sp-布林15m\Function.py:203: FutureWarning: Could not cast to float64, falling back to object. This behavior is deprecated. In a future version, when a dtype is passed to 'DataFrame', either all columns will be cast to that dtype, or a TypeError will be raised. positions_df = pd.DataFrame(account_info['positions'], dtype=float) C:\Users\Administrator\Desktop\sp-布林15m\Function.py:208: FutureWarning: Could not cast to float64, falling back to object. This behavior is deprecated. In a future version, when a dtype is passed to 'DataFrame', either all columns will be cast to that dtype, or a TypeError will be raised. assets_df = pd.DataFrame(account_info['assets'], dtype=float)这个问题应该怎么解决

这个警告是因为在创建DataFrame时，传入了一个dtype参数，但是数据中有一些无法转换为float64类型的值。未来的版本中，要么所有列都将被转换为指定的数据类型，要么将引发TypeError。解决此问题的方法是删除dtype参数或确保所有数据可以转换为指定的数据类型。你可以尝试将代码修改为以下形式来解决这个问题：

positions_df = pd.DataFrame(account_info['positions'])
positions_df = positions_df.astype(float)

assets_df = pd.DataFrame(account_info['assets'])
assets_df = assets_df.astype(float)

这将先创建一个DataFrame，然后将其转换为float类型。这样做可以忽略掉数据类型不一致的警告。