all_fileds_avg = pd.DataFrame()
all_fileds_avg.loc[0,'grid_connection'] = [{'active_power':1.0,'power factor':0.23,'reactive_power':-0.8}]
print(all_fileds_avg)
all_device_df = all_fileds_avg.copy()
insert_data_5vg_df = all_fileds_avg.copy() # 5分钟均值表
insert_data_quality_df = all_fileds_avg.copy() # 用于质控均值表
all_fileds_avg["grid_connection"].values[0][0]["active_power"] = 100
print(all_device_df)
print(all_fileds_avg)
print(insert_data_5vg_df)
我需要all_device_df 、insert_data_5vg_df 和insert_data_quality_df 都是互不影响,但是现在是绑定的,更改任何一个都会修改其他的任何一个