因为fivminohlc是类的实例，所以当您将其分配给df_main时，df_main本质上成为fivminohlc的“指针”。

df_main和fivminohlc都代表相同的实例。因此，通过更新df_main，您还将更新fivminohlc。

response.data.CreatePublisher

以上代码将打印

class A:
    num = 1

a = A()
b = a
b.num = 2
print(a.num)
print(a == b)

请参阅此文档：https://docs.python.org/3/tutorial/classes.html

第9.3.5节。类和实例变量也可能有用。

复制

文档：https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.copy.html

2
True

这将打印：

from pandas import DataFrame

# Instantiate an initial dataframe with columns "Name" and "RoomNumber"
df = DataFrame(columns=["Name","RoomNumber"])

# Instantiate second_instance which effectively acts as a pointer to df's instance. 
# Also instantiate df_copy using df.copy() which copies the entirety of df into a
# new object.
second_instance = df
df_copy = df.copy()

# Update second_instance to add a new column,and print df. We can clearly see 
# that the change to second_instance affected df.
second_instance["NumberOfGuests"] = {}
print(df.columns)

# Now print df_copy. We can see that the above change to second_instance did not 
# affect df_copy as it is a separate instance.
print(df_copy.columns)