将 Pandas 数据框传递给类
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Pass pandas dataframe into class
提问by user308827
I would like to create a class from a pandas dataframe that is created from csv. Is the best way to do it, by using a @staticmethod? so that I do not have to read in dataframe separately for each object
我想从从 csv 创建的Pandas数据帧创建一个类。使用@staticmethod 是最好的方法吗？这样我就不必为每个对象分别读取数据帧
回答by Simeon Visser
You don't need a @staticmethodfor this. You can pass the pandas DataFrame whenever you're creating instances of the class:
你不需要一个@staticmethod。您可以在创建类的实例时传递 pandas DataFrame：
class MyClass:
def __init__(self, my_dataframe):
self.my_dataframe = my_dataframe
a = MyClass(my_dataframe)
b = MyClass(my_dataframe)
At this point, both aand bhave access to the DataFrame that you've passed and you don't have to read the DataFrame each time. You can read the data from the CSV file once, create the DataFrame and construct as many instances of your class as you like (which all have access to the DataFrame).
此时，a和b都可以访问您传递的 DataFrame 并且您不必每次都读取 DataFrame。您可以从 CSV 文件中读取一次数据，创建 DataFrame 并根据需要构建任意数量的类实例（它们都可以访问 DataFrame）。
回答by Tom
I would think you could create the dataframe in the first instance with
我认为你可以在第一个实例中创建数据框
a = MyClass(my_dataframe)
a = MyClass(my_dataframe)
and then just make a copy
然后复制一份
b = a.copy()
b = a.copy()
Then b is independent of a
那么 b 独立于 a
