英文:
Is it possible to input multiple values into a single variable in a Python function?
问题
这是我的函数：
def function_drop_columns(x, y):
return x.loc[:, ~(x.columns.str.endswith(y))]
x 始终只是一个输入，指定一个数据框。但是对于 y，可能有许多列我想要删除（它们以不同的字符串结尾）。是否有办法重写这个函数，使得 y 可以接受多个值作为输入？
我在想是否可以使用一些“或”操作符，但似乎没有起作用。
df1 = function_drop_columns(df, 'DATE' or 'STATE')
我需要更改函数本身，还是有办法重写输入以涵盖不同的值？
英文:
Here's my function:
def function_drop_columns (x,y):
return (x).loc[:,~(x).columns.str.endswith(y)]
x will always just be one input- specifying a dataframe. For y, however, there could be many columns I want to drop (which end with different strings). Is there any way to re-write this so y can be input with multiple values?
I was wondering if I could input some kind 'or' operator but it doesn't seem to have worked.
df1 = function_drop_columns (df,'DATE' or 'STATE')
Do I need to change the function itself or is there way to re-write the input to cover different values?
答案1
得分: 3
pandas.Series.str.endswith 允许将字符串元组用作模式。您可以使用：
function_drop_columns(df, ('DATE', 'STATE'))
英文:
pandas.Series.str.endswith allows tuple of strings as pattern. Use could use:
function_drop_columns(df, ('DATE', 'STATE'))
答案2
得分: 0
你可以在函数参数前使用 * 将值打包到你的函数中，比如 def function_drop_columns(x, *args):，它会将 x 后面的所有值打包起来：
def function_drop_columns(x, *y):
print(x)
print(y)
然后在控制台中输入以下代码：
>>> function_drop_columns("第一个值", "第二个值", "第三个值")
你会得到以下输出：
第一个值
('第二个值', '第三个值')
你也可以使用 ** 来传递带有关键字的值：
def function_drop_columns(x, **y):
print(x)
print(y)
然后在控制台中输入以下代码：
>>> function_drop_columns("第一个值", second="第二个值", third="第三个值")
你会得到以下输出：
第一个值
{'second': '第二个值', 'third': '第三个值'}
英文:
You can use * before an argument to pack value in your function like def function_drop_columns(x, *args): which pack all value after x like and :
def function_drop_columns(x, *y):
print(x)
print(y)
And with that you get in the console :
>>> function_drop_columns("First value", "Second value", "Third value")
First value
('Second value', 'Third value')
You can also use ** if your want to pass value with keyword like :
def function_drop_columns(x, **y):
print(x)
print(y)
And we get :
>>> function_drop_columns("First value", second="Second value", third="Third value")
First value
{'second': 'Second value', 'third': 'Third value'}
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