我目前正在创建一个继承了pandas的DataFrame的类。我感兴趣的是开发一个名为'new_filter‘的方法,它是DataFrame命令的一种更花哨的执行方式:
import pandas as pd
from ipywidgets import widgets
from IPython.display import display
import numpy as np
class Result(pd.DataFrame):
@property
def _constructor(self):
return Result
def _filter_done(self, c):
self._column_name = self._filter_dd.value
self._expression = self._filter_txt.value
return self[eval('self.'+ self._column_name +' '+self._expression)]
def new_filter(self):
self._filter_dd = widgets.Dropdown(options=list(self.columns),
description='Column:')
self._filter_txt = widgets.Text(description='Expr:')
self._filter_button = widgets.Button(description = 'Done')
self._filter_box = widgets.VBox([self._filter_dd, self._filter_txt, self._filter_button])
display(self._filter_box)
self._filter_button.on_click(self._filter_done)创建如下对象后:
test = Result(np.random.randn(3,4), columns=['A','B','C','D']) #just an example
test_2 = test.new_filter()然后,例如:Widget Output
我想要的是'test_2‘是来自'Result’类的对象。对此有什么解决方案吗?
发布于 2017-03-17 23:48:46
首先,您必须在函数new_filter中返回一些内容。其次,如果你想要修改相同的对象,我认为这有点难。您可以做的一件事是拥有一个具有可在_filter_done中更新的特征的对象。
下面是一个小例子,告诉你如何做到这一点:
import pandas as pd
from ipywidgets import widgets
from IPython.display import display
import numpy as np
class Result(pd.DataFrame):
@property
def _constructor(self):
return Result
def _filter_done(self, obj, c):
## obj is the obejct to be modified.
## Updating its data attribute to have the filtered data.
self._column_name = self._filter_dd.value
self._expression = self._filter_txt.value
obj.data = self[eval('self.'+ self._column_name +' '+self._expression)]
def new_filter(self):
self._filter_dd = widgets.Dropdown(options=list(self.columns),
description='Column:')
self._filter_txt = widgets.Text(description='Expr:')
self._filter_button = widgets.Button(description = 'Done')
self._filter_box = widgets.VBox([self._filter_dd, self._filter_txt, self._filter_button])
display(self._filter_box)
result_obj = FilterResult()
self._filter_button.on_click(lambda arg: self._filter_done(result_obj, arg))
return result_obj
from traitlets import HasTraits
from traittypes import DataFrame
class FilterResult(HasTraits):
data = DataFrame()使用与问题中相同的示例代码,即,
test = Result(np.random.randn(3,4), columns=['A', 'B', 'C','D']) #just an example
test_2 = test.new_filter()您可以看到,无论何时单击done,更新后的dataframe都在test_2.data中。
https://stackoverflow.com/questions/42562895
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