Jupyter Notebook + iPython 小部件 - 小部件的動態數量

Question

我正在編寫一個腳本，最終將允許使用 ipywidgets 進行數據探索。 我已經為某些人可能有興趣過濾的動態數量的列做了一些工作，但事實證明以動態方式實現交互功能很困難。 下面是我在 Jupyter 中運行的示例代碼：

import ipywidgets as widgets
from ipywidgets import interact
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/yankev/testing/master/datasets/nycflights.csv')
df = df.drop(df.columns[[0]], axis=1)

filter_cols = list(['origin','dest','carrier']) #list N columns we want to filter on
filter_df = df[filter_cols] #pull selected N columns from dataframe
filter_df.drop_duplicates(inplace=True) #remove duplicates

#loop through columns and create variables/widgets
for idx, val in enumerate(filter_cols):
    #creates N variables (filter0, filter1, filter2) with unique values for each column with an All option
    globals()['filter{}'.format(idx)] = ['All']+sorted(filter_df[val].unique().tolist())

    #creates N widgets (widget0, widget1, widget2) for interact function below
    globals()['widget{}'.format(idx)] = widgets.SelectMultiple(
        options=globals()['filter{}'.format(idx)],
        value=['All'],
        description=val,
        disabled=False
    )

#looking to make this function dynamic based on the number of columns we want to filter by
#filters down source dataframe based on widget value selections
def viewer(a, b, c = list()):
    #if widget selection is 'All', pass the full filter list, else filter only to what is selected in the widget
    return df[df['origin'].isin(filter0 if a==('All',) else a)
              & df['dest'].isin(filter1 if b==('All',) else b) 
              & df['carrier'].isin(filter2 if c==('All',) else c)].shape[0]

#displays N filters
#returns record count for filter combination
interact(viewer, a=widget0, b=widget1, c=widget2)

代碼的后半部分，在循環之后，是我想要動態化的。 就目前而言，我必須更改列名稱標注並添加/刪除任何其他過濾器的代碼。 將操作量限制在腳本中的幾個點會很好。

任何建議都非常感謝。 謝謝！

Answer 1

我不太詳細地遵循您的代碼，但總的來說，可以使用關鍵字參數顯示動態數量的小部件並與之交互：

n_widgets = 3
widget_args = {"widget{}".format(i): widgets.IntSlider() for i in range(n_widgets)}

def viewer(**args):
   print([v for v in args.values])

interact(viewer, **widget_args)