def create_filter(self, field: str) -> None:
big_boxes = []
dtype = self.df[field].dtype.name
if 'float' in dtype:
slider = FloatSlider
slide = slider(min=self.df[field].min(),
max=self.df[field].max(),
step=0.001)
elif 'int' in dtype:
slider = IntSlider
slide = slider(
min=self.df[field].min(),
max=self.df[field].max(),
)
else:
print(f"filter of {dtype} not supported")
slider = SelectionSlider
slide = slider(options=sorted(map(str, set(list(self.df[field])))))
btn = Button(description="Run Filter")
btn.on_click(self.execute_filter)
print(f"NaN count: {(self.df[field].isna()).sum()}")
widget = VBox([
Label(f"Range for {field}"),
Dropdown(options=[
"Larger Than or equal to", "Smaller Than or equal to"
]), slide,
Checkbox(description="Remove NaN", value=True), btn
])
self.widget = widget
widget.original_name = field
display(widget)
