ipywidgets floatrangeslider daterangeslider

Question

我尝试在jupyter-notebook中使用来自FloatRangeSlider的{​​{1}}，以便显示日期：

ipywidgets

正确打印

import ipywidgets as widgets
from datetime import datetime

class myd:
    def __init__(self, value_datetime):
        self.value = value_datetime
    def __float__(self):
        return float(self.value.strftime("%s"))
    def __format__(self, format_spec):
        return self.value.strftime("%d.%m.%Y")

# Test
start = myd(datetime(2017,1,1))
end = myd(datetime(2017,10,1))
print(float(start), "{:.1f}".format(start))
print(float(end), "{:.1f}".format(end))

但是，滑块不会显示为：

1483225200.0 01.01.2017
1506808800.0 01.10.2017

显示

但应显示widgets.FloatRangeSlider( value=[start, end], min=start, max=end, step=100, description='Test:', disabled=False, continuous_update=False, orientation='horizontal', readout=True, readout_format='.1f', ) 。

感谢您的帮助。

Answer 1

使用FloatRangeSlider是胡说八道，对某些SelectionRangeSlider更好地使用DataFrame df：

import ipywidgets as widgets

# create slider
dates = list(pd.date_range(df.zeit.min(), df.zeit.max(), freq='D'))
options = [(i.strftime('%d.%m.%Y'), i) for i in dates]
index = (0, len(dates)-1)
myslider = widgets.SelectionRangeSlider(
    options = options,
    index = index,
    description = 'Test',
    orientation = 'horizontal',
    layout={'width': '500px'}
)

def update_source(df, start, end):
    x = df[(df.zeit >= start) & (df.zeit < end)]
    #data = pd.DataFrame(x.groupby('who')['bytes'].sum())
    #data.sort_values(by="bytes", inplace=True)
    #data.reset_index(inplace=True)
    #return data
    return x

def gui(model, bars):
    def myupdate(control1):
        start = control1[0].date()
        end = control1[1].date()
        #display(update_source(model, start, end).head(4))
        data = update_source(model, start, end)
    return myupdate

widgets.interactive(gui(df, x), control1 = myslider)