ipywidgets floatrangeslider daterangeslider

Question

我想在一个jupyter-笔记本使用FloatRangeSlider从ipywidgets使得日期显示：

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)) 

其正确打印

1483225200.0 01.01.2017 
1506808800.0 01.10.2017 

然而，滑块不显示如假设：

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', 
) 

它显示

但应显示01.01.2017 - 01.10.2017。

感谢您的任何帮助。

Answer 1

这是废话使用FloatRangeSlider，更好地利用SelectionRangeSlider一些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)