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Python ipywidgets.interactive方法代碼示例

本文整理匯總了Python中ipywidgets.interactive方法的典型用法代碼示例。如果您正苦於以下問題:Python ipywidgets.interactive方法的具體用法?Python ipywidgets.interactive怎麽用?Python ipywidgets.interactive使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在ipywidgets的用法示例。


在下文中一共展示了ipywidgets.interactive方法的9個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: _interact_frequency

# 需要導入模塊: import ipywidgets [as 別名]
# 或者: from ipywidgets import interactive [as 別名]
def _interact_frequency(self,freq_val,min_freq=87.5,max_freq=108,freq_step=0.2):
        '''
        Sets up tuning frequency slider widget for Mono FM Example
        '''
        self.slider = FloatSlider(
            value=freq_val,
            min=min_freq,
            max=max_freq,
            step=freq_step,
            description=r'$f_c\;$',
            continuous_update=False,
            orientation='horizontal',
            readout_format='0.1f',
            layout=Layout(
                width='90%',
            ) 
        )
        self.slider.style.handle_color = 'lightblue'

        self.center_freq_widget = interactive(self.set_fc_mhz, fc = self.slider)
        display(self.center_freq_widget) 
開發者ID:mwickert,項目名稱:scikit-dsp-comm,代碼行數:23,代碼來源:rtlsdr_helper.py

示例2: _interact_audio_gain

# 需要導入模塊: import ipywidgets [as 別名]
# 或者: from ipywidgets import interactive [as 別名]
def _interact_audio_gain(self,gain_val=0,min_gain=-60,max_gain=6,gain_step=0.1):
        '''
        Sets up audio gain slider widget for Mono FM Example
        '''
        self.gain_slider = FloatSlider(
            value=gain_val,
            min=min_gain,
            max=max_gain,
            step=gain_step,
            description='Gain (dB)',
            continuous_update=True,
            orientation='horizontal',
            readout_format='0.1f',
            layout=Layout(
                width='90%',
            )
        )
        self.gain_slider.style.handle_color = 'lightgreen'

        self.audio_gain_widget = interactive(self.set_audio_gain_db,gain=self.gain_slider)
        display(self.audio_gain_widget) 
開發者ID:mwickert,項目名稱:scikit-dsp-comm,代碼行數:23,代碼來源:rtlsdr_helper.py

示例3: _widgets

# 需要導入模塊: import ipywidgets [as 別名]
# 或者: from ipywidgets import interactive [as 別名]
def _widgets(self):
        dfrange = self.varr.range('frame')
        w_frame = iwgt.IntSlider(
            value=0,
            min=dfrange[0],
            max=dfrange[1],
            continuous_update=False,
            description="Frame:")
        w_paly = iwgt.Play(
            value=0,
            min=dfrange[0],
            max=dfrange[1],
            interval=1000 / self.framerate)
        iwgt.jslink((w_paly, 'value'), (w_frame, 'value'))
        iwgt.interactive(self.stream.event, f=w_frame)
        return iwgt.HBox([w_paly, w_frame]) 
開發者ID:DeniseCaiLab,項目名稱:minian,代碼行數:18,代碼來源:visualization.py

示例4: _widgets

# 需要導入模塊: import ipywidgets [as 別名]
# 或者: from ipywidgets import interactive [as 別名]
def _widgets(self):
        dfrange = self.ds.range('frame')
        w_frame = iwgt.IntSlider(
            value=0,
            min=dfrange[0],
            max=dfrange[1],
            continuous_update=False,
            description="Frame:")
        w_paly = iwgt.Play(
            value=0,
            min=dfrange[0],
            max=dfrange[1],
            interval=1000 / self.framerate)
        iwgt.jslink((w_paly, 'value'), (w_frame, 'value'))
        iwgt.interactive(self.stream.event, f=w_frame)
        return iwgt.HBox([w_paly, w_frame]) 
開發者ID:DeniseCaiLab,項目名稱:minian,代碼行數:18,代碼來源:visualization_ply.py

示例5: interactive

# 需要導入模塊: import ipywidgets [as 別名]
# 或者: from ipywidgets import interactive [as 別名]
def interactive( animation, size = 320 ):
	basedir = mkdtemp()
	basename = join( basedir, 'graph' )
	steps = [ Image( path ) for path in render( animation.graphs(), basename, 'png', size ) ]
	rmtree( basedir )
	slider = widgets.IntSlider( min = 0, max = len( steps ) - 1, step = 1, value = 0 )
	return widgets.interactive( lambda n: display(steps[ n ]), n = slider ) 
開發者ID:mapio,項目名稱:GraphvizAnim,代碼行數:9,代碼來源:jupyter.py

示例6: interactive_FM_Rx

# 需要導入模塊: import ipywidgets [as 別名]
# 或者: from ipywidgets import interactive [as 別名]
def interactive_FM_Rx(self,fc=103.9e6,gain=40,audio_out=1,audio_buffsize=4096,audio_fs=48000):
        '''
        Sets up interactive mono FM example
        '''
        self.set_fs(2.4e6)
        self.set_fc(fc)
        self.set_gain(gain)
        self.set_audio_in(0)
        self.set_audio_out(audio_out)
        self.set_audio_buffsize(audio_buffsize)
        self.set_audio_fs(audio_fs)
        self.togglebutts = ToggleButtons(
            options=['Start Streaming', 'Stop Streaming'],
            description = ' ',
            value = 'Stop Streaming',
        )
        self.togglebutts.style.button_width = "400px"
        self.togglebutts.style.description_width = "1px"

        self.play = interactive(self._interaction, Stream = self.togglebutts)

        title = widgets.Output()
        title.append_stdout("Interactive FM Receiver")
        display(title)
        display(self.play)
        self._interact_audio_gain()
        self._interact_frequency(self.fc/1e6) 
開發者ID:mwickert,項目名稱:scikit-dsp-comm,代碼行數:29,代碼來源:rtlsdr_helper.py

示例7: interactive_stream

# 需要導入模塊: import ipywidgets [as 別名]
# 或者: from ipywidgets import interactive [as 別名]
def interactive_stream(self,Tsec = 2, numChan = 1):
        """
        Stream audio with start and stop radio buttons
        
        Interactive stream is designed for streaming audio through this object using
        a callback function. This stream is threaded, so it can be used with ipywidgets.
        Click on the "Start Streaming" button to start streaming and click on "Stop Streaming"
        button to stop streaming.

        Parameters
        ----------

        Tsec : stream time in seconds if Tsec > 0. If Tsec = 0, then stream goes to infinite 
        mode. When in infinite mode, the "Stop Streaming" radio button or Tsec.stop() can be 
        used to stop the stream.
        
        numChan : number of channels. Use 1 for mono and 2 for stereo.
        
        
        """
        self.Tsec = Tsec
        self.numChan = numChan
        self.interactiveFG = 1
        self.play = interactive(self.interaction,Stream = ToggleButtons(
                                options=['Start Streaming', 'Stop Streaming'],
                                description = ' ',
                                value = 'Stop Streaming') )
        display(self.play) 
開發者ID:mwickert,項目名稱:scikit-dsp-comm,代碼行數:30,代碼來源:pyaudio_helper.py

示例8: ipy_plot_interactive_annotate

# 需要導入模塊: import ipywidgets [as 別名]
# 或者: from ipywidgets import interactive [as 別名]
def ipy_plot_interactive_annotate(df, ind, opacity=.3):
    import plotly.graph_objs as go
    from ipywidgets import interactive
    if 'labels' in df.columns:
        text = [f'Class {k}: index {i}' for i,k in zip(df.index, df.labels)] # hovertext
    else:
        text = [f'index {i}' for i in df.index] # hovertext
    xaxis, yaxis = df.columns[0], df.columns[1]
    scatter = go.Scattergl(x=df[xaxis], 
                           y=df[yaxis], 
                           mode='markers',
                           text=text,
                           marker=dict(size=2,
                                       opacity=opacity,
                                       ))
    sub = df.loc[ind]
    text = [f'{k}){i}' for i,k in zip(sub.index, sub.labels)]
    scatter2 = go.Scatter(x=sub[xaxis],
                            y=sub[yaxis],
                            mode='markers+text',
                            text=text,
                            textposition="top center",
                            textfont=dict(size=9,color='black'),
                            marker=dict(size=5,color='black'))
    f = go.FigureWidget([scatter,scatter2])
    f.update_layout(xaxis_title=xaxis, yaxis_title=yaxis)
    
    def update_axes(xaxis, yaxis, color_by, colorscale):
        scatter = f.data[0]
        scatter.x = df[xaxis]
        scatter.y = df[yaxis]
        
        scatter.marker.colorscale = colorscale
        if colorscale is None:
            scatter.marker.color = None
        else:
            scatter.marker.color = df[color_by] if color_by != 'index' else df.index
    
        scatter2 = f.data[1]
        scatter2.x = sub[xaxis]
        scatter2.y = sub[yaxis]
        with f.batch_update(): # what is this for??
            f.layout.xaxis.title = xaxis
            f.layout.yaxis.title = yaxis
        
    widget = interactive(update_axes, 
                    yaxis = df.select_dtypes('number').columns, 
                    xaxis = df.select_dtypes('number').columns,
                    color_by = df.columns,
                    colorscale = [None,'hsv','plotly3','deep','portland','picnic','armyrose'])
    return widget, f 
開發者ID:zhonge,項目名稱:cryodrgn,代碼行數:53,代碼來源:analysis.py

示例9: ipy_plot_interactive

# 需要導入模塊: import ipywidgets [as 別名]
# 或者: from ipywidgets import interactive [as 別名]
def ipy_plot_interactive(df, opacity=.3):
    import plotly.graph_objs as go
    from ipywidgets import interactive
    if 'labels' in df.columns:
        text = [f'Class {k}: index {i}' for i,k in zip(df.index, df.labels)] # hovertext
    else:
        text = [f'index {i}' for i in df.index] # hovertext
    
    xaxis, yaxis = df.columns[0], df.columns[1]
    f = go.FigureWidget([go.Scattergl(x=df[xaxis],
                                  y=df[yaxis],
                                  mode='markers',
                                  text=text,
                                  marker=dict(size=2,
                                              opacity=opacity,
                                              color=np.arange(len(df)),
                                              colorscale='hsv'
                                             ))])
    scatter = f.data[0]
    N = len(df)
    f.update_layout(xaxis_title=xaxis, yaxis_title=yaxis)
    f.layout.dragmode = 'lasso'

    def update_axes(xaxis, yaxis, color_by, colorscale):
        scatter = f.data[0]
        scatter.x = df[xaxis]
        scatter.y = df[yaxis]
        
        scatter.marker.colorscale = colorscale
        if colorscale is None:
            scatter.marker.color = None
        else:
            scatter.marker.color = df[color_by] if color_by != 'index' else df.index
        with f.batch_update(): # what is this for??
            f.layout.xaxis.title = xaxis
            f.layout.yaxis.title = yaxis
 
    widget = interactive(update_axes, 
                         yaxis=df.select_dtypes('number').columns, 
                         xaxis=df.select_dtypes('number').columns,
                         color_by = df.columns,
                         colorscale = [None,'hsv','plotly3','deep','portland','picnic','armyrose'])

    t = go.FigureWidget([go.Table(
                        header=dict(values=['index']),
                        cells=dict(values=[df.index]),
                        )])

    def selection_fn(trace, points, selector):
        t.data[0].cells.values = [df.loc[points.point_inds].index]

    scatter.on_selection(selection_fn)
    return widget, f, t 
開發者ID:zhonge,項目名稱:cryodrgn,代碼行數:55,代碼來源:analysis.py


注:本文中的ipywidgets.interactive方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉載。