def modify_doc(doc):
df = sea_surface_temperature.copy()
source = ColumnDataSource(data=df)
plot = figure(x_axis_type='datetime', y_range=(0, 25), y_axis_label='Temperature (Celsius)',
title="Sea Surface Temperature at 43.18, -70.43")
plot.line('time', 'temperature', source=source)
def callback(attr, old, new):
if new == 0:
data = df
else:
data = df.rolling('{0}D'.format(new)).mean()
source.data = ColumnDataSource(data=data).data
slider = Slider(start=0, end=30, value=0, step=1, title="Smoothing by N Days")
slider.on_change('value', callback)
doc.add_root(column(slider, plot))
# doc.theme = Theme(filename="theme.yaml")
python类Slider()的实例源码
def setup_dashboard(self):
output_notebook()
x = [0, 1, 1, 2, 2, 3, 3, 4]
y = 8*[10 ** -7]
source = ColumnDataSource(data=dict(x=x, y=y))
plot = figure(plot_width=300, plot_height=150, y_axis_type="log", y_range=[0.0000000001, 1], x_range=[0, 4],
x_axis_label='Epoch', y_axis_label='Learning Rate')
plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6)
learn_inputs = 4 * [3]
base_code = """
var data = source.data;
var f = cb_obj.value
x = data['x']
y = data['y']
y[{}] = Math.pow(10.0, -1.0 * (10-f))
y[{}] = Math.pow(10.0, -1.0 * (10-f))
source.trigger('change');
var command = 'dashboard.learn_inputs[{}] = ' + f;
var kernel = IPython.notebook.kernel;
kernel.execute(command)
"""
# set up figure
fig = figure(name="cost", y_axis_label="Cost", x_range=(0, 4),
x_axis_label="Epoch", plot_width=300, plot_height=300)
self.fig = fig
train_source = ColumnDataSource(data=dict(x=[], y=[]))
train_cost = fig.line('x', 'y', source=train_source)
self.train_source = train_source
val_source = ColumnDataSource(data=dict(x=[], y=[]))
val_cost = fig.line('x', 'y', source=val_source, color='red')
self.val_source = val_source
# set up sliders and callback
callbacks = [CustomJS(args=dict(source=source), code=base_code.format(k, k+1, k/2)) for k in [0, 2, 4, 6]]
slider = [Slider(start=0.1, end=10, value=3, step=.1, title=None, callback=C, orientation='vertical', width=80, height=50) for C in callbacks]
radio_group = RadioGroup(labels=[""], active=0, width=65)
def train_model_button(run=True):
train_model(slider, fig=fig, handle=fh, train_source=train_source, val_source=val_source)
sliders = row(radio_group, slider[0], slider[1], slider[2], slider[3])
settings = column(plot, sliders)
layout = gridplot([[settings, fig]], sizing_mode='fixed', merge_tools=True, toolbar_location=None)
self.fh = show(layout, notebook_handle=True)
def modify_doc(doc):
data_url = "http://www.neracoos.org/erddap/tabledap/B01_sbe37_all.csvp?time,temperature&depth=1&temperature_qc=0&time>=2016-02-15&time<=2017-03-22"
df = pd.read_csv(data_url, parse_dates=True, index_col=0)
df = df.rename(columns={'temperature (celsius)': 'temperature'})
df.index.name = 'time'
source = ColumnDataSource(data=df)
plot = figure(x_axis_type='datetime', y_range=(0, 25), y_axis_label='Temperature (Celsius)',
title="Sea Surface Temperature at 43.18, -70.43")
plot.line('time', 'temperature', source=source)
def callback(attr, old, new):
if new == 0:
data = df
else:
data = df.rolling('{0}D'.format(new)).mean()
source.data = ColumnDataSource(data=data).data
slider = Slider(start=0, end=30, value=0, step=1, title="Smoothing by N Days")
slider.on_change('value', callback)
doc.add_root(column(slider, plot))
doc.theme = Theme(json=yaml.load("""
attrs:
Figure:
background_fill_color: "#DDDDDD"
outline_line_color: white
toolbar_location: above
height: 500
width: 800
Grid:
grid_line_dash: [6, 4]
grid_line_color: white
"""))