In [1]:

    

import ipywidgets as widgets


    

In [2]:

    

slider = widgets.FloatSlider(min=0, max=10, step=0.5)
slider


    

In [3]:

    

text = widgets.FloatText(value=1)
text


    

In [4]:

    

text.value


    

    
Out[4]:





1.0

In [5]:

    

text.value = 5
slider.value = 2


    

In [6]:

    

widgets.jslink((text, 'value'), (slider, 'value'))


    

In [7]:

    

slider.value = 3.0


    

In [8]:

    

import bqplot.pyplot as plt
import numpy as np

x = np.linspace(0, 2, 50)
y = x**2

fig = plt.figure()
scatter = plt.scatter(x, y)
plt.show()


    

In [9]:

    

fig.animation_duration = 500
scatter.y = x**0.5


    

In [10]:

    

scatter.selected_style = {'stroke':'red', 'fill': 'orange'}
plt.brush_selector();


    

In [11]:

    

scatter.selected


    

    
Out[11]:





[]

In [12]:

    

scatter.selected = [1,2,10,40]


    

In [13]:

    

import ipyleaflet
ipyleaflet.Map(center = [48.7142971, 2.209103], zoom = 14)


    

In [14]:

    

_.add_layer(ipyleaflet.ImageOverlay(url='https://jupyter.org//assets/nav_logo.svg', bounds=_.bounds, opacity=0.8))


    

In [15]:

    

import vaex
import numpy as np
np.warnings.filterwarnings('ignore')
dstaxi = vaex.open('nyc_taxi2015.hdf5') # mmapped, doesn't cost extra memory


    

In [16]:

    

dstaxi.plot_widget("pickup_longitude", "pickup_latitude", f="log", backend="ipyleaflet", shape=600)


    

In [18]:

    

dstaxi.plot_widget("dropoff_longitude", "dropoff_latitude", f="log", backend="ipyleaflet",
                   z="dropoff_hour", type="slice", z_shape=24, shape=400, z_relative=True,
                   limits=[None, None, (-0.5, 23.5)])


    

In [19]:

    

ds = vaex.open('helmi-dezeeuw-2000-FeH.hdf5')


    

In [20]:

    

ds.plot_widget("x", "y", f="log", limits=[-20, 20])


    

In [21]:

    

ds.plot_widget("Lz", "E", f="log")


    

In [22]:

    

import ipyvolume as ipv
import numpy as np
np.warnings.filterwarnings('ignore')


    

In [23]:

    

ipv.example_ylm();


    

In [24]:

    

N = 1000
x, y, z = np.random.random((3, N))


    

In [25]:

    

fig = ipv.figure()
scatter = ipv.scatter(x, y, z, marker='box')
ipv.show()


    

In [26]:

    

scatter.x = scatter.x + 0.1


    

In [27]:

    

scatter.color = "green"
scatter.size = 5


    

In [28]:

    

scatter.color = np.random.random((N,3))


    

In [29]:

    

scatter.size = 2


    

In [30]:

    

ipv.figure()
ipv.style.use('dark')
quiver = ipv.quiver(*ipv.datasets.animated_stream.fetch().data[:,::,::4], size=5)
ipv.animation_control(quiver, interval=200)
ipv.show()


    

In [31]:

    

ipv.style.use('light')


    

In [32]:

    

quiver.size = np.random.random(quiver.x.shape) * 10


    

In [33]:

    

quiver.color = np.random.random(quiver.x.shape + (3,))


    

In [34]:

    

quiver.geo = "cat"


    

In [34]:

    

# stereo


    

In [35]:

    

quiver.geo = "arrow"


    

In [36]:

    

N = 1000*1000
x, y, z = np.random.random((3, N)).astype('f4')


    

In [37]:

    

ipv.figure()
s = ipv.scatter(x, y, z, size=0.2)
ipv.show()


    

In [38]:

    

s.size = 0.1


    

In [39]:

    

#ipv.screenshot(width=2048, height=2048)


    

In [40]:

    

plot3d = ds.plot_widget("x", "y", "z", vx="vx", vy="vy", vz="vz",
                        backend="ipyvolume", f="log1p", shape=100, smooth_pre=0.5)


    

In [41]:

    

plot3d.vcount_limits = [70, 100000]


    

In [42]:

    

plot3d.backend.quiver.color = "red"


    

In [43]:

    

import ipywidgets as widgets


    

In [43]:

    

widgets.ColorPicker()


    

In [44]:

    

widgets.jslink((plot3d.backend.quiver, 'color'), (_, 'value'))


    

In [47]:

    

ipv.save("jupyter-day-paris-2018.html")


    

In [ ]:

    

!open jupyter-day-paris-2018.html