In [1]:

    

import matplotlib.pyplot as plt

import seaborn as sns
sns.set_context('poster')
sns.set_style('whitegrid') 
# sns.set_style('darkgrid') 
plt.rcParams['figure.figsize'] = 12, 8  # plotsize 

import numpy as np
import pandas as pd
from pandas.plotting import scatter_matrix
from sklearn.datasets import load_boston

import warnings
warnings.filterwarnings('ignore')

import matplotlib as mpl


    

In [2]:

    

from IPython.display import YouTubeVideo


    

In [3]:

    

# mixed feelings about this import
import bqplot.pyplot as plt
import numpy as np


    

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YouTubeVideo("uHPcshgTotE", width=560, height=315)


    

    
Out[4]:





        
        

In [5]:

    

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


    

In [6]:

    

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


    

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fig.animation_duration = 500
scatter.y = x**2.5


    

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


    

In [10]:

    

scatter.selected


    

    
Out[10]:





array([16, 17, 18, 19, 20, 21, 22, 23], dtype=uint32)

In [11]:

    

scatter.selected = [1,2,10,42,45]


    

In [12]:

    

import ipyvolume as ipv


    

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


    

In [20]:

    

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


    

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scatter.x = x + np.random.rand() - 0.5


    

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


    

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


    

In [23]:

    

scatter.size = 2


    

In [24]:

    

ex = ipv.datasets.animated_stream.fetch().data


    

In [25]:

    

ex.shape


    

    
Out[25]:





(6, 200, 1250)

In [26]:

    

ex[:, ::, ::4].shape


    

    
Out[26]:





(6, 200, 313)

In [27]:

    

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()
ipv.style.use('light')


    

In [28]:

    

quiver.geo = "cat"


    

In [29]:

    

N = 1000*1000

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


    

In [30]:

    

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


    

In [31]:

    

ipv.save("3d-example-plot.html")


    

In [32]:

    

!open 3d-example-plot.html


    

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