%erp5_url http://10.0.87.104:2150/erp5/Base_executeJupyter

%notebook_set_reference wendelin_test_ayush_001

%erp5_user zope

%erp5_password insecure

import numpy as np
from matplotlib import pyplot as plt

plt, np

t = np.arange(0., 5., 0.2)
t

plt.clf()

plt.ylabel('some numbers')
context.Base_displayImage(image_object=plt)

plt.plot(t, t, 'r--', t, t**5, 'bs', t, t**3, 'g^')
context.Base_saveImage(plot=plt, reference='testplot1')
context.Base_displayImage(image_object=plt)

fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)

N = 100
data = np.random.random((N, 7))
x = data[:,0]
y = data[:,1]
points = data[:,2:4]
# color is the length of each vector in `points`
color = np.sqrt((points**2).sum(axis = 1))/np.sqrt(2.0)
rgb = plt.get_cmap('jet')(color)

ax.scatter(x, y, color = rgb)

context.Base_displayImage(image_object=plt)

portal = context.getPortalObject()

portal

image_list = portal.portal_catalog(portal_type='Image', reference='louvre')
image = image_list[0]

print dir(image_list)

%my_notebooks

image_list.tuples()

dir(image)

print image.getURL()

data_array = portal.data_array_module.newContent(portal_type = 'Data Array')
data_array.initArray((3, 3), np.uint8)

persistent_data_array = data_array.getArray()

dir(persistent_data_array)

import pandas as pd

df = pd.DataFrame(persistent_data_array[:])

df

df.plot(title='New Array')

pdplot

context.Base_displayImage(image_object=plt)