#!/usr/bin/env python
# coding: utf-8

# In[1]:


import numpy as np

# create an array of normally-distributed random numbers
a = np.random.randn(1000)


# In[2]:


import dask.array as da

# create a dask array from the above array
a2 = da.from_array(a, chunks=200)

# multiply this array by a factor
b2 = a2 * 4

# find the minimum value
b2_min = b2.min()
print(b2_min)


# In[3]:


get_ipython().run_line_magic('matplotlib', 'inline')

from dask.dot import dot_graph
dot_graph(b2_min.dask)


# In[4]:


b2_min.dask