In [1]:
!du -hs make-lots-of-plots.ipynb
5.4M make-lots-of-plots.ipynb
In [2]:
%pylab inline
Populating the interactive namespace from numpy and matplotlib
In [3]:
figsize(20, 20)
In [4]:
Z = np.random.random((128,128))
plt.pcolor(Z);
In [5]:
Z = np.random.random((128,128))
plt.pcolor(Z);
In [6]:
Z = np.random.random((128,128))
plt.pcolor(Z);
In [7]:
Z = np.random.random((128,128))
plt.pcolor(Z);
In [8]:
Z = np.random.random((128,128))
plt.pcolor(Z);
In [9]:
Z = np.random.random((128,128))
plt.pcolor(Z);
In [10]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[10]:
<matplotlib.collections.PolyCollection at 0x114069c18>
In [11]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[11]:
<matplotlib.collections.PolyCollection at 0x10f6c5390>
In [12]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[12]:
<matplotlib.collections.PolyCollection at 0x113dc45f8>
In [13]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[13]:
<matplotlib.collections.PolyCollection at 0x112d85b70>
In [14]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[14]:
<matplotlib.collections.PolyCollection at 0x113740278>
In [15]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[15]:
<matplotlib.collections.PolyCollection at 0x11b7c9860>
In [16]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[16]:
<matplotlib.collections.PolyCollection at 0x11d7c9438>
In [17]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[17]:
<matplotlib.collections.PolyCollection at 0x11f61a9b0>
In [18]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[18]:
<matplotlib.collections.PolyCollection at 0x1214ff5f8>
In [19]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[19]:
<matplotlib.collections.PolyCollection at 0x1234218d0>
In [20]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[20]:
<matplotlib.collections.PolyCollection at 0x12545ae48>
In [21]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[21]:
<matplotlib.collections.PolyCollection at 0x127277208>
In [22]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[22]:
<matplotlib.collections.PolyCollection at 0x129297668>
In [23]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[23]:
<matplotlib.collections.PolyCollection at 0x12b1b3cf8>
In [24]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[24]:
<matplotlib.collections.PolyCollection at 0x12cfcb7b8>
In [25]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[25]:
<matplotlib.collections.PolyCollection at 0x12f02c5f8>
In [26]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[26]:
<matplotlib.collections.PolyCollection at 0x12faddb70>
In [27]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[27]:
<matplotlib.collections.PolyCollection at 0x132e6a128>
In [28]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[28]:
<matplotlib.collections.PolyCollection at 0x134d88588>
In [29]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[29]:
<matplotlib.collections.PolyCollection at 0x136c9ae48>
In [30]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[30]:
<matplotlib.collections.PolyCollection at 0x138bbe400>
In [31]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[31]:
<matplotlib.collections.PolyCollection at 0x13aad9978>
In [32]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[32]:
<matplotlib.collections.PolyCollection at 0x13c9f7ef0>
In [33]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[33]:
<matplotlib.collections.PolyCollection at 0x13e91a4a8>
In [34]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[34]:
<matplotlib.collections.PolyCollection at 0x14084fc18>
In [35]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[35]:
<matplotlib.collections.PolyCollection at 0x1428740b8>
In [36]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[36]:
<matplotlib.collections.PolyCollection at 0x14468f748>
In [37]:
Z = np.random.random((128,128))
plt.pcolor(Z)
Out[37]:
<matplotlib.collections.PolyCollection at 0x1450c2cc0>
