import numpy

numpy.__version__

import scipy 

scipy.__version__

import matplotlib

matplotlib.__version__

import sklearn

sklearn.__version__

import numpy as np

X = np.random.random((3, 5))

X

# access the second row
X[1]

Y = np.linspace(0, 12, 5)
Y

Y[:, np.newaxis]

_13.shape

_14.shape

%matplotlib inline

import pylab as plt

x = np.linspace(1, 12, 100)
y = x[:, np.newaxis]

im = x * y

im.shape

plt.imshow(im)
plt.colorbar()

im[-1,-1]

from sklearn.datasets import load_iris

iris = load_iris()

iris.keys()

n_samples, n_features = iris.data.shape

n_samples

n_features

iris.data[0]

iris.target

def plot_iris_projection(x_index, y_index):
    formatter = plt.FuncFormatter(lambda i, *args:iris.target_names[i][:4])
    plt.scatter(iris.data[:, x_index], iris.data[:, y_index], c=iris.target)
    plt.colorbar(ticks=[0, 1, 2], format=formatter)
    plt.xlabel(iris.feature_names[x_index])
    plt.ylabel(iris.feature_names[y_index])

plot_iris_projection(0, 1)

from IPython.html.widgets import interact

def plot_iris_projection_widget(first_index, second_index):
    plot_iris_projection(first_index, second_index)

interact(plot_iris_projection_widget,
         first_index=(0, 3),
         second_index=(0, 3))

plt.figure(figsize=(10, 10))
for i in range(4):
    for j in range(4):
        plt.subplot(4, 4, 4 * i + j + 1)
        plot_iris_projection(i, j)
plt.tight_layout()

digits = sklearn.datasets.load_digits()

digits.keys()

n_samples, n_features = digits.data.shape

n_samples

n_features

digits.data[0]

index = 11
plt.imshow(digits.data[index].reshape((8, 8)), cmap=matplotlib.cm.gray, interpolation='nearest')
print(digits.target_names[digits.target[index]])

%load generate_readme.py


import os
import sys
if sys.version_info >= (3, 0):
    from urllib.parse import quote
else:
    from urllib import quote

def filename2url(filename):
    return "http://nbviewer.ipython.org/urls/raw.github.com/flothesof/posts/master/{0}".format(
                                                                        quote(filename))
if __name__ == "__main__":
    files = os.listdir(os.getcwd())
    files = filter(lambda s: s.endswith('.ipynb'), files)
    
    header = """posts
=====

This is a sort of blog / work in progress repository for interesting projects that pop into my mind.

![files/xkcd_departments.png](files/xkcd_departments.png)

"""
    with open('README.md', 'w') as f:
        f.write(header)
        for index, filename in enumerate(files):
            f.write("- [%i-%s](%s)\n" % (index + 1, 
                                    filename, 
                                    filename2url(filename)))