diff --git a/CHANGELOG.rst b/CHANGELOG.rst
new file mode 100644
index 0000000..c0c5a35
--- /dev/null
+++ b/CHANGELOG.rst
@@ -0,0 +1,4 @@
+v1.0
+----
+- Generated setup files to install package.
+- Bumped version to 1.0 as it's completely operational.
diff --git a/README.rst b/README.rst
index c898a22..f6887b6 100644
--- a/README.rst
+++ b/README.rst
@@ -5,7 +5,7 @@ pc2graph
 General Information
 ~~~~~~~~~~~~~~~~~~~
 
-This is a Python script that converts a numpy.ndarray containing a point cloud
+This is a Python (2.7x) script that converts a numpy.ndarray containing a point cloud
 (x, y, z) into a NetworkX graph.
 
 The code also includes a function to extract shortest path information from a
@@ -19,3 +19,27 @@ and Scientific Development (10.13039/501100003593) – Brazil (Process number 23
 
 Any questions or suggestions, feel free to contact me using one of the
 following e-mails: matheus.boni.vicari@gmail.com or matheus.vicari.15@ucl.ac.uk
+
+
+Installation
+~~~~~~~~~~~~
+
+To install this package use the command:
+
+    .. code-block:: python
+
+        python setup.py install
+
+or:
+
+    .. code-block:: python
+
+        pip install pc2graph
+
+
+
+
+
+
+
+
diff --git a/data/batch/files.txt b/data/batch/files.txt
index c283fb3..e361115 100644
--- a/data/batch/files.txt
+++ b/data/batch/files.txt
@@ -1 +1 @@
-../data/point_cloud_example.txt
+../../data/point_cloud_example.txt
diff --git a/data/test_gif/test.gif b/data/test_gif/test.gif
new file mode 100644
index 0000000..7cd0e89
Binary files /dev/null and b/data/test_gif/test.gif differ
diff --git a/doc/source.gif b/doc/path_creation_example.gif
similarity index 100%
rename from doc/source.gif
rename to doc/path_creation_example.gif
diff --git a/doc/dist.png b/doc/shortest_path_distance.png
similarity index 100%
rename from doc/dist.png
rename to doc/shortest_path_distance.png
diff --git a/pc2graph/__init__.py b/pc2graph/__init__.py
new file mode 100644
index 0000000..555253c
--- /dev/null
+++ b/pc2graph/__init__.py
@@ -0,0 +1,32 @@
+# Copyright (c) 2018-2019, Matheus Boni Vicari, pc2graph
+# All rights reserved.
+#
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU General Public License as published by
+#    the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU General Public License for more details.
+#
+#    You should have received a copy of the GNU General Public License
+#    along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+__author__ = "Matheus Boni Vicari"
+__copyright__ = "Copyright 2018-2019"
+__credits__ = ["Matheus Boni Vicari"]
+__license__ = "GPL3"
+__version__ = "1.0"
+__maintainer__ = "Matheus Boni Vicari"
+__email__ = "matheus.boni.vicari@gmail.com"
+__status__ = "Development"
+
+
+__all__ = ['downsampling', 'shortpath']
+
+import downsampling
+import shortpath
+
diff --git a/pc2graph/downsampling.py b/pc2graph/downsampling.py
index b373590..b7d21d7 100644
--- a/pc2graph/downsampling.py
+++ b/pc2graph/downsampling.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2017, Matheus Boni Vicari, TLSeparation Project
+# Copyright (c) 2018-2019, Matheus Boni Vicari, pc2graph
 # All rights reserved.
 #
 #
@@ -16,10 +16,10 @@
 #    along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
 __author__ = "Matheus Boni Vicari"
-__copyright__ = "Copyright 2017"
+__copyright__ = "Copyright 2018-2019"
 __credits__ = ["Matheus Boni Vicari"]
 __license__ = "GPL3"
-__version__ = "0.1"
+__version__ = "1.0"
 __maintainer__ = "Matheus Boni Vicari"
 __email__ = "matheus.boni.vicari@gmail.com"
 __status__ = "Development"
diff --git a/pc2graph/example_plot_gif.py b/pc2graph/example_plot_gif.py
deleted file mode 100644
index ae42dd5..0000000
--- a/pc2graph/example_plot_gif.py
+++ /dev/null
@@ -1,93 +0,0 @@
-# Copyright (c) 2017, Matheus Boni Vicari, TLSeparation Project
-# All rights reserved.
-#
-#
-#    This program is free software: you can redistribute it and/or modify
-#    it under the terms of the GNU General Public License as published by
-#    the Free Software Foundation, either version 3 of the License, or
-#    (at your option) any later version.
-#
-#    This program is distributed in the hope that it will be useful,
-#    but WITHOUT ANY WARRANTY; without even the implied warranty of
-#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-#    GNU General Public License for more details.
-#
-#    You should have received a copy of the GNU General Public License
-#    along with this program.  If not, see <http://www.gnu.org/licenses/>.
-
-__author__ = "Matheus Boni Vicari"
-__copyright__ = "Copyright 2017"
-__credits__ = ["Matheus Boni Vicari"]
-__license__ = "GPL3"
-__version__ = "0.1"
-__maintainer__ = "Matheus Boni Vicari"
-__email__ = "matheus.boni.vicari@gmail.com"
-__status__ = "Development"
-
-
-from downsampling import downsample_cloud
-from shortpath import array_to_graph
-import numpy as np
-import glob
-import os
-import mayavi.mlab as mlab
-
-
-if __name__ == '__main__':
-    
-    # Setting up where to save the data.
-    out_folder = '../data/test_gif/'
-    out_file = 'test'
-    layer_delay = 2
-   
-    # Setting up parameters to generate the graph.
-    point_cloud = np.loadtxt('../data/point_cloud_example.txt')
-    downsample_dist = 0.05
-    kpairs = 3
-    knn = 100
-    nbr_dist_threshold = downsample_dist * 1.5
-    nbr_dist_threshold_step = 0.03
-    downsample_cloud = downsample_cloud(point_cloud, downsample_dist)
-    
-    # Obtaining base id (lowest point in the cloud).
-    base_id = np.argmin(downsample_cloud[:, 2])
-    
-    # Generating graph with option to return the step_register as True.
-    G, step_register = array_to_graph(downsample_cloud, base_id, kpairs,
-                                      knn, nbr_dist_threshold,
-                                      nbr_dist_threshold_step,
-                                      return_step=True)
-
-
-    # Starts the iterative plotting. This will require the Mayavi package.
-    iteration = 0
-    mlab.figure(bgcolor=(1, 1, 1), fgcolor=(0, 0, 0))
-    mlab.points3d(downsample_cloud[:, 0], downsample_cloud[:, 1],
-                  downsample_cloud[:, 2], color=(0.3, 0.3, 0.3), mode='point')
-    for s in np.unique(step_register):
-        mask = step_register == s
-        mlab.points3d(downsample_cloud[mask, 0], downsample_cloud[mask, 1],
-                      downsample_cloud[mask, 2], color=(1, 0, 0), mode='point')
-        mlab.savefig(out_folder + '%s.png' % iteration)
-        iteration += 1
-    mlab.close()
-
-    # Generating the list of step images to join in a gif later.
-    file_list = glob.glob('%s*.png' % out_folder)
-    file_list = [os.path.basename(f) for f in file_list]
-    list.sort(file_list, key=lambda x: int(os.path.basename(x).split('.png')[0]))
-    with open('%simage_list.txt' % out_folder, 'w') as file:
-        for item in file_list:
-            file.write("%s\n" % item)
-            
-    # Changing directory and using ImageMagik to join all images into a gif.
-    # Then, delets all unnecessary files.In the end, returns to initial
-    # directory.
-    cwd = os.getcwd()
-    os.chdir(out_folder)
-    os.system('convert -loop 0 -delay %s @image_list.txt %s.gif' % (layer_delay, out_file))
-    os.remove('image_list.txt')
-    for f in file_list:
-        os.remove(f)
-    os.chdir(cwd)
-    
\ No newline at end of file
diff --git a/pc2graph/example_batch.py b/pc2graph/examples/example_batch.py
similarity index 93%
rename from pc2graph/example_batch.py
rename to pc2graph/examples/example_batch.py
index 0c7f10a..1a75dad 100644
--- a/pc2graph/example_batch.py
+++ b/pc2graph/examples/example_batch.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2017, Matheus Boni Vicari, TLSeparation Project
+# Copyright (c) 2018-2019, Matheus Boni Vicari, pc2graph
 # All rights reserved.
 #
 #
@@ -16,10 +16,10 @@
 #    along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
 __author__ = "Matheus Boni Vicari"
-__copyright__ = "Copyright 2017"
+__copyright__ = "Copyright 2018-2019"
 __credits__ = ["Matheus Boni Vicari"]
 __license__ = "GPL3"
-__version__ = "0.1"
+__version__ = "1.0"
 __maintainer__ = "Matheus Boni Vicari"
 __email__ = "matheus.boni.vicari@gmail.com"
 __status__ = "Development"
@@ -32,9 +32,9 @@
 
 if __name__ == '__main__':
 
-    # Declaring list of files to process and output folder.
-    filelist = '../data/batch/files.txt'
-    out_folder = '../data/batch/'
+    # Declaring list of files to process and output directory.
+    filelist = '../../data/batch/files.txt'
+    out_dir = '../../data/batch/'
     
     # Declaring downsample size of 10 cm.
     downsample_size = 0.1
@@ -112,4 +112,4 @@
         # Stacking all variables and exporting.
         out_cloud = np.hstack((upscale_cloud, upscale_distance.reshape(-1, 1),
                                diff.reshape(-1, 1)))
-        np.savetxt('%s%s.txt' % (out_folder, fname), out_cloud, fmt='%1.3f')
\ No newline at end of file
+        np.savetxt('%s%s.txt' % (out_dir, fname), out_cloud, fmt='%1.3f')
diff --git a/pc2graph/examples/example_plot_gif.py b/pc2graph/examples/example_plot_gif.py
new file mode 100644
index 0000000..daaa3a4
--- /dev/null
+++ b/pc2graph/examples/example_plot_gif.py
@@ -0,0 +1,99 @@
+# Copyright (c) 2018-2019, Matheus Boni Vicari, pc2graph
+# All rights reserved.
+#
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU General Public License as published by
+#    the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU General Public License for more details.
+#
+#    You should have received a copy of the GNU General Public License
+#    along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+__author__ = "Matheus Boni Vicari"
+__copyright__ = "Copyright 2018-2019"
+__credits__ = ["Matheus Boni Vicari"]
+__license__ = "GPL3"
+__version__ = "1.0"
+__maintainer__ = "Matheus Boni Vicari"
+__email__ = "matheus.boni.vicari@gmail.com"
+__status__ = "Development"
+
+from downsampling import downsample_cloud
+from shortpath import array_to_graph
+import numpy as np
+import glob
+import os
+
+
+
+
+if __name__ == '__main__':
+    
+    try:
+        import mayavi.mlab as mlab
+    
+        # Setting up where to save the data.
+        out_dir = '../../data/test_gif/'
+        out_file = 'test'
+        layer_delay = 2
+       
+        # Setting up parameters to generate the graph.
+        point_cloud = np.loadtxt('../../data/point_cloud_example.txt')
+        downsample_dist = 0.05
+        kpairs = 3
+        knn = 100
+        nbr_dist_threshold = downsample_dist * 1.5
+        nbr_dist_threshold_step = 0.03
+        downsample_cloud = downsample_cloud(point_cloud, downsample_dist)
+        
+        # Obtaining base id (lowest point in the cloud).
+        base_id = np.argmin(downsample_cloud[:, 2])
+        
+        # Generating graph with option to return the step_register as True.
+        G, step_register = array_to_graph(downsample_cloud, base_id, kpairs,
+                                          knn, nbr_dist_threshold,
+                                          nbr_dist_threshold_step,
+                                          return_step=True)
+    
+    
+        # Starts the iterative plotting. This will require the Mayavi package.
+        iteration = 0
+        mlab.figure(bgcolor=(1, 1, 1), fgcolor=(0, 0, 0))
+        mlab.points3d(downsample_cloud[:, 0], downsample_cloud[:, 1],
+                      downsample_cloud[:, 2], color=(0.3, 0.3, 0.3), mode='point')
+        for s in np.unique(step_register):
+            mask = step_register == s
+            mlab.points3d(downsample_cloud[mask, 0], downsample_cloud[mask, 1],
+                          downsample_cloud[mask, 2], color=(1, 0, 0), mode='point')
+            mlab.savefig(out_dir + '%s.png' % iteration)
+            iteration += 1
+        mlab.close()
+    
+        # Generating the list of step images to join in a gif later.
+        file_list = glob.glob('%s*.png' % out_dir)
+        file_list = [os.path.basename(f) for f in file_list]
+        list.sort(file_list, key=lambda x: int(os.path.basename(x).split('.png')[0]))
+        with open('%simage_list.txt' % out_dir, 'w') as file:
+            for item in file_list:
+                file.write("%s\n" % item)
+                
+        # Changing directory and using ImageMagik to join all images into a gif.
+        # Then, delets all unnecessary files.In the end, returns to initial
+        # directory.
+        cwd = os.getcwd()
+        os.chdir(out_dir)
+        os.system('convert -loop 0 -delay %s @image_list.txt %s.gif' % (layer_delay, out_file))
+        os.remove('image_list.txt')
+        for f in file_list:
+            os.remove(f)
+        os.chdir(cwd)
+    
+    except:
+        print('Mayavi not installed, this example cannot run!')
+        
\ No newline at end of file
diff --git a/pc2graph/example_single.py b/pc2graph/examples/example_single.py
similarity index 87%
rename from pc2graph/example_single.py
rename to pc2graph/examples/example_single.py
index cb8d820..0adf33c 100644
--- a/pc2graph/example_single.py
+++ b/pc2graph/examples/example_single.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2017, Matheus Boni Vicari, TLSeparation Project
+# Copyright (c) 2018-2019, Matheus Boni Vicari, pc2graph
 # All rights reserved.
 #
 #
@@ -16,10 +16,10 @@
 #    along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
 __author__ = "Matheus Boni Vicari"
-__copyright__ = "Copyright 2017"
+__copyright__ = "Copyright 2018-2019"
 __credits__ = ["Matheus Boni Vicari"]
 __license__ = "GPL3"
-__version__ = "0.1"
+__version__ = "1.0"
 __maintainer__ = "Matheus Boni Vicari"
 __email__ = "matheus.boni.vicari@gmail.com"
 __status__ = "Development"
@@ -31,7 +31,7 @@
 if __name__ == "__main__":
 
     # Loads point cloud into a numpy.ndarray (n_points x dimensions).
-    point_cloud = np.loadtxt('../data/point_cloud_example.txt')
+    point_cloud = np.loadtxt('../../data/point_cloud_example.txt')
 
     # Growth factor. Each point adds 3 new points to graph.
     kpairs = 3
@@ -64,4 +64,4 @@
     # Preparing output point cloud.
     distance = np.asarray(distance).reshape(-1, 1)
     out_cloud = np.hstack((nodes, distance))
-    np.savetxt('../data/output_point_cloud.txt', out_cloud, fmt='%1.3f')
+    np.savetxt('../../data/output_point_cloud.txt', out_cloud, fmt='%1.3f')
diff --git a/pc2graph/shortpath.py b/pc2graph/shortpath.py
index 6fa44d1..2474f2a 100644
--- a/pc2graph/shortpath.py
+++ b/pc2graph/shortpath.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2017, Matheus Boni Vicari, TLSeparation Project
+# Copyright (c) 2018-2019, Matheus Boni Vicari, pc2graph
 # All rights reserved.
 #
 #
@@ -16,10 +16,10 @@
 #    along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
 __author__ = "Matheus Boni Vicari"
-__copyright__ = "Copyright 2017"
+__copyright__ = "Copyright 2018-2019"
 __credits__ = ["Matheus Boni Vicari"]
 __license__ = "GPL3"
-__version__ = "0.1"
+__version__ = "1.0"
 __maintainer__ = "Matheus Boni Vicari"
 __email__ = "matheus.boni.vicari@gmail.com"
 __status__ = "Development"
diff --git a/setup.py b/setup.py
new file mode 100644
index 0000000..a787300
--- /dev/null
+++ b/setup.py
@@ -0,0 +1,57 @@
+# Copyright (c) 2017, Matheus Boni Vicari, pc2graph
+# All rights reserved.
+#
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU General Public License as published by
+#    the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU General Public License for more details.
+#
+#    You should have received a copy of the GNU General Public License
+#    along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+
+__author__ = "Matheus Boni Vicari"
+__copyright__ = "Copyright 2018-2019, pc2graph"
+__credits__ = ["Matheus Boni Vicari"]
+__license__ = "GPL3"
+__version__ = "1.0"
+__maintainer__ = "Matheus Boni Vicari"
+__email__ = "matheus.boni.vicari@gmail.com"
+__status__ = "Development"
+
+from setuptools import setup, find_packages
+
+
+def readme():
+    with open('README.rst') as f:
+        return f.read()
+
+with open('requirements.txt') as f:
+    required = f.read().splitlines()
+
+setup(
+    name="pc2graph",
+    version="1.0",
+    author='Matheus Boni Vicari',
+    author_email='matheus.boni.vicari@gmail.com',
+    packages=find_packages(),
+    entry_points={
+	},
+    url='https://github.com/mattbv/pc2graph',
+    license='LICENSE.txt',
+    description='Generates a NetworkX graph from\
+ 3D point clouds acquired using Terrestrial LiDAR\
+ Scanners.',
+    long_description=readme(),
+    classifiers=['Programming Language :: Python',
+                 'Topic :: Scientific/Engineering'],
+    keywords='networkx graph shortest path TLS point cloud LiDAR',
+    install_requires=required,
+    # ...
+)