$ sudo port install py27-matplotlib +gtk2 But on Mac OS X 10.9.1 it seems there is a bug which I receive this error: Error: Dependency 'py27-pyobjc' not found.:- Computing dependencies for py27-matplotlib Error: Dependency 'py27-pyobjc' not found. The official home of the Python Programming Language. PSF Distinguished Service Awards. Matplotlib.John began the matplotlib project in 2002 while studying epilepsy seizure data in a postdoctoral program at the University of Chicago. Unhappy with the state of proprietary solutions needed for his studies, John chose Python to build an open solution to his problem. Mar 19, 2019.
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I. What is MatplotLib and BaseMaps
Matplotlib and BaseMaps are python libraries used to display and manipulate data. MatplotLib is the basic package which allows the programmer to create graphs and plots in 2D and 3D (includining animation). The BaseMaps extension adds the additional capabilities to display data overlayed onto a 2D map or 3D globe. The combination of the two allows anyone with familiarity with python a quick and easy way to create analysis tools oor even just some quick visualizations.
https://dynamicsnew679.weebly.com/download-apple-photos-for-mac.html. II. Easiest Install
The easiest way to install both MatPlotLib and BaseMaps is to use DarwinPorts (http://darwinports.com/) or Fink(http://www.finkproject.org/).These applications are 'package managers' that will allow you to be able to download all sorts of free software packages for the Mac. You can install either or both applications (the available packages overlap quite a bit).
For Fink, you can install matplotlib and basemaps by running:
For DarwinPorts you can install by using this command:
In either case, this should install everything needed in order to use the python libraries. To test it, use the example presented below in this document.
This is by far the simplest method of installation. Manual installation isn't difficult but certainly takes a little longer.
III. Installing MatplotLib
If you want to do this a little more hands on, it's not much more difficult. First, you'll need to download four dmg files:
- Python 2.7.3:
- http://www.python.org/ftp/python/2.7.3/python-2.7.3-macosx10.3.dmg
- Numpy:
- http://sourceforge.net/projects/numpy/files/NumPy/1.6.2/numpy-1.6.2-py2.7-python .org-macosx10.3.dmg/download
- SciPy:
- http://sourceforge.net/projects/scipy/files/scipy/0.11.0/scipy-0.11.0-py2.7-pyth on.org-macosx10.3.dmg/download
- Matplotlib:
Install Python first. Then install Numpy and SciPy. Lastly, install Matplotlib. These are all dmg’s so they should automatically install everything. The installation will be done in the directory:
You will then need to set up your environment variables (.cshrc file for instance):
Once everything is installed, create a new python script, cut and paste one of their examples into it, then try to run it. Here is the one I used:
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = Axes3D(fig)
for c, z in zip(['r', 'g', 'b', 'y'], [30, 20, 10, 0]):
xs = np.arange(20)
ys = np.random.rand(20)
ax.bar(xs, ys, zs=z, zdir='y', color=c, alpha=0.8)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
plt.show()
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = Axes3D(fig)
for c, z in zip(['r', 'g', 'b', 'y'], [30, 20, 10, 0]):
xs = np.arange(20)
ys = np.random.rand(20)
ax.bar(xs, ys, zs=z, zdir='y', color=c, alpha=0.8)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
plt.show()
This should display a 3D bar graph using transparency and multiple colors.
IV. Installing BaseMaps From Source
This gets a little trickier. There is no pre-built dmg file for installation, so this has to be downloaded and built.
First, get the source from here: http://sourceforge.net/projects/matplotlib/files/matplotlib-toolkits/basemap-0.9 9.4/basemap-0.99.4.tar.gz/download
The size is about 100MB, but almost all of that is taken up by map data. Extract the source, then open a temrinal and navigate to the directory.
Before BaseMaps can be built, the GEOS library (nothing to do with the GEOS model) needs to be built. To do so, navigate to the GEOS directory and run configure like so: ./configure --prefix=some/path. After that, you run make and make install. This will create the GEOS libraries.
When the libraries are created, you will need to create a GEOS_DIR environment variable. The GEOS_DIR environemnt variable should match whatever path you used for the prefix when you ran configure. After the environment variable has been created, do a source or whatever action is required to make sure the variable is there.
Now you can go back to the root BaseMap directory and install BaseMaps. To do so, use the command: python setup.py install. This will finish the build process and install the necessary files and libraries to use BaseMaps. To test the installation, you can navigate to the exampless directory and run a few of them.
V. Installing BaseMaps From Binary Distribution
The setup.py script in BaseMaps gives an option to create a binary distribution. While this is not a self-installing dmg file, it creates a tarball with all the correct folder heirarchy and files for distribution. If you have a binary distribution, installation is easy. Extract the archive and then use cp -R to copy the folder to the root directory.
VI. Installing Python Image Library (PIL)
This is an optional package but may be necessary depending on whether or not you use certain image sources (see the bluemarble example in BaseMaps).
Again, no binary distribution is available for the Mac so you'll need to build from source. Worse, the actual build fails on the Mac (but it can be worked around).
You can get the source here: http://effbot.org/downloads/Imaging-1.1.7.tar.gz
Extract the source. In a terminal window, navigate to the image library directory. Run python setup.py install. This will most likely fail. The failure arises from the script, which tries to build libraries for both PPC and Intel based machines. Unless you've explicitly installed PPC versions of the required libraries, the python script will fail.
The workaround is simple. There is only one file that this fails on. Copy the failed buid lines beginning with gcc, then paste them on the commandline. After that, go back and delete the -arch ppc part off the command. Once the file builds, re-run the the setup.py script. This should successfully build and instal the library.
To ensure that it installed correctly, you can go to the BaseMaps example directory and try running the bluemarble or warpimage examples.
This post describes how to install IPython on a Mac OS X, Mountain Lion. Step by step, it explains how to install Python, Homebrew, Virtualenv, IPython, IPython Notebook and some useful libraries like Matplotlib.
Do you want to install IPython on Mac OS X? Check out this tutorial! http://t.co/Di3Wd3pd5k#python
— Marina Mele (@Marina_Mele) February 5, 2014
— Marina Mele (@Marina_Mele) February 5, 2014
Mac OS X comes with Python 2.7 already installed, that can be used for learning but which might be out of date. Therefore, in this post we will explain how to install the real version of Python as well, which is better for developing.
Install XCode
Go to the Apple Store and download the free version of XCode. Lightshot free download for mac.
Once installed, launch the application from the Launchpad menu.
In the upper menu go to Xcode –> preferences…, or alternatively use the shortcut cmd+,.
Once in the preferences window go to the Downloads tab and install the Command Line Tools, which is in the Components section. To install it you just need to click in the right arrow.
Install Homebrew
To download and install Homebrew you need to run the following command in the Terminal:
$ ruby -e “$(curl -fsSL https://raw.github.com/mxcl/homebrew/go)”
Install Python 2.7
Now it’s very easy to install Python! just write the following in your Terminal:
$ brew install python
Unfortunately, when we run python on the Terminal, we will still be using the preinstalled Python that comes with Mac OS X. We need to change the path to point to the new version of Python.
Open (or create if you don’t have it yet) the file ~/.profile and write the following lines in it:
PATH=/usr/local/bin:/usr/local/share/python:$PATH
export PATH
export PATH
The good thing about installing Python with Homebrew is that you also install pip and Distribute, which extend the packaging and installation facilities provided by the distutils in the standard library.
Virtual Environment
Download netbeans for mac 2019. A good practice is to use a virtual environment to have all the packages that you are using for one project in the same folder. It is more easy to share and maintain.
To install Virtualenv:
$ sudo pip install virtualenv
Let us create a new virtual enviroment, called envipython
Lexmark x1290 mac driver download. $ virtualenv envipython
which will create the folder envipython. To activate this environment:
$ source envipython/bin/activate
Note that the command line has changed to somehting like (envipython)$. Ftp download mac 10.13.5.
From now on, we will install the packages using this virtual environment. If you don’t want to use a virtual environment, you can install them in your machine with the same command lines.
Install IPython and IPython Notebook
Finally, in order to install IPython we run the following command in the Terminal:
$ pip install ipython
IPython comes with a very nice web-based notebook environment, which allows you to run python scripts in a similar way as with Mathematica or Matlab.
To install it, you will need to add the following libraries:
$ brew install freetype
$ brew install libpng
$ pip install readline
$ pip install tornado
$ brew install zeromq –universal
$ pip install pyzmq
$ pip install pygments
$ brew install pyqt
$ pip install jinja2
$ brew install libpng
$ pip install readline
$ pip install tornado
$ brew install zeromq –universal
$ pip install pyzmq
$ pip install pygments
$ brew install pyqt
$ pip install jinja2
And that’s it! To run your IPython Notebook you only need:
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$ ipython notebook
If you also want to install MathJax, which is an open source JavaScript display engine for mathematics, you need to enter to the IPython shell and type the following:
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$ ipython
In [1]: from IPython.external.mathjax import install_mathjax
In [2]: install_mathjax()
In [1]: from IPython.external.mathjax import install_mathjax
In [2]: install_mathjax()
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Optional Science Packages
If you also want to install numpy or scipy you should install first gfortran.$ brew install gfortranAnd then, just use pip to install the packages:
$ pip install numpy
$ pip install scipy
$ pip install scipy
For Matplotlib you also have to install the library pkg-config (which in my case, it was already installed). Moreover, you might want to install ffmpeg, which allows to save movies using matplotlib.animation library.
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$ brew install pkg-config
$ brew install ffmpeg
$ pip install matplotlib
$ brew install ffmpeg
$ pip install matplotlib
Whohaaa!! that was a little bit of installation!?! Hope it also worked for you! ?