<commit_before>#aia_mkmovie
Created a module to replace the current version IDL version of aia_mkmovie

#aia_mkimage
Created a module to replace the current version IDL version of aia_mkimage<commit_msg>Added text to README<commit_after>aia_mkmovie
=======================

aia_mkmovie package creates time series movies from SDO/AIA images.  
The creates movie replicates movies created by aia_mkmovie in SSWIDL,
but all image processing comes from python packages.


SETUP
=====

    1. Install the following packages at or above the given levels. All listed
       packages may be installed via pip or conda with many included by default
       in Anaconda.
        a. matplotlib >= 2.0.0
        b. multiprocessing >= 0.70a1
        c. astropy >= 2.0.1
        d. sunpy >= 0.8.1
        e. Tkinter Revision: 81008
        f. pyfits >= 3.4
        g. re >= 2.2.1
    2. Download the lastest aia_mkmovie movie package.
        a. If you are download the package for the first time you have two
           dowlonad options.
            a1. From a terminal type the following:
                git clone https://github.com/jprchlik/aia_mkmovie.git
            OR
            a2. Navigate to https://github.com/jprchlik/aia_mkmovie in a
                webbrowser. Click clone or download. Select download zip.
                Unzip the file locally. 
    3. Install the aia_mkmovie package
        Change directory to the clone directory or the unzipped directory 
        (aia_mkmovie-master). Then type the following command.
        python setup.py install

{'fraction_non_alphanumeric': 0.06670942912123155, 'fraction_numerical': 0.01796023091725465, 'mean_word_length': 2.3986928104575163, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 9, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 4, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '7400849', 'n_tokens_mistral': 469, 'n_tokens_neox': 455, 'n_words': 183}