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        "author": "U\u011fur \u00c7ayo\u011flu",
        "author_email": "urcyglu@gmail.com",
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        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
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            "Natural Language :: English",
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        "description": "justplot\r\n========\r\n\r\nA thin wrapper around matplotlib, which lets you save figure and axes\r\nsettings for plot reuse.\r\n\r\nHow to install the module\r\n-------------------------\r\n\r\n``pip`` with ``--pre`` as option cause this is still an alpha build.\r\n\r\n::\r\n\r\n    python3.4 -m pip install justplot --pre\r\n\r\n-- or --\r\n\r\n::\r\n\r\n    git clone https://github.com/OnionNinja/justplot\r\n    cd justplot\r\n    python3.4 setup.py install\r\n\r\nHow to use the module [STRIKEOUT:(as intended)]\r\n-----------------------------------------------\r\n\r\nTL;DR\r\n^^^^^\r\n\r\n.. code:: python\r\n\r\n    from justplot import justplot as jp\r\n    import numpy\r\n\r\n    lat = np.asarray([-90,-60,-30,0,30,60,90])\r\n    lon = np.asarray([-180,-150,-120,-90,-60,-30,0,30,60,90,120,150,180])\r\n    lat,lon = np.meshgrid(lat, lon)\r\n    temp = np.random.randint(10,35,(13,7))\r\n    wind = np.random.randint(100,300,(13,7))\r\n\r\n    awesome = jp.JustPlot(\r\n        title = \"Where is it hot?\",\r\n        xlabel = \"Latitude\",\r\n        ylabel = \"Longitude\",\r\n        # add more options here\r\n    )\r\n    awesome.add_contourf(lat,lon,temp,ylabel=\"Temperature (K)\", colorbar=True)\r\n    awesome.save(\"Sun.pdf\",\"pdf\")\r\n\r\n    windy = awesome.copy()\r\n    windy(title=\"A little bit windy don't ya think?\")\r\n    windy.add_contour(lat,lon,wind,ylabel=\"Wind\")\r\n    windy.save(\"Wind.pdf\",\"pdf\")\r\n\r\nUsage\r\n^^^^^\r\n\r\nLet's say we have some data we want to plot (suprise!). As an example I\r\nwill use a small data set from\r\n`ucar <https://www.unidata.ucar.edu/software/netcdf/examples/sresa1b_ncar_ccsm3-example.nc>`__.\r\n\r\nFirst off we have to load the data.\r\n\r\n.. code:: python\r\n\r\n    import xarray\r\n    import numpy as np\r\n\r\n    data = xarray.open_dataset('sresa1b_ncar_ccsm3-example.nc', decode_times=False) #pretty cryptic, I know\r\n    lat = data.lat.data\r\n    lon = data.lon.data\r\n    temp = data.tas.data[0,:,:]\r\n    wind = data.ua.data[0,4,:,:]\r\n    xlat,xlon = np.meshgrid(lon,lat)\r\n\r\nLet's build the figure and axes settings first.\r\n\r\n.. code:: python\r\n\r\n    from justplot import justplot as jp\r\n\r\n    blueprint = jp.JustPlot(\r\n        title = \"Where is it hot?\",\r\n        ylabel = \"Latitude\",\r\n        xlabel = \"Longitude\",\r\n        # add more options here\r\n    )\r\n\r\nNow we can add the actual plot.\r\n\r\n.. code:: python\r\n\r\n    blueprint.add_contourf(xlat,xlon,temp,label=\"Temperature\")\r\n    blueprint.save('blueprint-1.png','png')\r\n\r\n.. image:: https://raw.githubusercontent.com/OnionNinja/justplot/master/example/blueprint-1.png\r\n\r\nThe title is strange and too small. Additionally the both Axes could use\r\nsome more ticks. So let's change that.\r\n\r\n.. code:: python\r\n\r\n    from matplotlib.ticker import AutoMinorLocator\r\n    blueprint(title={\"label\":\"World Temperature\",\"fontsize\":19},\r\n              xticks=np.arange(0,361,30),\r\n              yticks=np.arange(-90,91,30),\r\n              xminor=AutoMinorLocator(3),\r\n              yminor=AutoMinorLocator(3),\r\n    )\r\n    blueprint.save(\"blueprint-2.png\",'png')\r\n\r\n    Basemap support will be added further down the road. It is on\r\n    [STRIKEOUT:my] **our** to do list. You can quote me on that.\r\n\r\n.. image:: https://raw.githubusercontent.com/OnionNinja/justplot/master/example/blueprint-2.png\r\n\r\nGood enough. Now pretend that you like this plot sooo much that you want\r\nall your future plots to look like it. For example the one for Wind.\r\nLet's do that.\r\n\r\n.. code:: python\r\n\r\n    windy = blueprint.copy()\r\n    windy(title={\"label\":\"Wind\",\"fontsize\":19})\r\n    windy.add_contour(xlat,xlon,wind,label=\"Wind\")\r\n    windy.save(\"windy.png\",\"png\")\r\n\r\n.. image:: https://raw.githubusercontent.com/OnionNinja/justplot/master/example/windy.png\r\n\r\nLet's put all this together.\r\n\r\n.. code:: python\r\n\r\n    both = windy.copy()\r\n    both(title={\"label\":\"World Temperature + Wind\",\"fontsize\":19})\r\n    both.add_contourf(xlat,xlon,temp,label=\"Temperature\")\r\n    both.add_contour(xlat,xlon,wind,label=\"Wind\",colors=('k'))\r\n    blueprint.save(\"both.png\",\"png\")\r\n\r\n.. image:: https://raw.githubusercontent.com/OnionNinja/justplot/master/example/both.png\r\n\r\n\r\nYou can find the example code and data in the `example <https://github.com/OnionNinja/justplot/tree/master/example>`__\r\nfolder.\r\n\r\nHow to improve the module (aka **our** todo list)\r\n-------------------------------------------------\r\n\r\n-  [ ] Save settings from y axes\r\n-  [ ] Add Basemap support\r\n-  [ ] Restructure\r\n-  [ ] Write import function from preconfigured or used figures/axes\r\n-  [x] Write README.md",
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