kapadia

• Daily tile server - http://www.nnvl.noaa.gov/view/#TRUE
• Low resolution data access - http://neo.sci.gsfc.nasa.gov/view.php?datasetId=VIIRS_543D
• Beginner's Guide to working with VIIRS - http://rammb.cira.colostate.edu/projects/npp/Beginner_Guide_to_VIIRS_Imagery_Data.pdf
• CLASS for direct data access - http://www.class.ncdc.noaa.gov/saa/products/welcome
• Example FTP directory for Level 1 products - ftp://ftp-npp.class.ngdc.noaa.gov/20150803/VIIRS-SDR/
• VIIRS EDR User Guide - http://rammb.cira.colostate.edu/projects/npp/VIIRS_Imagery_EDR_Users_Guide.pdf
• Software from Wisconsin for processing VIIRS - https://cimss.ssec.wisc.edu/cspp/download/
• Documentation of above software - ftp://ftp.ssec.wisc.edu/pub/CSPP/hidden/NPP/UTIL/polar2grid/v1.2/CSPP_IMAPP_Polar2Grid_Installation_Guide_v1.2.pdf
• Sphinx docs on polar2grid - http://www.ssec.wisc.edu/software/polar2grid/index.html
• polar2grid code - https://github.com/davidh-ssec/polar2grid

tacaswell

def add_range_annotation(ax, start, end, txt_str, y_height=.5, txt_kwargs=None, arrow_kwargs=None):
    """
    Adds horizontal arrow annotation with text in the middle

    Parameters
    ----------
    ax : matplotlib.Axes
        The axes to draw to

    start : float

ivanov

#!/usr/bin/env python
"""A quick hack to draw gradient lines using a colormap.

This was written in response to <Baribal>'s question on IRC.

There are two functions provided here:

`plot_gradient_hack` takes two arguments, p0 and p1, which are both (x,y)
pairs, and plots a gradient between them that spans the full colormap.