ehsteve

import pandas as pd
import requests
from io import StringIO

datasets = [line.rstrip("\n") for line in open("datasets.dat")]

i = 2
url = f"http://lasp.colorado.edu/lisird/latis/dap/{datasets[i]}.csv?format_time(yyyy-MM-dd'T'HH:mm:ss.SSS)"

d = "time>=2005-05-05T12:00&time<2006-05-05T12:00"

ehsteve

from sunpy.util.scraper import Scraper, TIME_CONVERSIONS
import datetime
import re
from sunpy.time import TimeRange, parse_time

tr = TimeRange('2019/05/12 00:50', '2019/05/12 01:40')
url = 'https://data.ngdc.noaa.gov/platforms/solar-space-observing-satellites/goes/goes16/l2/data/suvi-l2-ci284/2019/04/05/'
fname = 'dr_suvi-l2-ci284_g16_s20190405T122400Z_e20190405T122800Z_v1-0-0.fits'

search_pattern = "https://data.ngdc.noaa.gov/platforms/solar-space-observing-satellites/goes/goes16/"

ehsteve

import sunpy.map
import matplotlib.pyplot as plt

from astropy.coordinates import SkyCoord
from sunpy.coordinates import frames
import astropy.units as u
from astropy.time import Time

# image from helioviewer
f = '/Users/sdchris1/Library/Containers/com.apple.Preview/Data/Downloads/2000_02_27__07_42_05_810__SOHO_LASCO_C3_white-light.jp2'

ehsteve

This document describes a new way to organize in a self-consistent way SunPy objects.

Spatial	Temporal	Spectral	Note
SpaceSeries (1d spatial data, e.g. slice from a map)			do not exist
SpaceSequence (slit spectrogram where x is main axis)			do not exist
GenericMap	GenericTimeSeries	GenericSpectrum	Base object, X is name of the instrument
MapCollection (renames current CompositeMap)	TimeSeriesCollection	SpectrumCollection	a collection of data usually taken at the same time but by different instruments
MapSequence (replaces current MapCube, Mapcubed would subclass this)	TimeSeriesSequence (ex. spectrogram where t is main axis)	SpectrumSequence (ex. spectrogram where freq/energy is main exist)	a series of related measurements such as as a function of time (MapSequence) or a function of energy (TimeSeriesSequence)

ehsteve

class oneDimensionalData( NDData ):
    """A barebone class to handle one-dimensional data.
    
    Examples of dims; 
    
    def __init__(self, x, y, yerr, meta, unit, dims):
        self.data = y
        self.uncertainty = yerr
        self.meta = meta
        self.unit = unit

ehsteve

ehsteve

List
* diecut ready
* circle round

ehsteve

Keybase proof

I hereby claim:

• I am ehsteve on github.
• I am schriste (https://keybase.io/schriste) on keybase.
• I have a public key whose fingerprint is 7DA7 E902 A5BF 3A21 4DBE 6E4B 258F BDE8 FC23 E104

To claim this, I am signing this object:

ehsteve

from collections import namedtuple
Pair = namedtuple('Pair', 'x y')

def afunction(x, y):
    return [x + y, x - y]

class Test(object):

    def __init__(self):
        self._a = Pair(1, 2)

ehsteve

pip install --upgrade wcsaxes
Collecting wcsaxes
  Using cached wcsaxes-0.4.tar.gz
Collecting astropy (from wcsaxes)
  Downloading astropy-1.0.3.tar.gz (7.6MB)
    100% |████████████████████████████████| 7.6MB 36kB/s 
Requirement already up-to-date: matplotlib in ./anaconda/lib/python2.7/site-packages (from wcsaxes)
Requirement already up-to-date: numpy>=1.6.0 in ./anaconda/lib/python2.7/site-packages (from astropy->wcsaxes)
Requirement already up-to-date: six>=1.4 in ./anaconda/lib/python2.7/site-packages (from matplotlib->wcsaxes)
Collecting python-dateutil (from matplotlib->wcsaxes)