kepdraw: interactive plotting of Kepler time series data

pyke.kepdraw.kepdraw(infile, outfile=None, datacol=None, ploterr=False, errcol='SAP_FLUX_ERR', quality=False, lcolor='#363636', lwidth=1.0, fcolor='#a8a7a7', falpha=0.2, labelsize=20, ticksize=14, xsize=18.0, ysize=6.0, fullrange=False, chooserange=False, y1=0, y2=10000.0, plotgrid=False, ylabel='e$^-$ s$^{-1}$', plottype='fast', noninteractive=False, verbose=False, logfile='kepdraw.log')

kepdraw – Interactive plotting of time series data

Parameters:

infile : str

The name of a MAST standard format FITS file containing a Kepler light curve within the first data extension.

outfile : string

The name of the output PNG plot file.

datacol : string

The FITS column within extension 1 of infile to be plotted against time.

ploterr : bool

Plot error bars with the data?

errcol : str

The uncertainty data coupled to datacol. If ploterr is True then these data will be plotted as error bars

quality : bool

Ignore bad data and cadence gaps in datacol?

lcolor : str

The color of the line plot. These can be chosen in html notation, e.g. black is #000000 and white is #ffffff.

lwidth : float

The width of the plot line in arbitrary units. The plotting default width is 1.0.

fcolor : str

The color of the fill under the plot line. These can be chosen in html notation, e.g. black is #000000 and white is #ffffff. The html color scheme can be browsed in multiple online charts.

falpha : float

The transparency of the fill color. 0.0 is transparent, 1.0 is opaque.

labelsize : float

The font size of the plot labels.

ticksize : float

The axes tick sizes within the plot.

xsize : float

The length of the plotting window in arbitrary units. A typical value is 16.0

ysize : float

The height of the plotting window in arbitrary units. A typical value is 8.0

fullrange : bool

Plot the flux range between zero and the maximum and 101% of the flux maximum? Otherwise plot the range 99% of the flux minimum to 101% of the flux maximum.

plotgrid : bool

Plot a grid over the data on the major tick marks?

plottype : str

The look and feel of the plot. ‘fast’ provides a rapid quick look plot using discrete points to represent the data. ‘pretty’ provides a continuous curve between data points, except at natural data gaps or where quality issues occur. Pretty curves are significantly slower to build. Options:

• fast
• pretty

non-interactive : bool

If True, prevents the matplotlib window to pop up.

verbose : bool

Print informative messages and warnings to the shell and logfile?

logfile : str

Name of the logfile containing error and warning messages.

Examples

$ kepdraw kplr010666592-2009131110544_slc.fits