Plotting routines¶
This program will plot the final temperature map using the temperatures calculated from sherpa and the binnings from WVT
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class
TemperatureMapPipeline.Plots.Bin(number)¶ Class which contains bin information: bin number, pixels in bin, temperature, reduced chi statistic, and abundance.
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TemperatureMapPipeline.Plots.plot_Ab(bin_file, temp_file, file_dir, filename, color_map, stn, wcs_image)¶ Plot the Abundance from Fits and create png and fits image with the following ending: file_dir+’/’+filename+”_”+str(stn)+”_Met.png”
- Parameters
bin_file (str) – WVT bin data file
temp_file (str) – Temperature file containing fit information
file_dir (str) – Full path to location of new image (and fits)
filename (str) – Name of new output file
color_map (str) – Matplotlib Colormap (default = Viridis)
stn (int) – Target Signal-to-Noise of WVT bins
wcs_image (str) – Path to initial image for WCS information (not used for anything else)
- Returns
PNG and FITS image of fitted abundances
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TemperatureMapPipeline.Plots.plot_Bins(bin_file, temp_file, file_dir, filename, color_map, stn, wcs_image)¶ Plot the Temperatures from Fits and create png and fits image with the following ending: file_dir+’/’+filename+”_”+str(stn)+”_Met.png”
- Parameters
bin_file (str) – WVT bin data file
temp_file (str) – Temperature file containing fit information
file_dir (str) – Full path to location of new image (and fits)
filename (str) – Name of new output file
color_map (str) – Matplotlib Colormap (default = Viridis)
stn (int) – Target Signal-to-Noise of WVT bins
wcs_image (str) – Path to initial image for WCS information (not used for anything else)
- Returns
PNG and FITS image of fitted temperatures