In [7]:

    

l1ascan = pd.read_hdf("/home/klay6683/to_keep/l1a_dark_scan.h5")


    

In [20]:

    

l1ascan = meta.clean_up_dark_scan(l1ascan)


    

In [21]:

    

ffi = l1ascan[(l1ascan.NAXIS1==1024) & (l1ascan.NAXIS2==1024)]


    

In [22]:

    

ffi.PRODUCT_ID.unique().shape


    

    
Out[22]:





(1076,)

In [23]:

    

ffi.CHANNEL.value_counts()


    

    
Out[23]:





MUV    561
FUV    561
Name: CHANNEL, dtype: int64

In [24]:

    

ffi.PRODUCT_ID.iloc[0]


    

    
Out[24]:





'mvn_iuv_l1a_IPH1-cycle00002-mode050-fuvdark_20140403T115555_v02_r01'

In [25]:

    

ffi = ffi[ffi.COLLECTION_ID.isin('disk limb corona'.split())]


    

In [29]:

    

ffi.set_index("TIME_OF_INT", inplace=True)


    

In [31]:

    

ffi.sort_index(inplace=True)


    

In [33]:

    

l1a = io.L1AReader(ffi.PRODUCT_ID.iloc[0])


    

In [36]:

    

l1a.img.shape


    

    
Out[36]:





(2, 1024, 1024)

In [41]:

    

plt.figure()
plt.imshow(np.log(l1a.img[0]), cmap='viridis', )


    

    















    












    
Out[41]:





<matplotlib.image.AxesImage at 0x7fdc7aa72048>

In [42]:

    

l1a.fname


    

    
Out[42]:





'/maven_iuvs/production/products/level1a/mvn_iuv_l1a_periapse-orbit01059-fuvdark_20150417T054342_v02_r01.fits.gz'

In [46]:

    

l1amuv = io.L1AReader(ffi.PRODUCT_ID.iloc[1])


    

In [53]:

    

plt.figure()
plt.imshow(np.log(l1amuv.img[0]), cmap='viridis')
plt.colorbar()


    

    















    












    
Out[53]:





<matplotlib.colorbar.Colorbar at 0x7fdc7ac916a0>

In [52]:

    

l1amuv.primary_img_dn_s[0].mean()


    

    
Out[52]:





0.75912976042247948

In [56]:

    

plt.figure()
plt.hist(l1amuv.img[0].ravel(), bins=100, log=True);


    

In [ ]: