flake8 corrections in use cases

rpoleski · Nov 1, 2022 · b8a88f6 · b8a88f6
1 parent 553db75
commit b8a88f6
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Showing 6 changed files with 6 additions and 7 deletions.
diff --git a/examples/use_cases/use_case_05_satellite_parallax.py b/examples/use_cases/use_case_05_satellite_parallax.py
@@ -1,7 +1,6 @@
 """
 This is Spitzer use case.
 """
-import numpy as np
 import os
 
 import MulensModel as mm

diff --git a/examples/use_cases/use_case_05b_satellite_parallax.py b/examples/use_cases/use_case_05b_satellite_parallax.py
@@ -3,7 +3,6 @@
 Figure 3 from Zhu et al. 2017 ApJL 849 L31. = MOA-2016-BLG-290
 
 """
-import numpy as np
 import matplotlib.pyplot as plt
 
 import MulensModel as mm

diff --git a/examples/use_cases/use_case_10_get_chi2.py b/examples/use_cases/use_case_10_get_chi2.py
@@ -2,7 +2,6 @@
 Calculate the chi2 between a model and some data.
 """
 import matplotlib.pyplot as plt
-from astropy import units as u
 import os
 import numpy as np
 

diff --git a/examples/use_cases/use_case_11_bad_data.py b/examples/use_cases/use_case_11_bad_data.py
@@ -1,4 +1,5 @@
 import matplotlib.pyplot as plt
+import numpy as np
 
 import MulensModel as mm
 

diff --git a/examples/use_cases/use_case_24_chi2_gradient.py b/examples/use_cases/use_case_24_chi2_gradient.py
@@ -6,9 +6,7 @@
 Similar to example_02_fitting.py except using the 'Newton-CG" method to
 minimize the function (and now has a "Minimizer" class).
 """
-import sys
 import os
-import numpy as np
 import scipy.optimize as op
 import matplotlib.pyplot as plt
 

diff --git a/examples/use_cases/use_case_40_get_lc.py b/examples/use_cases/use_case_40_get_lc.py
@@ -46,8 +46,11 @@
 # in FitData.get_residuals() to be consistent; ohh... we should also deprecate
 # "scaled" in that case).
 
-# Event.get_lc(dataset=1, phot_fmt="scaled") --> returns model magnitudes for dataset 1 scaled to ref_data.
-# Event.get_lc(dataset=data1, phot_fmt="mag") --> returns model magnitudes for dataset 1 scaled to that dataset's fs, fb.
+# Event.get_lc(dataset=1, phot_fmt="scaled") --> returns model magnitudes for
+#                                                dataset 1 scaled to ref_data.
+# Event.get_lc(dataset=data1, phot_fmt="mag") --> returns model magnitudes for
+#                                                 dataset 1 scaled to that
+#                                                 dataset's fs, fb.
 # The above also take into account bandpass and satellite_skycoord.
 
 # Make plot: