Merge branch 'develop' of https://github.com/pygpc-polynomial-chaos/p…

…ygpc into develop

pygpc/Visualization.py

@@ -2,8 +2,12 @@
 import os
 import sys
 import scipy.stats
-import matplotlib as mpl
-import matplotlib.pyplot as plt
+
+try:
+    import matplotlib as mpl
+    import matplotlib.pyplot as plt
+except ImportError:
+    pass
 
 
 class Visualization:

pygpc/misc.py

@@ -9,7 +9,11 @@
 import scipy.stats
 import scipy.special
 import scipy.spatial
-import matplotlib.pyplot as plt
+
+try:
+    import matplotlib.pyplot as plt
+except ImportError:
+    pass
 
 from scipy.spatial.distance import cdist
 from .Visualization import plot_beta_pdf_fit

pygpc/postprocessing.py

@@ -1,12 +1,15 @@
 import h5py
-import matplotlib
 import numpy as np
 import pandas as pd
 
 from .Grid import *
 from .MEGPC import *
 from .io import read_session
 
+try:
+    import matplotlib
+except ImportError:
+    pass
 
 def get_sensitivities_hdf5(fn_gpc, output_idx=False, calc_sobol=True, calc_global_sens=False, calc_pdf=False,
                            algorithm="standard", n_samples=1e5):

pygpc/testfunctions/euber_libV3.py

@@ -6,8 +6,12 @@
 import scipy.optimize
 import pdb
 import mpmath as mp
-from matplotlib.patches import Rectangle
-import matplotlib.pyplot as plt
+
+try:
+    from matplotlib.patches import Rectangle
+    import matplotlib.pyplot as plt
+except ImportError:
+    pass
 
 
 class euber():

pygpc/validation.py

@@ -1,8 +1,5 @@
 import os
 import h5py
-import matplotlib
-import seaborn as sns
-import matplotlib.pyplot as plt
 import scipy.stats
 from scipy.signal import savgol_filter
 from .misc import nrmsd
@@ -12,6 +9,13 @@
 from .Grid import *
 from .Visualization import *
 
+try:
+    import matplotlib
+    import seaborn as sns
+    import matplotlib.pyplot as plt
+except ImportError:
+    pass
+
 
 def validate_gpc_mc(session, coeffs, coords=None, data_original=None, n_samples=1e4, output_idx=0, n_cpu=1,
                     smooth_pdf=[51, 5], bins=100, hist=False, fn_out=None, folder="gpc_vs_original_mc", plot=True):