Fix: Pandas latest (#159)

* Plot each col in DataFrame individually

* Remove numpy and pandas version requirements

Author: ssolson

mhkit/wave/graphics.py

@@ -30,11 +30,10 @@ def plot_spectrum(S, ax=None):
     assert isinstance(S, pd.DataFrame), 'S must be of type pd.DataFrame'
 
     f = S.index
-
-    ax = _xy_plot(f*2*np.pi, S/(2*np.pi), fmt='-', xlabel='omega [rad/s]',
+    for key in S.keys():
+        ax = _xy_plot(f*2*np.pi, S[key]/(2*np.pi), fmt='-', xlabel='omega [rad/s]',
              ylabel='Spectral density [m$^2$s/rad]', ax=ax)
 
-
     return ax
 
 
@@ -56,8 +55,9 @@ def plot_elevation_timeseries(eta, ax=None):
 
     assert isinstance(eta, pd.DataFrame), 'eta must be of type pd.DataFrame'
 
-    ax = _xy_plot(eta.index, eta, fmt='-', xlabel='Time',
-                  ylabel='$\eta$ [m]', ax=ax)
+    for key in eta.keys():
+        ax = _xy_plot(eta.index, eta[key], fmt='-', xlabel='Time',
+            ylabel='$\eta$ [m]', ax=ax)
 
     return ax
 
@@ -531,12 +531,11 @@ def monthly_cumulative_distribution(J):
     for month in months:
         plt.semilogx(J.loc[cumSum[month].index], cumSum[month].F, '--', 
             label=calendar.month_abbr[month])
-
+    
     F = exceedance_probability(J)
     F.sort_values('F', inplace=True)
-    ax = plt.semilogx(J.loc[F.index], 1-F/100, 'k-', fillstyle='none', label='All')
+    ax = plt.semilogx(J.loc[F.index], 1-F['F']/100, 'k-', fillstyle='none', label='All')
 
-    #plt.xlim([1000, 1E6])    
     plt.grid()
     plt.xlabel('Energy Flux')
     plt.ylabel('Cumulative Distribution')

setup.py

@@ -17,8 +17,8 @@
              'Intended Audience :: Science/Research',
              'Operating System :: OS Independent',
             ]
-DEPENDENCIES = ['pandas<=1.3.5', 
-                'numpy<1.21.0', 
+DEPENDENCIES = ['pandas', 
+                'numpy', 
                 'scipy',
                 'matplotlib', 
                 'requests',