style: adapt to new numpy version 2.0

MarkusPic · Jul 11, 2024 · c893cef · c893cef
1 parent 70d8713
commit c893cef
Show file tree

Hide file tree

Showing 4 changed files with 9 additions and 9 deletions.
diff --git a/idf_analysis/heavy_rainfall_index.py b/idf_analysis/heavy_rainfall_index.py
@@ -245,7 +245,7 @@ def get_sri(self, height_of_rainfall, duration):
                 if height_of_rainfall < 25:
                     return 0
             else:
-                return np.NaN
+                return np.nan
 
         else:
             raise NotImplementedError(f'Method {self.method} not implemented!')
@@ -290,9 +290,9 @@ def result_sri_table(self, durations=None):
                 sri_table.loc[dur] = self.depth_of_rainfall(dur, rp_table.loc[dur])
 
             # extrapolation vermutlich nicht sehr seriös
-            sri_table[rp_table >= 100] = np.NaN
+            sri_table[rp_table >= 100] = np.nan
             # sri_table.loc[:12] = self.depth_of_rainfall(sri_table.index.values, 100)
-            sri_table[rp_table < 1] = np.NaN
+            sri_table[rp_table < 1] = np.nan
             sri_table = sri_table.astype(float).round(2)
             sri_table = sri_table.ffill(axis=1, limit=None)  # .fillna(method='ffill', axis=1, limit=None)
 

diff --git a/idf_analysis/idf_backend.py b/idf_analysis/idf_backend.py
@@ -238,7 +238,7 @@ def get_scalar_param(self, p, duration):
         param = self.get_duration_section(duration, p)  # type: _Formulation
 
         if param is None:
-            return np.NaN
+            return np.nan
 
         return param.get_param(duration)
 

diff --git a/idf_analysis/idf_class.py b/idf_analysis/idf_class.py
@@ -103,7 +103,7 @@ def set_series(self, series):
         self._freq = guess_freq(series.index)
         freq_minutes = delta2min(self._freq)
         self._parameter.filter_durations(freq_minutes)
-        self.series = series.replace(0, np.NaN).dropna()
+        self.series = series.replace(0, np.nan).dropna()
         self._return_periods_frame = None
         self._rain_events = None
         self._rainfall_sum_frame = None
@@ -409,7 +409,7 @@ def command_line_tool(cls):
             print('Found existing interim-results in "{}" and using them for calculations.'.format(parameters_fn))
         else:
             print('Start reading the time-series {} for the analysis.'.format(user.input))
-            ts = import_series(user.input).replace(0, np.NaN).dropna()
+            ts = import_series(user.input).replace(0, np.nan).dropna()
             # --------------------------------------------------
             idf.set_series(ts)
             print('Finished reading.')
@@ -495,7 +495,7 @@ def get_rainfall_sum_frame(self, series=None, durations=None):
             freq = guess_freq(series.index)
             ts = series.copy()
             ts = ts.asfreq(freq).fillna(0)
-            # ts = series.replace(0, np.NaN).dropna()
+            # ts = series.replace(0, np.nan).dropna()
 
         df = pd.DataFrame(index=ts.index)
         # df = {}
@@ -794,7 +794,7 @@ def return_period_event_figure(self, event):
         import matplotlib.pyplot as plt
         period_line = self.return_periods_frame[event[COL.START]:event[COL.END]].max()
 
-        # period_line[period_line < 0.75] = np.NaN
+        # period_line[period_line < 0.75] = np.nan
         period_line = period_line.dropna()
 
         ax = period_line.plot()  # type: plt.Axes

diff --git a/idf_analysis/interim_result_plots.py b/idf_analysis/interim_result_plots.py
@@ -30,7 +30,7 @@ def return_period_scatter(idf: IntensityDurationFrequencyAnalyse, filename='all_
         # save true
         idf_table = idf.return_periods_frame[start:end]
         idf_table = idf_table.rename(minutes_readable, axis=0)
-        # idf_table[idf_table < min_return_period] = np.NaN
+        # idf_table[idf_table < min_return_period] = np.nan
 
         tn = idf_table.loc[start:end]
         tn_short = tn[dur_short].max().max()