Added plt.close to doc tests

documentation/disaster_models.rst

@@ -93,7 +93,8 @@ The earthquake properties can be plotted on the network using the following exam
 
     >>> plt.tight_layout()
     >>> plt.savefig('network_pga.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-network:
 .. figure:: figures/network_pga.png
    :width: 640

documentation/fragility.rst

@@ -54,6 +54,7 @@ The following example defines a fragility curve with two damage states: Minor da
 
     >>> plt.tight_layout()
     >>> plt.savefig('fragility_curve.png', dpi=300)
+    >>> plt.close()
 
 :numref:`fig-fragility` illustrates the fragility curve as a function of peak ground acceleration.  
 For example, if the peak ground acceleration is 0.3 at 
@@ -108,7 +109,8 @@ To plot the damage state on the network, the state (i.e., Major) can be converte
 
     >>> plt.tight_layout()
     >>> plt.savefig('damage_state.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-damage-state:
 .. figure:: figures/damage_state.png
    :width: 640

documentation/gis.rst

@@ -427,6 +427,7 @@ the hydrants snapped to the junctions in Net1.
     >>> bounds = ax.axis('equal')
     >>> plt.tight_layout()
     >>> plt.savefig('snap_points.png', dpi=300)
+    >>> plt.close()
 
 .. _fig-snap-points:
 .. figure:: figures/snap_points.png
@@ -511,6 +512,7 @@ illustrates the valve layer created by snapping points to lines in Net1.
     >>> bounds = ax.axis('equal')
     >>> plt.tight_layout()
     >>> plt.savefig('snap_lines.png', dpi=300)
+    >>> plt.close()
 
 .. _fig-snap-lines:
 .. figure:: figures/snap_lines.png
@@ -615,7 +617,8 @@ The pipes are colored based upon their maximum earthquake probability.
     >>> bounds = ax.axis('equal')
     >>> plt.tight_layout()
     >>> plt.savefig('intersect_earthquake.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-intersect-earthquake:
 .. figure:: figures/intersect_earthquake.png
    :width: 640
@@ -699,6 +702,7 @@ The pipes are colored based upon their weighted mean landslide probability.
     >>> bounds = ax.axis('equal')
     >>> plt.tight_layout()
     >>> plt.savefig('intersect_landslide.png', dpi=300)
+    >>> plt.close()
 
 .. _fig-intersect-landslide:
 .. figure:: figures/intersect_landslide.png
@@ -807,6 +811,7 @@ the census tracts (polygons) is different than the junction and pipe attributes.
     >>> bounds = ax.axis('equal')
     >>> plt.tight_layout()
     >>> plt.savefig('intersect_demographics.png', dpi=300)
+    >>> plt.close()
 
 .. _fig-intersect-demographics:
 .. figure:: figures/intersect_demographics.png

documentation/graphics.rst

@@ -63,7 +63,8 @@ which can be further customized by the user.
 
     >>> plt.tight_layout()
     >>> plt.savefig('plot_basic_network.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-network-2:
 .. figure:: figures/plot_basic_network.png
    :width: 640
@@ -118,7 +119,8 @@ See https://matplotlib.org for more colormap options.
 
     >>> plt.tight_layout()
     >>> plt.savefig('plot_subplot_basic_network.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-network-3:
 .. figure:: figures/plot_subplot_basic_network.png
    :width: 800
@@ -267,7 +269,8 @@ The following example uses simulation results from above, and converts the graph
 
     >>> plt.tight_layout()
     >>> plt.savefig('plot_pump_curve.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-interactive-timeseries:
 .. figure:: figures/interactive_timeseries.png
    :width: 640
@@ -331,7 +334,8 @@ The following example plots a pump curve (:numref:`fig-pump`).
 
     >>> plt.tight_layout()
     >>> plt.savefig('plot_pump_curve.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-pump:
 .. figure:: figures/plot_pump_curve.png
    :width: 640
@@ -380,7 +384,8 @@ level of the tank is included in the figure.
 
     >>> plt.tight_layout()
     >>> plt.savefig('plot_tank_volume_curve.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-tank:
 .. figure:: figures/plot_tank_volume_curve.png
    :width: 800
@@ -420,6 +425,7 @@ The valves and valve segments are plotted on the network (:numref:`fig-valve_seg
 
     >>> plt.tight_layout()
     >>> plt.savefig('plot_valve_segment.png', dpi=300)
+    >>> plt.close()
 
 .. _fig-valve_segment:
 .. figure:: figures/plot_valve_segment.png
@@ -447,7 +453,8 @@ valves surrounding each valve is plotted on the network
 
     >>> plt.tight_layout()
     >>> plt.savefig('plot_valve_segment_attributes.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-valve_segment_attributes:
 .. figure:: figures/plot_valve_segment_attributes.png
    :width: 640

documentation/layers.rst

@@ -80,6 +80,7 @@ The valve layer can be included in water network graphics (:numref:`fig-random-v
 
     >>> plt.tight_layout()
     >>> plt.savefig('random_valve_layer.png', dpi=300)
+    >>> plt.close()
 
 .. _fig-random-valve-layer:
 .. figure:: figures/random_valve_layer.png
@@ -104,6 +105,7 @@ The valve layer can be included in water network graphics (:numref:`fig-strategi
 
     >>> plt.tight_layout()
     >>> plt.savefig('strategic_valve_layer.png', dpi=300)
+    >>> plt.close()
 
 .. _fig-strategic-valve-layer:
 .. figure:: figures/strategic_valve_layer.png

documentation/morph.rst

@@ -147,7 +147,8 @@ approximately 3000 to approximately 1000 (:numref:`fig-skel-example`).
 
     >>> plt.tight_layout()
     >>> plt.savefig('skel_example.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-skel-example:
 .. figure:: figures/skel_example.png
    :width: 800
@@ -202,7 +203,8 @@ Pressure differences are very small in this example.
 
     >>> plt.tight_layout()
     >>> plt.savefig('skel_hydraulics.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-skel-hydraulics:
 .. figure:: figures/skel_hydraulics.png
    :width: 640

documentation/resultsobject.rst

@@ -153,7 +153,8 @@ Data can be plotted as a time series, as shown in :numref:`fig-plot-timeseries`:
 
     >>> plt.tight_layout()
     >>> plt.savefig('plot_timeseries.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-plot-timeseries:
 .. figure:: figures/plot_timeseries.png
    :width: 640
@@ -182,7 +183,8 @@ plotted in a similar manner.
 
     >>> plt.tight_layout()
     >>> plt.savefig('plot_network.png', dpi=300)
-
+    >>> plt.close()
+
 .. _fig-plot-network:
 .. figure:: figures/plot_network.png
    :width: 640