def plot_net(net, ax=None):
if ax is None:
fig, ax = mpl.subplots(1, 1, figsize=(10, 7))
mean_distance_between_buses = sum(
(net['bus_geodata'].max() - net['bus_geodata'].min()).dropna() / 200)
bus_size = mean_distance_between_buses * 1.
ext_grid_size = mean_distance_between_buses * 1.
trafo_size = mean_distance_between_buses * .1
collections = list()
if ax is None:
fig, ax = plt.subplots(1, 1)
# create plot collection to visualize results
cmap, norm = plt.cmap_continuous([(0.9, "blue"), (1.0, "green"),
(1.1, "red")])
collections.append(
plt.create_bus_collection(net, size=bus_size, cmap=cmap, norm=norm))
cmap, norm = plt.cmap_continuous([(0., "green"), (50., "yellow"),
(100., "red")])
collections.append(
plt.create_line_collection(net,
use_bus_geodata=True,
linewidth=1.,
cmap=cmap,
norm=norm))
collections.append(
plt.create_trafo_collection(net,
size=trafo_size,
color="green",
alpha=.5))
collections.append(
plt.create_ext_grid_collection(net,
size=ext_grid_size,
orientation=1.5))
for idx in net.bus_geodata.index:
x = net.bus_geodata.loc[idx, "x"]
y = net.bus_geodata.loc[idx, "y"] + bus_size * 1.
ax.text(x + 0.01, y, str(idx), fontsize=8, color="k")
plt.draw_collections(collections, ax=ax)
mpl.tight_layout()
ax.axis('off')
mpl.show()
mpl.close()
def test_cmap_continuous():
cmap_list = [(0.97, "blue"), (1.0, "green"), (1.03, "red")]
cmap, norm = plot.cmap_continuous(cmap_list)
assert np.allclose(cmap(0.99), (0.984313725490196, 0.007873894655901603, 0.0, 1.0))
assert np.allclose(cmap(1.02), (1.0, 0.0, 0.0, 1.0))
assert np.allclose([norm(0.97 + 0.01 * n) for n in range(7)],
[0.16666666666666666 * n for n in range(7)])
def plot_network(net):
# create buses ID
buses = net.bus.index.tolist() # list of all bus indices
coords = zip(net.bus_geodata.x.loc[buses].values + 0.15,
net.bus_geodata.y.loc[buses].values +
0.07) # tuples of all bus coords
bic = plot.create_annotation_collection(size=0.2,
texts=np.char.mod('%d', buses),
coords=coords,
zorder=3,
color="black")
# creating a color function to get a linear a colormap with color centers green at 30%, yellow at 50% and red at 60%
# line loading
cmap_list_lines = [(20, "green"), (50, "yellow"), (60, "red")]
cmap_lines, norm_lines = plot.cmap_continuous(cmap_list_lines)
# create a collection for colouring each line according to a line color range.
lc = plot.create_line_collection(net,
net.line.index,
zorder=2,
cmap=cmap_lines,
norm=norm_lines,
linewidths=2)
# create discrete map for node pu magnitude
cmap_list_nodes = [(0.975, "blue"), (1.0, "green"), (1.03, "red")]
cmap_nodes, norm_nodes = plot.cmap_continuous(cmap_list_nodes)
bc = plot.create_bus_collection(
net,
net.bus.index,
size=0.07,
zorder=2,
cmap=cmap_nodes,
norm=norm_nodes) #80 of mv obherreim and 0.07 for ieee
tlc, tpc = plot.create_trafo_collection(net, net.trafo.index, color="g")
sc = plot.create_bus_collection(net,
net.ext_grid.bus.values,
patch_type="rect",
size=.08,
color="y",
zorder=11)
# draw the different collections
plot.draw_collections([lc, bc, tlc, tpc, sc, bic], figsize=(8, 6))
plt.show()
import pandapower as pp import pandapower.networks as nw import pandapower.plotting as plot import matplotlib.pyplot as plt # load network case # net = nw.mv_oberrhein() net=nw.case33bw() # net = nw.create_synthetic_voltage_control_lv_network(network_class='rural_1') # run pf pp.runpp(net) # creating a color function to get a linear a colormap with color centers green at 30%, yellow at 50% and red at 60% # line loading cmap_list_lines=[(20, "green"), (50, "yellow"), (60, "red")] cmap_lines, norm_lines = plot.cmap_continuous(cmap_list_lines) # create a collection for colouring each line according to a line color range. lc = plot.create_line_collection(net, net.line.index, zorder=2, cmap=cmap_lines, norm=norm_lines, linewidths=2) # create discrete map for node pu magnitude cmap_list_nodes=[(0.975, "blue"), (1.0, "green"), (1.03, "red")] cmap_nodes, norm_nodes = plot.cmap_continuous(cmap_list_nodes) bc = plot.create_bus_collection(net, net.bus.index, size=0.07, zorder=2, cmap=cmap_nodes, norm=norm_nodes) #80 of mv obherreim and 0.07 for ieee # tlc, tpc = plot.create_trafo_collection(net, net.trafo.index, color="g") sc = plot.create_bus_collection(net, net.ext_grid.bus.values, patch_type="rect", size=.08, color="y", zorder=11) # plot.draw_collections([lc, bc, sc], figsize=(8,6)) # plt.show() net_generic = nw.case33bw() net_generic.bus_geodata.drop(net_generic.bus_geodata.index, inplace=True) net_generic.line_geodata.drop(net_generic.line_geodata.index, inplace=True) plot.create_generic_coordinates(net_generic, respect_switches=True) #create artificial coordinates with the igraph package