From ce4d18c8616917165d3716e9543b42667d82c44c Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Thu, 25 Jan 2024 17:32:17 +0100
Subject: [PATCH] remove plot_series() leftovers

---
 scripts/plot_network.py | 164 ----------------------------------------
 1 file changed, 164 deletions(-)

diff --git a/scripts/plot_network.py b/scripts/plot_network.py
index dde7d61b..b06e5ce2 100644
--- a/scripts/plot_network.py
+++ b/scripts/plot_network.py
@@ -671,168 +671,6 @@ def plot_ch4_map(network):
     )
 
 
-<<<<<<< HEAD
-def plot_series(network, carrier="AC", name="test"):
-    n = network.copy()
-    assign_location(n)
-    assign_carriers(n)
-
-    buses = n.buses.index[n.buses.carrier.str.contains(carrier)]
-
-    supply = pd.DataFrame(index=n.snapshots)
-    for c in n.iterate_components(n.branch_components):
-        n_port = 4 if c.name == "Link" else 2
-        for i in range(n_port):
-            supply = pd.concat(
-                (
-                    supply,
-                    (
-                        -1
-                        * c.pnl[f"p{str(i)}"]
-                        .loc[:, c.df.index[c.df[f"bus{str(i)}"].isin(buses)]]
-                        .groupby(c.df.carrier, axis=1)
-                        .sum()
-                    ),
-                ),
-                axis=1,
-            )
-
-    for c in n.iterate_components(n.one_port_components):
-        comps = c.df.index[c.df.bus.isin(buses)]
-        supply = pd.concat(
-            (
-                supply,
-                ((c.pnl["p"].loc[:, comps]).multiply(c.df.loc[comps, "sign"]))
-                .groupby(c.df.carrier, axis=1)
-                .sum(),
-            ),
-            axis=1,
-        )
-
-    supply = supply.groupby(rename_techs_tyndp, axis=1).sum()
-
-    both = supply.columns[(supply < 0.0).any() & (supply > 0.0).any()]
-
-    positive_supply = supply[both]
-    negative_supply = supply[both]
-
-    positive_supply[positive_supply < 0.0] = 0.0
-    negative_supply[negative_supply > 0.0] = 0.0
-
-    supply[both] = positive_supply
-
-    suffix = " charging"
-
-    negative_supply.columns = negative_supply.columns + suffix
-
-    supply = pd.concat((supply, negative_supply), axis=1)
-
-    # 14-21.2 for flaute
-    # 19-26.1 for flaute
-
-    start = "2013-02-19"
-    stop = "2013-02-26"
-
-    threshold = 10e3
-
-    to_drop = supply.columns[(abs(supply) < threshold).all()]
-
-    if len(to_drop) != 0:
-        logger.info(f"Dropping {to_drop.tolist()} from supply")
-        supply.drop(columns=to_drop, inplace=True)
-
-    supply.index.name = None
-
-    supply = supply / 1e3
-
-    supply.rename(
-        columns={"electricity": "electric demand", "heat": "heat demand"}, inplace=True
-    )
-    supply.columns = supply.columns.str.replace("residential ", "")
-    supply.columns = supply.columns.str.replace("services ", "")
-    supply.columns = supply.columns.str.replace("urban decentral ", "decentral ")
-
-    preferred_order = pd.Index(
-        [
-            "electric demand",
-            "transmission lines",
-            "hydroelectricity",
-            "hydro reservoir",
-            "run of river",
-            "pumped hydro storage",
-            "CHP",
-            "onshore wind",
-            "offshore wind",
-            "solar PV",
-            "solar thermal",
-            "building retrofitting",
-            "ground heat pump",
-            "air heat pump",
-            "resistive heater",
-            "OCGT",
-            "gas boiler",
-            "gas",
-            "natural gas",
-            "methanation",
-            "hydrogen storage",
-            "battery storage",
-            "hot water storage",
-        ]
-    )
-
-    new_columns = preferred_order.intersection(supply.columns).append(
-        supply.columns.difference(preferred_order)
-    )
-
-    supply = supply.groupby(supply.columns, axis=1).sum()
-    fig, ax = plt.subplots()
-    fig.set_size_inches((8, 5))
-
-    (
-        supply.loc[start:stop, new_columns].plot(
-            ax=ax,
-            kind="area",
-            stacked=True,
-            linewidth=0.0,
-            color=[
-                snakemake.params.plotting["tech_colors"][i.replace(suffix, "")]
-                for i in new_columns
-            ],
-        )
-    )
-
-    handles, labels = ax.get_legend_handles_labels()
-
-    handles.reverse()
-    labels.reverse()
-
-    new_handles = []
-    new_labels = []
-
-    for i, item in enumerate(labels):
-        if "charging" not in item:
-            new_handles.append(handles[i])
-            new_labels.append(labels[i])
-
-    ax.legend(new_handles, new_labels, ncol=3, loc="upper left", frameon=False)
-    ax.set_xlim([start, stop])
-    ax.set_ylim([-1300, 1900])
-    ax.grid(True)
-    ax.set_ylabel("Power [GW]")
-    fig.tight_layout()
-
-    fig.savefig(
-        "results/{}maps/series-{}-{}-{}-{}.pdf".format(
-            snakemake.params.RDIR,
-            snakemake.wildcards["ll"],
-            carrier,
-            start,
-            stop,
-        ),
-        transparent=True,
-    )
-
-
 def plot_map_perfect(
     network,
     components=["Link", "Store", "StorageUnit", "Generator"],
@@ -985,8 +823,6 @@ def plot_map_perfect(
         )
 
 
-=======
->>>>>>> ead390b4 (plot_network: remove function plot_series())
 if __name__ == "__main__":
     if "snakemake" not in globals():
         from _helpers import mock_snakemake