add chart for individual pv system

examples/india_chart_per_system.py

@@ -0,0 +1,60 @@
+"""Chart generation for a single system. This shows the cumulative energy
+generation or instantaneous power generation over time. Some of the commented out code can be used to filter the data by date or plot max, mean, min, median values, etc."""
+import os
+import pandas as pd
+import numpy as np
+import plotly.express as px
+import h5py
+
+# load hdf file with the generation data for each system
+pv_systems_hdf = os.environ.get("PV_DATA_HDF")
+
+# this plots one system as a line chart in plotly
+# plot the data as line graph in plotly
+
+# can choose a system id to input here
+system_id = "SYSTEM_ID"
+# read the hdf file and get the data for the system id
+with h5py.File(pv_systems_hdf, "r") as f:
+    pv_system_data = pd.DataFrame(np.array(f["timeseries"][system_id]["table"]))
+    pv_system_data["index"] = pd.to_datetime(pv_system_data["index"], unit="ns")
+    pv_system_data = pv_system_data.set_index("index", inplace=False)
+    # this code can be used to get the mean weekly ("W") or monthly ("M")
+    # production per system or the max daily production ("D")
+    # pv_system_data = pv_system_data.groupby(pd.Grouper(key="index", freq="M").mean
+
+    pv_system_data["System ID"] = system_id
+    pv_system_data = pd.DataFrame(
+        pv_system_data,
+        columns=[
+            "index",
+            "cumulative_energy_gen_Wh",
+            "System ID",
+            "instantaneous_power_gen_W",
+        ],
+    )
+    # filter the data by date
+    # pv_system_data = pv_system_data.loc[
+    #     pv_system_data.index > pd.Timestamp("2019-05-01 00:00:00")
+    # ]
+    # pv_system_data = pv_system_data.loc[
+    #     pv_system_data.index < pd.Timestamp("2019-07-01 00:00:00")
+    # ]
+
+    pv_system_data["cumulative_energy_gen_kWh"] = (
+        pv_system_data["cumulative_energy_gen_Wh"] / 1000
+    ).astype(float)
+
+    # plot the data as a line chart
+    fig = px.line(
+        pv_system_data,
+        x=pv_system_data.index,
+        # here you can swap between cumulative energy generation and instantaneous
+        # power generation on the y axis
+        y=pv_system_data["cumulative_energy_gen_kWh"],
+        title=f"Generation for System ID: {system_id}",
+    )
+    fig.update_layout(
+        xaxis_title="Time",
+    )
+    fig.show()