update

.gitignore

@@ -1,2 +1,4 @@
 __pycache__/
 *.py[cod]
+venv/
+gc_wrapper/GC_DATA/

duration_comparison.py

@@ -1,5 +1,5 @@
 try:
-    from GC_Wrapper import GC_wrapper as GC
+    from gc_wrapper.GC_Wrapper import GC_wrapper as GC
 except ImportError:
     pass
 

requirements.txt

@@ -0,0 +1,2 @@
+plotly
+pandas

weight_trend.py

@@ -0,0 +1,54 @@
+import pandas as pd
+import numpy as np
+
+WEIGHT_RANGE = [75, 85]
+
+
+def get_weight_measures():
+    # query non-zero
+    data = pd.DataFrame(GC.seasonMeasures(group="Body")).query("WEIGHTKG != 0.0")[
+        ["date", "WEIGHTKG"]
+    ]
+    weight = data["WEIGHTKG"].to_numpy().flatten()
+    weight_shifted = data["WEIGHTKG"].shift(periods=1)
+    weight_shifted.loc[0] = 0.0
+    weight_shifted = weight_shifted.to_numpy().flatten()
+    change = weight - weight_shifted
+    indices = np.argwhere(change != 0.0).flatten()
+    weight = weight[indices]
+    date = (
+        data["date"].loc[indices] - pd.to_datetime("1900-01-01").date()
+    ).dt.days.to_numpy()
+    return pd.DataFrame(
+        np.hstack([date.reshape([-1, 1]), weight.reshape([-1, 1])]),
+        columns=["date", "WEIGHTKG"],
+    )
+
+
+weight_data = get_weight_measures()
+GC.setChart(
+    type=GC.CHART_LINE,
+    orientation=GC_VERTICAL,
+    legpos=GC_ALIGN_RIGHT,
+    stack=False,
+    animate=True,
+)
+settings = {
+    "symbol": GC_SYMBOL_CIRCLE,
+    "line": GC_LINE_SOLID,
+    "color": "red",
+    "opacity": 100,
+    "xaxis": "Date",
+    "yaxis": "Weight",
+    "size": 3,
+    "opengl": False,
+}
+GC.addCurve(name="Weight", x=weight_data["date"], y=weight_data["WEIGHTKG"], **settings)
+GC.setAxis("Date", type=GC.AXIS_DATE)
+GC.setAxis(
+    "Weight",
+    type=GC.AXIS_CONTINUOUS,
+    min=WEIGHT_RANGE[0],
+    max=WEIGHT_RANGE[1],
+    color="red",
+)