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Update app.py
Browse files
app.py
CHANGED
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@@ -22,6 +22,15 @@ try:
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except Exception:
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HAS_PYGMT = False
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# -----------------------------
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# 台北時區 (UTC+8)
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# -----------------------------
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@@ -187,12 +196,10 @@ def plot_map_path(df):
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if df.empty:
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return None
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# 先清一下 NaN
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d = df.dropna(subset=["Lon", "Lat"]).copy()
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if d.empty:
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return None
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# 數值化
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d["Magnitude"] = pd.to_numeric(d["Magnitude"], errors="coerce").fillna(0).clip(lower=0)
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d["Depth_km"] = pd.to_numeric(d["Depth_km"], errors="coerce").fillna(0)
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@@ -204,8 +211,9 @@ def plot_map_path(df):
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fig = pygmt.Figure()
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fig.coast(
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region=region, projection="M12c",
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frame=["WSen", "xaf", "yaf"]
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)
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fig.plot(
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@@ -220,7 +228,7 @@ def plot_map_path(df):
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fig.savefig(outpath, dpi=220)
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return outpath
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# --- Matplotlib
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region = _auto_region_from_df(d, pad=0.5)
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lon_min, lon_max, lat_min, lat_max = region
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except Exception:
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HAS_PYGMT = False
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# ---- 自動抓取 PyGMT 所需的海岸線/國界資料(GSHHG/DCW) ----
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if 'HAS_PYGMT' in globals() and HAS_PYGMT:
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try:
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pygmt.which("@gshhg", download=True)
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pygmt.which("@dcw", download=True)
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except Exception:
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# 若下載失敗就靜默忽略,之後會走 matplotlib 備援
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pass
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# -----------------------------
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# 台北時區 (UTC+8)
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# -----------------------------
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if df.empty:
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return None
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d = df.dropna(subset=["Lon", "Lat"]).copy()
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if d.empty:
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return None
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d["Magnitude"] = pd.to_numeric(d["Magnitude"], errors="coerce").fillna(0).clip(lower=0)
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d["Depth_km"] = pd.to_numeric(d["Depth_km"], errors="coerce").fillna(0)
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fig = pygmt.Figure()
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fig.coast(
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region=region, projection="M12c",
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resolution="i", # 中解析度海岸線
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land="lightgray", water="lightblue",
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shorelines="0.8p,black", borders="1/0.6p,black",
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frame=["WSen", "xaf", "yaf"]
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)
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fig.plot(
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fig.savefig(outpath, dpi=220)
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return outpath
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# --- Matplotlib 備援(自動範圍,無海岸線) ---
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region = _auto_region_from_df(d, pad=0.5)
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lon_min, lon_max, lat_min, lat_max = region
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