Update README.md

README.md

@@ -40,3 +40,48 @@ To work with Hugging Face datasets in Python:
 pip install datasets
 pip install pillow soundfile numpy
 pip install pillow soundfile huggingface_hub
+```
+
+## Visual Example
+
+```python
+import pygmt
+import pandas as pd
+
+# Sample DataFrame
+data = {
+    "longitude": [-90.47, -90.45, -90.44, -90.42, -90.40, -90.38, -90.36],
+    "latitude": [28.27, 28.29, 28.31, 28.33, 28.35, 28.37, 28.39],
+    "temp": [-18.5, -18.5, -18.5, -18.5, -18.5, -18.5, -18.2]  # One different value
+}
+
+df = pd.DataFrame(data)
+
+fig = pygmt.Figure()
+
+# Set region based on data
+minlon, maxlon = df["longitude"].min() - 1, df["longitude"].max() + 1
+minlat, maxlat = df["latitude"].min() - 1, df["latitude"].max() + 1
+
+# Create basemap
+fig.basemap(region=[minlon, maxlon, minlat, maxlat], projection="M15c", frame=True)
+fig.coast(shorelines="1/0.5p", land="lightgray", water="white")
+
+# Define CPT based on temperature range
+pygmt.makecpt(cmap="hot", series=[df["temp"].min(), df["temp"].max()])
+
+# Plot colored points
+fig.plot(
+    x=df["longitude"],
+    y=df["latitude"],
+    style="c0.5c",
+    cmap=True,
+    fill=df["temp"],
+    pen="black"
+)
+
+# Add colorbar
+fig.colorbar(frame='af+l"Temperature (°C)"')
+
+fig.show()
+```