Note
Click here to download the full example code
Profile Plot¶
What it's for: A Profile plot visualizes the vertical distribution of a variable (e.g., temperature, humidity, or pollutant concentration) through the atmosphere or a body of water.
When to use: Use this for atmospheric soundings (radiosondes), LIDAR/SODAR measurements, or model vertical grid evaluation. It is essential for understanding the stability of the atmosphere or the structure of the planetary boundary layer.
How to read: * X-axis: The variable of interest (e.g., Temperature, Mixing Ratio). * Y-axis: Altitude (meters, kilometers) or Pressure (hPa). In meteorology, it is common to use pressure as a vertical coordinate. * Interpretation: The slope of the line indicates the vertical gradient of the variable (e.g., the lapse rate for temperature).
import matplotlib.pyplot as plt
import numpy as np
from monet_plots.plots.profile import ProfilePlot
# 1. Prepare sample 1D data
altitude = np.linspace(0, 10000, 100) # meters
temperature = 20 - 0.0065 * altitude + 5 * np.sin(altitude / 1000) # degrees Celsius
# 2. Initialize and create the plot
plot = ProfilePlot(x=temperature, y=altitude, figsize=(7, 9))
plot.plot(color="red", linewidth=2, label="Temperature Profile")
# 3. Add titles and labels
plot.ax.set_title("Atmospheric Temperature Profile")
plot.ax.set_xlabel("Temperature (°C)")
plot.ax.set_ylabel("Altitude (m)")
plot.ax.legend()
plot.ax.grid(True, linestyle="--", alpha=0.6)
plt.tight_layout()
plt.show()
Total running time of the script: ( 0 minutes 0.350 seconds)
Download Python source code: plot_profile.py