Plot the 1D ScatterData

This example shows how to plot the 1D ScatterData object. I use a CO2 data file from the Antarctic EDC ice core (https://doi.pangaea.de/10.1594/PANGAEA.472488) as an example.

The following features are used:

1. Load the data (which just download from Pangaea without any modification)

2. Plot the raw data

3. Plot the interpolated data (based on cubic spline interpolation)

4. Plot the rolling averaged data

from cgeniepy.table import ScatterData
import matplotlib.pyplot as plt

# Load data
url = "https://doi.pangaea.de/10.1594/PANGAEA.472488"
edc_co2 = ScatterData(url)
edc_co2.set_index(['Gas age'])

fig = plt.figure(figsize=(5, 4))
ax = fig.add_subplot(111)

# Plot the raw data
edc_co2.plot(var='CO2', ax=ax,
        label='Raw Data', kind='scatter',
        edgecolor='black', facecolor='none', marker='o')

# # Plot the interpolated data (based on cubic spline interpolation)
interpolated_data = edc_co2.interpolate(var='CO2')
interpolated_data.plot(var='CO2', ax=ax, label='Interpolated', kind='line')

ax.legend()
plt.show()