.. _sphx_glr_examples_plot_timeseries.py: ==================== Plot Timeseries Data ==================== .. image:: /examples/images/sphx_glr_plot_timeseries_001.png :align: center .. rst-class:: sphx-glr-script-out Out:: model scenario region variable unit year value 9 MESSAGE-GLOBIOM SSP2-26 R5ASIA Emissions|CO2 Mt CO2/yr 2005 10488.011 15 MESSAGE-GLOBIOM SSP2-26 R5LAM Emissions|CO2 Mt CO2/yr 2005 5086.483 12 MESSAGE-GLOBIOM SSP2-26 R5MAF Emissions|CO2 Mt CO2/yr 2005 4474.073 3 MESSAGE-GLOBIOM SSP2-26 R5OECD Emissions|CO2 Mt CO2/yr 2005 14486.522 6 MESSAGE-GLOBIOM SSP2-26 R5REF Emissions|CO2 Mt CO2/yr 2005 2742.073 | .. code-block:: python import matplotlib.pyplot as plt import pyam fname = 'data.csv' df = pyam.IamDataFrame(fname, encoding='ISO-8859-1') df = (df .filter({'variable': 'Emissions|CO2'}) .filter({'region': 'World'}, keep=False) ) print(df.head()) fig, ax = plt.subplots(figsize=(8, 8)) df.line_plot(ax=ax, color='region') plt.show() **Total running time of the script:** ( 0 minutes 1.049 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: plot_timeseries.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: plot_timeseries.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_