This tutorial shows how to use the pvlib.tmy module to read data from TMY2 and TMY3 files.
This tutorial has been tested against the following package versions:
Authors:
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# built in python modules
import datetime
import os
import inspect
# python add-ons
import numpy as np
import pandas as pd
# plotting libraries
%matplotlib inline
import matplotlib.pyplot as plt
try:
import seaborn as sns
except ImportError:
pass
import pvlib
pvlib comes packaged with a TMY2 and a TMY3 data file.
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# Find the absolute file path to your pvlib installation
pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))
Import the TMY data using the functions in the pvlib.tmy module.
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tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv'))
tmy2_data, tmy2_metadata = pvlib.tmy.readtmy2(os.path.join(pvlib_abspath, 'data', '12839.tm2'))
Print the TMY3 metadata and the first 5 lines of the data.
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print(tmy3_metadata)
tmy3_data.head(5)
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tmy3_data['GHI'].plot()
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The TMY readers have an optional argument to coerce the year to a single value.
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tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv'), coerce_year=1987)
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tmy3_data['GHI'].plot()
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Here's the TMY2 data.
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print(tmy2_metadata)
print(tmy2_data.head())
Finally, the TMY readers can access TMY files directly from the NREL website.
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tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3('http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/data/tmy3/722740TYA.CSV', coerce_year=2015)
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tmy3_data['GHI'].plot(figsize=(12,6))
plt.title('Tucson TMY GHI')
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