def test_wind():
"""
Tests for imporitng wind data.
Currently only try to download a single day's data for each product.
"""
starttime = datetime(2010, 1, 1, 0, 0, 0)
endtime = datetime(2010, 1, 1, 23, 59, 59)
wind.mfi_h0(starttime, endtime)
wind.threedp_pm(starttime, endtime)
wind.swe_h3(starttime, endtime)
def test_mfi_h0(self):
df = wind.mfi_h0(self.starttime, self.endtime)
check_data_output(df)
def test_mfi_h0(self):
df = wind.mfi_h0(self.starttime, self.endtime)
check_datetime_index(df)
from datetime import datetime import matplotlib.pyplot as plt import heliopy.plot.fields as pltfields import heliopy.data.wind as wind starttime = datetime(2003, 5, 15, 0, 0, 0) endtime = datetime(2003, 5, 16, 0, 0, 0) mag = wind.mfi_h0(starttime, endtime) pltfields.jointdists(mag[['Bx_gse', 'By_gse', 'Bz_gse']]) plt.show()
from datetime import datetime, timedelta
import heliopy.data.wind as wind
import matplotlib.pyplot as plt
starttime = datetime(2016, 1, 1, 0, 0, 0)
endtime = starttime + timedelta(hours=2)
data = wind.mfi_h0(starttime, endtime)
print(data.keys())
# Index(['Bx', 'By', 'Bz', 'Br', 'Time'], dtype='object')
plt.plot(data['Time'], data['Bx_gse'], label=r'$B_{x}$')
plt.plot(data['Time'], data['By_gse'], label=r'$B_{y}$')
plt.plot(data['Time'], data['Bz_gse'], label=r'$B_{z}$')
plt.legend()
plt.show()