def monthly_mean(df):
'''Return DataFrame of monthly mean of the float data. These columns need
to be in df: ['wmo', 'year', 'month']
'''
mdf = df.groupby(['wmo', 'year', 'month']).mean()
mdf['o2sat'] = 100 * (mdf.DOXY_ADJUSTED / o2sat(mdf.PSAL_ADJUSTED, mdf.TEMP_ADJUSTED))
return mdf
def monthly_mean(df):
'''Return DataFrame of monthly mean of the float data. These columns need
to be in df: ['wmo', 'year', 'month']
'''
mdf = df.groupby(['wmo', 'year', 'month']).mean()
mdf['o2sat'] = 100 * (mdf.DOXY_ADJUSTED /
o2sat(mdf.PSAL_ADJUSTED, mdf.TEMP_ADJUSTED))
return mdf
def test_util_o2sat(self):
# See http://www.engineeringtoolbox.com/oxygen-solubility-water-d_841.html
self.assertAlmostEqual(utils.o2sat(35, 5), 308, places=0)
self.assertAlmostEqual(utils.o2sat(35, 20), 225, places=0)
self.assertAlmostEqual(utils.o2sat(35, 30), 190, places=0)
def test_util_o2sat(self):
# See http://www.engineeringtoolbox.com/oxygen-solubility-water-d_841.html
self.assertAlmostEqual(utils.o2sat(35, 5), 308, places=0)
self.assertAlmostEqual(utils.o2sat(35, 20), 225, places=0)
self.assertAlmostEqual(utils.o2sat(35, 30), 190, places=0)
