def generates_summary(self):
Ypre = self.Yp
Ymes = self.Ym
for i in range(len(Ypre)):
RMSE = (np.mean((Ypre[i] - Ymes[i]) ** 2)) ** 0.5
MAE = np.mean(np.abs(Ypre[i] - Ymes[i]))
ME = np.mean(Ypre[i] - Ymes[i])
r = np.corrcoef(Ypre[i], Ymes[i])[1, 0]
Emax = np.min(Ypre[i] - Ymes[i])
Emin = np.max(Ypre[i] - Ymes[i])
dirname = 'summary/'
if not os.path.exists(dirname):
os.mkdir(dirname)
filename = dirname + self.varNames[i] + '.csv'
# ---- Generate File ----
if not os.path.exists(filename):
header = [['Station', 'RMSE', 'MAE', 'ME',
'r', 'Emax', 'Emin']]
save_content_to_csv(filename, header)
# ---- Write Stats to File ----
rowcontent = [[self.staName, '%0.1f' % RMSE, '%0.1f' % MAE,
'%0.2f' % ME, '%0.3f' % r, '%0.1f' % Emax,
'%0.1f' % Emin]]
save_content_to_csv(filename, rowcontent, mode='a')
def datatmpdir(tmpdir):
"""Create a set of water level datafile in various format."""
save_content_to_csv(osp.join(str(tmpdir), FILENAME + '.csv'), DATA)
save_content_to_excel(osp.join(str(tmpdir), FILENAME + '.xls'), DATA)
save_content_to_excel(osp.join(str(tmpdir), FILENAME + '.xlsx'), DATA)
return str(tmpdir)
def save_colors_db(self):
"""Save the color settings to Colors.db."""
fname = 'Colors.db'
fcontent = []
for key in self.RGB.keys():
fcontent.append([key])
fcontent[-1].extend(self.RGB[key])
save_content_to_csv(fname, fcontent)
def save_colors_db(self):
"""Save the color settings to Colors.db."""
fname = 'Colors.db'
fcontent = []
for key in self.RGB.keys():
fcontent.append([key])
fcontent[-1].extend(self.RGB[key])
save_content_to_csv(fname, fcontent)
def save_pref_file(self):
print('\nSaving WHAT preferences to file...')
fcontent = [['Project File:', os.path.relpath(self.projectfile)],
['Language:', self.language],
['Font-Size-General:', self.fontsize_general],
['Font-Size-Console:', self.fontsize_console],
['Font-Size-Menubar:', self.fontsize_menubar]]
save_content_to_csv('WHAT.pref', fcontent)
print('WHAT preferences saved.')
def datatmpdir(tmpdir):
"""Create a set of water level datafile in various format."""
save_content_to_csv(
osp.join(str(tmpdir), FILENAME + '.csv'), DATA)
save_content_to_excel(
osp.join(str(tmpdir), FILENAME + '.xls'), DATA)
save_content_to_excel(
osp.join(str(tmpdir), FILENAME + '.xlsx'), DATA)
return str(tmpdir)
def save_pref_file(self):
print('\nSaving WHAT preferences to file...')
fcontent = [['Project File:',
os.path.relpath(self.projectfile)],
['Language:', self.language],
['Font-Size-General:', self.fontsize_general],
['Font-Size-Console:', self.fontsize_console],
['Font-Size-Menubar:', self.fontsize_menubar]]
save_content_to_csv('WHAT.pref', fcontent)
print('WHAT preferences saved.')
def init_waterlvl_measures(dirname):
"""
Create an empty waterlvl_manual_measurements.csv file with headers
if it does not already exist.
"""
for ext in FILE_EXTS:
fname = os.path.join(dirname, "waterlvl_manual_measurements" + ext)
if os.path.exists(fname):
return
else:
fname = os.path.join(dirname, 'waterlvl_manual_measurements.csv')
fcontent = [['Well_ID', 'Time (days)', 'Obs. (mbgs)']]
if not os.path.exists(dirname):
os.makedirs(dirname)
save_content_to_csv(fname, fcontent)
def add_PET_to_weather_datafile(filename):
"""Add PET to weather data file."""
print('Adding PET to %s...' % os.path.basename(filename), end=' ')
# Load and store original data.
reader = open_weather_datafile(filename)
if reader is None: # pragma: no cover
print('failed')
return
else:
for i, row in enumerate(reader):
if len(row) == 0:
continue
if row[0] == 'Latitude':
lat = float(row[1])
elif row[0] == 'Year':
istart = i + 1
vrbs = row
data = np.array(reader[istart:]).astype('float')
break
Year = data[:, vrbs.index('Year')].astype(int)
Month = data[:, vrbs.index('Month')].astype(int)
Day = data[:, vrbs.index('Day')].astype(int)
Dates = [Year, Month, Day]
Tavg = data[:, vrbs.index('Mean Temp (deg C)')]
x = calc_monthly_mean(Year, Month, Tavg)
Ta = calcul_monthly_normals(x[0], x[1], x[2])
PET = calcul_Thornthwaite(Dates, Tavg, lat, Ta)
# Extend dataset with PET and save the dataset to csv.
if 'ETP (mm)' in vrbs:
indx = vrbs.index('ETP (mm)')
for i in range(len(PET)):
reader[i + istart][indx] = PET[i]
else:
reader[istart - 1].append('ETP (mm)')
for i in range(len(PET)):
reader[i + istart].append(PET[i])
# Save data.
save_content_to_csv(filename, reader)
print('done')
def add_PET_to_weather_datafile(filename):
"""Add PET to weather data file."""
print('Adding PET to %s...' % os.path.basename(filename), end=' ')
# Load and store original data.
reader = open_weather_datafile(filename)
if reader is None: # pragma: no cover
print('failed')
return
else:
for i, row in enumerate(reader):
if len(row) == 0:
continue
if row[0] == 'Latitude':
lat = float(row[1])
elif row[0] == 'Year':
istart = i+1
vrbs = row
data = np.array(reader[istart:]).astype('float')
break
Year = data[:, vrbs.index('Year')].astype(int)
Month = data[:, vrbs.index('Month')].astype(int)
Day = data[:, vrbs.index('Day')].astype(int)
Dates = [Year, Month, Day]
Tavg = data[:, vrbs.index('Mean Temp (deg C)')]
x = calc_monthly_mean(Year, Month, Tavg)
Ta = calcul_monthly_normals(x[0], x[1], x[2])
PET = calcul_Thornthwaite(Dates, Tavg, lat, Ta)
# Extend dataset with PET and save the dataset to csv.
if 'ETP (mm)' in vrbs:
indx = vrbs.index('ETP (mm)')
for i in range(len(PET)):
reader[i+istart][indx] = PET[i]
else:
reader[istart-1].append('ETP (mm)')
for i in range(len(PET)):
reader[i+istart].append(PET[i])
# Save data.
save_content_to_csv(filename, reader)
print('done')
def test_load_waterlvl_measures_withcsv():
filename = os.path.join(os.getcwd(), "waterlvl_manual_measurements.csv")
save_content_to_csv(filename, WLMEAS)
# Test init_waterlvl_measures to be sure the file is not overriden.
init_waterlvl_measures(os.getcwd())
# Assert that it loads the right data.
filename = os.path.join(os.getcwd(), "waterlvl_manual_measurements")
time, wl = load_waterlvl_measures(filename, 'Dummy')
assert len(time) == 0 and isinstance(time, np.ndarray)
assert len(wl) == 0 and isinstance(wl, np.ndarray)
time, wl = load_waterlvl_measures(filename, 'Test')
assert np.all(time == np.array([40623.54167, 40842.54167, 41065.54167]))
assert np.all(wl == np.array([1.43, 1.6, 1.57]))
time, wl = load_waterlvl_measures(filename, "é@#^'")
assert np.all(time == np.array([41240.8125]))
assert np.all(wl == np.array([3.75]))
def test_load_waterlvl_measures_withcsv():
filename = os.path.join(os.getcwd(), "waterlvl_manual_measurements.csv")
save_content_to_csv(filename, WLMEAS)
# Test init_waterlvl_measures to be sure the file is not overriden.
init_waterlvl_measures(os.getcwd())
# Assert that it loads the right data.
filename = os.path.join(os.getcwd(), "waterlvl_manual_measurements")
time, wl = load_waterlvl_measures(filename, 'Dummy')
assert len(time) == 0 and isinstance(time, np.ndarray)
assert len(wl) == 0 and isinstance(wl, np.ndarray)
time, wl = load_waterlvl_measures(filename, 'Test')
assert np.all(time == np.array([40623.54167, 40842.54167, 41065.54167]))
assert np.all(wl == np.array([1.43, 1.6, 1.57]))
time, wl = load_waterlvl_measures(filename, "é@#^'")
assert np.all(time == np.array([41240.8125]))
assert np.all(wl == np.array([3.75]))
def compute_wet_days_LatexTable(dirname):
fname = 'wet_days_0.5mm.csv'
fcontent = [['station', 'Meas. wet days', 'Pred. wet days', 'Err.(days)',
'Err.(%)']]
for root, directories, filenames in os.walk(dirname):
for filename in filenames:
if os.path.splitext(filename)[1] == '.err':
print('---- %s ----' % os.path.basename(root))
pperr = PostProcessErr(os.path.join(root, filename))
preWetDays = np.where(pperr.Yp[3] > 0.5)[0]
mesWetDays = np.where(pperr.Ym[3] > 0.5)[0]
Npre = len(preWetDays)
Nmes = len(mesWetDays)
f = (Npre - Nmes) / float(Nmes) * 100
print('Averaged nbr. of meas. wet days per year = %0.1f days'
% (Nmes/30.))
print('Averaged nbr. of pred. wet days per year = %0.1f days'
% (Npre/30.))
print('Estimation Error = %0.1f days' % ((Npre-Nmes)/30.))
print('Estimation Error = %0.1f %%' % (f))
MI = np.mean(pperr.Ym[3][mesWetDays])
SD = np.std(pperr.Ym[3][mesWetDays])
print('Precipitation intensity = %0.1f mm/day' % MI)
print('Precipitation sdt = %0.1f mm/day' % SD)
fcontent.append([pperr.staName,
'%d' % (Nmes/30.),
'%d' % (Npre/30.),
'%d' % ((Npre-Nmes)/30.),
'%0.1f' % f])
save_content_to_csv(fname, fcontent, mode='a')
delete_file)
from gwhat.projet.reader_waterlvl import (load_waterlvl_measures,
init_waterlvl_measures,
read_water_level_datafile)
# Test reading water level datafiles
# ----------------------------------
DATA = [['Well name = ', "êi!@':i*"], ['well id : ', '1234ABC'],
['Province', 'Qc'], ['latitude ', 45.36],
['Longitude=', -72.4234665345], ['Elevation:', 123], [], [],
['Date', 'WL(mbgs)', 'BP(m)', 'ET'],
[41241.69792, 3.667377006, 10.33327435, 383.9680352],
[41241.70833, 3.665777025, 10.33127437, 387.7404819],
[41241.71875, 3.665277031, 10.33097437, 396.9950643]]
save_content_to_csv("water_level_datafile.csv", DATA)
save_content_to_excel("water_level_datafile.xls", DATA)
save_content_to_excel("water_level_datafile.xlsx", DATA)
def test_reading_waterlvl():
df1 = read_water_level_datafile("water_level_datafile.csv")
df2 = read_water_level_datafile("water_level_datafile.xls")
df3 = read_water_level_datafile("water_level_datafile.xlsx")
assert list(df1.keys()) == list(df2.keys())
assert list(df2.keys()) == list(df3.keys())
expected_results = {
'Well': "êi!@':i*",
'Well ID': '1234ABC',
