def write_html(lon, lat, directory=None, zoom=None):
# Set defaults
if directory is None:
directory = mkdtemp()
if zoom is None:
zoom = cfg.default_zoom
# Info string
lonlat_str = '({:.3f}E, {:.3f}N)'.format(abs(lon), abs(lat))
if lon < 0:
lonlat_str = lonlat_str.replace('E', 'W')
if lat < 0:
lonlat_str = lonlat_str.replace('N', 'S')
mkdir(directory)
# Make the plot
png = os.path.join(directory, 'annual_cycle.png')
df = get_cru_timeseries(lon, lat)
#print(df)
#print(df.grid_point_elevation)
#print(np.isnan(df.grid_point_elevation))
#print(np.min(df.lat))
#print(np.max(df.lat))
if np.isnan(df.grid_point_elevation) == True:
raise Exception(
"Choose location over land and also not over the Antarctic!")
#print(df.grid_point_elevation)
#print(np.isnan(df).all())
#print(np.isnan(np.sum(all(np.isnan(df).all()))))
#print(np.isnan(np.sum(np.isnan(df).all())))
#print(all(np.isnan(df)))
#print(all(np.isnan(df).all()))
graphics.plot_annual_cycle(df, filepath=png)
outpath = os.path.join(directory, 'index.html')
with open(cfg.html_tpl, 'r') as infile:
lines = infile.readlines()
out = []
url = get_googlemap_url(lon, lat, zoom=zoom)
for txt in lines:
txt = txt.replace('[LONLAT]', lonlat_str)
txt = txt.replace('[IMGURL]', url)
out.append(txt)
with open(outpath, 'w') as outfile:
outfile.writelines(out)
return outpath
def write_html(lon, lat, directory=None, zoom=None):
# Set defaults
if directory is None:
directory = mkdtemp()
if zoom is None:
zoom = cfg.default_zoom
# Info string
lonlat_str = '({:.3f}E, {:.3f}N)'.format(abs(lon), abs(lat))
if lon < 0:
lonlat_str = lonlat_str.replace('E', 'W')
if lat < 0:
lonlat_str = lonlat_str.replace('N', 'S')
mkdir(directory)
# Modified by Raphael:
# Make the plot
png1 = os.path.join(directory, 'annual_cycle.png')
png2 = os.path.join(directory, 'temp_trend.png')
png3 = os.path.join(directory, 'prec_trend.png')
df = get_cru_timeseries(lon, lat)
# Checks if data is available.
if df['tmp'].isnull().values.all():
sys.exit('Location in ocean or no data available. ' +
'Please type in a valid location.')
graphics.plot_annual_cycle(df, filepath=png1)
graphics.plot_trend_temp(df, filepath=png2)
graphics.plot_trend_prec(df, filepath=png3)
outpath = os.path.join(directory, 'index.html')
with open(cfg.html_tpl, 'r') as infile:
lines = infile.readlines()
out = []
url = get_googlemap_url(lon, lat, zoom=zoom)
for txt in lines:
txt = txt.replace('[LONLAT]', lonlat_str)
txt = txt.replace('[IMGURL]', url)
out.append(txt)
with open(outpath, 'w') as outfile:
outfile.writelines(out)
return outpath
def write_html(lon, lat, directory=None, zoom=None):
# Set defaults
if directory is None:
directory = mkdtemp()
if zoom is None:
zoom = cfg.default_zoom
# Info string
lonlat_str = '({:.3f}E, {:.3f}N)'.format(abs(lon), abs(lat))
if lon < 0:
lonlat_str = lonlat_str.replace('E', 'W')
if lat < 0:
lonlat_str = lonlat_str.replace('N', 'S')
mkdir(directory)
# Make the plot
png = os.path.join(directory, 'annual_cycle.png')
df = get_cru_timeseries(lon, lat)
#check if df has NaNs
if df.isnull().any().any():
print(
"The location you chose is not available. Please choose another location."
)
sys.exit()
graphics.plot_annual_cycle(df, filepath=png)
print(df)
outpath = os.path.join(directory, 'index.html')
with open(cfg.html_tpl, 'r') as infile:
lines = infile.readlines()
out = []
url = get_googlemap_url(lon, lat, zoom=zoom)
for txt in lines:
txt = txt.replace('[LONLAT]', lonlat_str)
txt = txt.replace('[IMGURL]', url)
out.append(txt)
with open(outpath, 'w') as outfile:
outfile.writelines(out)
return outpath
def write_html(lon, lat, directory=None, zoom=None):
# Set defaults
if directory is None:
directory = mkdtemp()
if zoom is None:
zoom = cfg.default_zoom
# Info string
lonlat_str = '({:.3f}E, {:.3f}N)'.format(abs(lon), abs(lat))
if lon < 0:
lonlat_str = lonlat_str.replace('E', 'W')
if lat < 0:
lonlat_str = lonlat_str.replace('N', 'S')
mkdir(directory)
# Make the plot
png = os.path.join(directory, 'annual_cycle.png')
png2 = os.path.join(directory, 'time_line.png')
df = get_cru_timeseries(lon, lat)
# Check for NaNs in DataFrame
if not df.isnull().values.any():
graphics.plot_annual_cycle(df, filepath=png)
graphics.plot_time_line(df, filepath=png2)
outpath = os.path.join(directory, 'index.html')
with open(cfg.html_tpl, 'r') as infile:
lines = infile.readlines()
out = []
url = get_googlemap_url(lon, lat, zoom=zoom)
for txt in lines:
txt = txt.replace('[LONLAT]', lonlat_str)
txt = txt.replace('[IMGURL]', url)
out.append(txt)
with open(outpath, 'w') as outfile:
outfile.writelines(out)
return outpath
else:
raise ValueError('No data available over the ocean. '
'Try for different location!')
def test_annual_cycle(tmpdir):
df_cities = pd.read_csv(cfg.world_cities)
dfi = df_cities.loc[df_cities.Name.str.contains('innsbruck', case=False,
na=False)].iloc[0]
df = core.get_cru_timeseries(dfi.Lon, dfi.Lat)
fig = graphics.plot_annual_cycle(df)
# Check that the text is found in figure
ref = 'Climate diagram at location (11.25°, 47.25°)'
test = [ref in t.get_text() for t in fig.findobj(mpl.text.Text)]
assert np.any(test)
# Check that figure is created
fpath = str(tmpdir.join('annual_cycle.png'))
graphics.plot_annual_cycle(df, filepath=fpath)
assert os.path.exists(fpath)
plt.close()
def write_html(lon, lat, directory=None, zoom=None):
# Set defaults
if directory is None:
# Since WSL is a bit special and no auto ouptput to browser is possible
# I have to print to a tmp folder. Default is a bit messy to find in
# WSL so specifying a new one.
tmp_dir = ('/mnt/c/Users/eahol/Courses/Scientific programming/ClimVis/'
'tmp/')
directory = mkdtemp(dir=tmp_dir)
if zoom is None:
zoom = cfg.default_zoom
# Info string
lonlat_str = '({:.3f}E, {:.3f}N)'.format(abs(lon), abs(lat))
if lon < 0:
lonlat_str = lonlat_str.replace('E', 'W')
if lat < 0:
lonlat_str = lonlat_str.replace('N', 'S')
mkdir(directory)
# Make the plot
png = os.path.join(directory, 'annual_cycle.png')
df = get_cru_timeseries(lon, lat)
graphics.plot_annual_cycle(df, filepath=png)
outpath = os.path.join(directory, 'index.html')
with open(cfg.html_tpl, 'r') as infile:
lines = infile.readlines()
out = []
url = get_googlemap_url(lon, lat, zoom=zoom)
for txt in lines:
txt = txt.replace('[LONLAT]', lonlat_str)
txt = txt.replace('[IMGURL]', url)
out.append(txt)
with open(outpath, 'w') as outfile:
outfile.writelines(out)
return outpath