From c6c3adca05ea39e01dd01cebe9ff4c5e49022551 Mon Sep 17 00:00:00 2001
From: tomvothecoder <tomvothecoder@gmail.com>
Date: Tue, 28 Nov 2023 16:12:32 -0800
Subject: [PATCH] Fix `black` and `mypy` issues
---
e3sm_diags/derivations/acme.py | 3 ++-
e3sm_diags/driver/arm_diags_driver.py | 3 ---
e3sm_diags/driver/enso_diags_driver.py | 6 +++++-
e3sm_diags/driver/lat_lon_driver.py | 8 ++------
e3sm_diags/driver/polar_driver.py | 8 ++------
e3sm_diags/driver/tc_analysis_driver.py | 9 ++++-----
e3sm_diags/driver/utils/general.py | 2 +-
e3sm_diags/driver/zonal_mean_xy_driver.py | 8 ++------
e3sm_diags/plot/cartopy/annual_cycle_zonal_mean_plot.py | 3 +--
e3sm_diags/plot/cartopy/cosp_histogram_plot.py | 4 +---
e3sm_diags/plot/cartopy/diurnal_cycle_plot.py | 5 ++---
e3sm_diags/plot/cartopy/enso_diags_plot.py | 3 +--
e3sm_diags/plot/cartopy/lat_lon_land_plot.py | 1 -
e3sm_diags/plot/cartopy/lat_lon_plot.py | 4 +---
e3sm_diags/plot/cartopy/lat_lon_river_plot.py | 1 -
e3sm_diags/plot/cartopy/meridional_mean_2d_plot.py | 4 +---
e3sm_diags/plot/cartopy/polar_plot.py | 4 +---
e3sm_diags/plot/cartopy/tc_analysis_plot.py | 1 -
e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py | 4 +---
.../plot/cartopy/zonal_mean_2d_stratosphere_plot.py | 1 -
e3sm_diags/plot/cartopy/zonal_mean_xy_plot.py | 3 +--
e3sm_diags/viewer/lat_lon_viewer.py | 3 ---
e3sm_diags/viewer/mean_2d_viewer.py | 1 -
23 files changed, 28 insertions(+), 61 deletions(-)
diff --git a/e3sm_diags/derivations/acme.py b/e3sm_diags/derivations/acme.py
index b7c4f020a..eca698af2 100644
--- a/e3sm_diags/derivations/acme.py
+++ b/e3sm_diags/derivations/acme.py
@@ -465,7 +465,8 @@ def cosp_bin_sum(
tau_high0: Optional[float],
):
"""sum of cosp bins to calculate cloud fraction in specified cloud top pressure / height and
- cloud thickness bins, input variable has dimension (cosp_prs,cosp_tau,lat,lon)/(cosp_ht,cosp_tau,lat,lon)"""
+ cloud thickness bins, input variable has dimension (cosp_prs,cosp_tau,lat,lon)/(cosp_ht,cosp_tau,lat,lon)
+ """
prs: FileAxis = cld.getAxis(0)
tau: FileAxis = cld.getAxis(1)
diff --git a/e3sm_diags/driver/arm_diags_driver.py b/e3sm_diags/driver/arm_diags_driver.py
index 633c23dcd..56d5f6399 100644
--- a/e3sm_diags/driver/arm_diags_driver.py
+++ b/e3sm_diags/driver/arm_diags_driver.py
@@ -423,7 +423,6 @@ def run_diag_aerosol_activation(parameter: ARMDiagsParameter) -> ARMDiagsParamet
logger.info("Selected region: {}".format(region))
# Possible variables are ccn01, ccn02, ccn05
for variable in variables:
-
test_data = utils.dataset.Dataset(parameter, test=True)
test_a_num = test_data.get_timeseries_variable("a_num", single_point=True)[
@@ -441,7 +440,6 @@ def run_diag_aerosol_activation(parameter: ARMDiagsParameter) -> ARMDiagsParamet
)
if "armdiags" in ref_name:
-
ref_file = os.path.join(
ref_path,
region[:3] + "armdiagsaciactivate" + region[3:5].upper() + ".c1.nc",
@@ -568,7 +566,6 @@ def run_diag_pdf_daily(parameter: ARMDiagsParameter):
def run_diag(parameter: ARMDiagsParameter) -> ARMDiagsParameter:
-
if parameter.diags_set == "annual_cycle":
return run_diag_annual_cycle(parameter)
elif parameter.diags_set == "diurnal_cycle":
diff --git a/e3sm_diags/driver/enso_diags_driver.py b/e3sm_diags/driver/enso_diags_driver.py
index e216b87ae..ff060110a 100644
--- a/e3sm_diags/driver/enso_diags_driver.py
+++ b/e3sm_diags/driver/enso_diags_driver.py
@@ -272,7 +272,11 @@ def run_diag_map(parameter: EnsoDiagsParameter) -> EnsoDiagsParameter:
)
# Reference
- (ref_domain, ref_reg_coe, ref_confidence_levels,) = perform_regression(
+ (
+ ref_domain,
+ ref_reg_coe,
+ ref_confidence_levels,
+ ) = perform_regression(
ref_data,
parameter,
var,
diff --git a/e3sm_diags/driver/lat_lon_driver.py b/e3sm_diags/driver/lat_lon_driver.py
index efc92c386..2b5e63c50 100755
--- a/e3sm_diags/driver/lat_lon_driver.py
+++ b/e3sm_diags/driver/lat_lon_driver.py
@@ -175,12 +175,8 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: # noqa: C901
# Select plev.
for ilev in range(len(plev)):
- mv1 = mv1_p[
- ilev,
- ]
- mv2 = mv2_p[
- ilev,
- ]
+ mv1 = mv1_p[ilev,]
+ mv2 = mv2_p[ilev,]
for region in regions:
parameter.var_region = region
diff --git a/e3sm_diags/driver/polar_driver.py b/e3sm_diags/driver/polar_driver.py
index 75930e7ea..32a8dfc19 100755
--- a/e3sm_diags/driver/polar_driver.py
+++ b/e3sm_diags/driver/polar_driver.py
@@ -133,12 +133,8 @@ def run_diag(parameter: CoreParameter) -> CoreParameter:
# Select plev.
for ilev in range(len(plev)):
- mv1 = mv1_p[
- ilev,
- ]
- mv2 = mv2_p[
- ilev,
- ]
+ mv1 = mv1_p[ilev,]
+ mv2 = mv2_p[ilev,]
for region in regions:
logger.info("Selected region: {}".format(region))
diff --git a/e3sm_diags/driver/tc_analysis_driver.py b/e3sm_diags/driver/tc_analysis_driver.py
index 9db1c06ed..de82b2c1b 100644
--- a/e3sm_diags/driver/tc_analysis_driver.py
+++ b/e3sm_diags/driver/tc_analysis_driver.py
@@ -265,9 +265,9 @@ def _get_vars_from_te_stitch(
vars_dict["yearmc"][k - 1, index - 1] = float(line_split[6])
vars_dict["monthmc"][k - 1, index - 1] = float(line_split[7])
- vars_dict["year_start"] = year_start
- vars_dict["year_end"] = year_end
- vars_dict["num_years"] = year_end - year_start + 1
+ vars_dict["year_start"] = year_start # type: ignore
+ vars_dict["year_end"] = year_end # type: ignore
+ vars_dict["num_years"] = year_end - year_start + 1 # type: ignore
logger.info(
f"TE Start Year: {vars_dict['year_start']}, TE End Year: {vars_dict['year_end']}, Total Years: {vars_dict['num_years']}"
)
@@ -340,7 +340,6 @@ def _derive_metrics_per_basin(
and lat[0] > basin_info[3]
and lat[0] < basin_info[4]
):
-
mod_num_ocn = mod_num_ocn + 1
mod_mon.append(mon[0])
mod_wnd.append(np.max(wind))
@@ -491,7 +490,7 @@ def _calc_mean_ace(vsmc: "MaskedArray", yearic: np.ndarray, num_rows: int) -> fl
wind_ts = wind[wind >= 35]
ace[i] = ace[i] + np.sum(wind_ts**2) / 1e4
- return np.mean(ace)
+ return np.mean(ace) # type: ignore
def _calc_ts_intensity_dist(wind_speeds: List[int]) -> np.ndarray:
diff --git a/e3sm_diags/driver/utils/general.py b/e3sm_diags/driver/utils/general.py
index c051d93c8..b4d5b07fd 100644
--- a/e3sm_diags/driver/utils/general.py
+++ b/e3sm_diags/driver/utils/general.py
@@ -293,7 +293,7 @@ def save_transient_variables_to_netcdf(set_num, variables_dict, label, parameter
Save the transient variables to nc file.
"""
if parameter.save_netcdf:
- for (variable_name, variable) in variables_dict.items():
+ for variable_name, variable in variables_dict.items():
# Set cdms preferences - no compression, no shuffling, no complaining
cdms2.setNetcdfDeflateFlag(1)
# 1-9, min to max - Comes at heavy IO (read/write time cost)
diff --git a/e3sm_diags/driver/zonal_mean_xy_driver.py b/e3sm_diags/driver/zonal_mean_xy_driver.py
index 2069d8c28..195922f05 100755
--- a/e3sm_diags/driver/zonal_mean_xy_driver.py
+++ b/e3sm_diags/driver/zonal_mean_xy_driver.py
@@ -171,12 +171,8 @@ def run_diag(parameter: CoreParameter) -> CoreParameter:
# Select plev.
for ilev in range(len(plev)):
- mv1 = mv1_p[
- ilev,
- ]
- mv2 = mv2_p[
- ilev,
- ]
+ mv1 = mv1_p[ilev,]
+ mv2 = mv2_p[ilev,]
for region in regions:
logger.info(f"Selected region: {region}")
diff --git a/e3sm_diags/plot/cartopy/annual_cycle_zonal_mean_plot.py b/e3sm_diags/plot/cartopy/annual_cycle_zonal_mean_plot.py
index 498b8c4fc..ab72288b4 100644
--- a/e3sm_diags/plot/cartopy/annual_cycle_zonal_mean_plot.py
+++ b/e3sm_diags/plot/cartopy/annual_cycle_zonal_mean_plot.py
@@ -40,7 +40,6 @@ def get_ax_size(fig, ax):
def plot_panel(n, fig, var, clevels, cmap, title, parameters, stats=None):
-
mon = var.getTime()
lat = var.getLatitude()
var = np.transpose(var)
@@ -172,7 +171,7 @@ def plot(reference, test, diff, metrics_dict, parameter):
subpage = np.array(p).reshape(2, 2)
subpage[1, :] = subpage[0, :] + subpage[1, :]
subpage = subpage + np.array(border).reshape(2, 2)
- subpage = list(((subpage) * page).flatten())
+ subpage = list(((subpage) * page).flatten()) # type: ignore
extent = matplotlib.transforms.Bbox.from_extents(*subpage)
# Save subplot
fname = fnm + ".%i." % (i) + f
diff --git a/e3sm_diags/plot/cartopy/cosp_histogram_plot.py b/e3sm_diags/plot/cartopy/cosp_histogram_plot.py
index b4982275f..eab7cd328 100644
--- a/e3sm_diags/plot/cartopy/cosp_histogram_plot.py
+++ b/e3sm_diags/plot/cartopy/cosp_histogram_plot.py
@@ -39,7 +39,6 @@ def get_ax_size(fig, ax):
def plot_panel(n, fig, _, var, clevels, cmap, title, parameters, stats=None):
-
# Contour levels
levels = None
norm = None
@@ -170,7 +169,6 @@ def plot_panel(n, fig, _, var, clevels, cmap, title, parameters, stats=None):
def plot(reference, test, diff, _, parameter):
-
# Create figure, projection
fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi)
@@ -251,7 +249,7 @@ def plot(reference, test, diff, _, parameter):
subpage = np.array(p).reshape(2, 2)
subpage[1, :] = subpage[0, :] + subpage[1, :]
subpage = subpage + np.array(border).reshape(2, 2)
- subpage = list(((subpage) * page).flatten())
+ subpage = list(((subpage) * page).flatten()) # type: ignore
extent = matplotlib.transforms.Bbox.from_extents(*subpage)
# Save subplot
fname = fnm + ".%i." % (i) + f
diff --git a/e3sm_diags/plot/cartopy/diurnal_cycle_plot.py b/e3sm_diags/plot/cartopy/diurnal_cycle_plot.py
index 44560bb2d..b1073af88 100644
--- a/e3sm_diags/plot/cartopy/diurnal_cycle_plot.py
+++ b/e3sm_diags/plot/cartopy/diurnal_cycle_plot.py
@@ -65,7 +65,6 @@ def determine_tick_step(degrees_covered):
def plot_panel(n, fig, proj, var, amp, amp_ref, title, parameter):
-
normalize_test_amp = parameter.normalize_test_amp
specified_max_amp = parameter.normalize_amp_int
@@ -129,7 +128,7 @@ def plot_panel(n, fig, proj, var, amp, amp_ref, title, parameter):
# If less than 0.50 is subtracted, then 0 W will overlap 0 E on the left side of the plot.
# If a number is added, then the value won't show up at all.
if global_domain or full_lon:
- xticks = [0, 60, 120, 180, 240, 300, 359.99]
+ xticks = [0, 60, 120, 180, 240, 300, 359.99] # type: ignore
else:
xticks = np.append(xticks, lon_east)
proj = ccrs.PlateCarree()
@@ -309,7 +308,7 @@ def plot(test_tmax, test_amp, ref_tmax, ref_amp, parameter):
subpage = np.array(p).reshape(2, 2)
subpage[1, :] = subpage[0, :] + subpage[1, :]
subpage = subpage + np.array(border).reshape(2, 2)
- subpage = list(((subpage) * page).flatten())
+ subpage = list(((subpage) * page).flatten()) # type: ignore
extent = matplotlib.transforms.Bbox.from_extents(*subpage)
# Save subplot
subplot_suffix = ".%i." % (i) + f
diff --git a/e3sm_diags/plot/cartopy/enso_diags_plot.py b/e3sm_diags/plot/cartopy/enso_diags_plot.py
index 02c4c3795..457c8a1dc 100644
--- a/e3sm_diags/plot/cartopy/enso_diags_plot.py
+++ b/e3sm_diags/plot/cartopy/enso_diags_plot.py
@@ -63,7 +63,6 @@ def determine_tick_step(degrees_covered):
def plot_panel_map(
n, fig, proj, var, clevels, cmap, title, parameter, conf=None, stats={}
):
-
var = add_cyclic(var)
lon = var.getLongitude()
lat = var.getLatitude()
@@ -330,7 +329,7 @@ def plot_map(
subpage = np.array(p).reshape(2, 2)
subpage[1, :] = subpage[0, :] + subpage[1, :]
subpage = subpage + np.array(border).reshape(2, 2)
- subpage = list(((subpage) * page).flatten())
+ subpage = list(((subpage) * page).flatten()) # type: ignore
extent = matplotlib.transforms.Bbox.from_extents(*subpage)
# Save subplot
subplot_suffix = ".%i." % (i) + f
diff --git a/e3sm_diags/plot/cartopy/lat_lon_land_plot.py b/e3sm_diags/plot/cartopy/lat_lon_land_plot.py
index 1ce44a16d..c7da4782d 100644
--- a/e3sm_diags/plot/cartopy/lat_lon_land_plot.py
+++ b/e3sm_diags/plot/cartopy/lat_lon_land_plot.py
@@ -4,5 +4,4 @@
def plot(reference, test, diff, metrics_dict, parameter):
-
return base_plot(reference, test, diff, metrics_dict, parameter)
diff --git a/e3sm_diags/plot/cartopy/lat_lon_plot.py b/e3sm_diags/plot/cartopy/lat_lon_plot.py
index 1a20ae783..117be5889 100644
--- a/e3sm_diags/plot/cartopy/lat_lon_plot.py
+++ b/e3sm_diags/plot/cartopy/lat_lon_plot.py
@@ -65,7 +65,6 @@ def determine_tick_step(degrees_covered):
def plot_panel( # noqa: C901
n, fig, proj, var, clevels, cmap, title, parameters, stats=None
):
-
var = add_cyclic(var)
lon = var.getLongitude()
lat = var.getLatitude()
@@ -249,7 +248,6 @@ def plot_panel( # noqa: C901
def plot(reference, test, diff, metrics_dict, parameter):
-
# Create figure, projection
fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi)
proj = ccrs.PlateCarree()
@@ -337,7 +335,7 @@ def plot(reference, test, diff, metrics_dict, parameter):
subpage = np.array(p).reshape(2, 2)
subpage[1, :] = subpage[0, :] + subpage[1, :]
subpage = subpage + np.array(border).reshape(2, 2)
- subpage = list(((subpage) * page).flatten())
+ subpage = list(((subpage) * page).flatten()) # type: ignore
extent = matplotlib.transforms.Bbox.from_extents(*subpage)
# Save subplot
fname = fnm + ".%i." % (i) + f
diff --git a/e3sm_diags/plot/cartopy/lat_lon_river_plot.py b/e3sm_diags/plot/cartopy/lat_lon_river_plot.py
index 1ce44a16d..c7da4782d 100644
--- a/e3sm_diags/plot/cartopy/lat_lon_river_plot.py
+++ b/e3sm_diags/plot/cartopy/lat_lon_river_plot.py
@@ -4,5 +4,4 @@
def plot(reference, test, diff, metrics_dict, parameter):
-
return base_plot(reference, test, diff, metrics_dict, parameter)
diff --git a/e3sm_diags/plot/cartopy/meridional_mean_2d_plot.py b/e3sm_diags/plot/cartopy/meridional_mean_2d_plot.py
index 855c35317..09d3ed258 100644
--- a/e3sm_diags/plot/cartopy/meridional_mean_2d_plot.py
+++ b/e3sm_diags/plot/cartopy/meridional_mean_2d_plot.py
@@ -45,7 +45,6 @@ def get_ax_size(fig, ax):
def plot_panel(n, fig, proj, var, clevels, cmap, title, parameters, stats=None):
-
# var_min = float(var.min())
# var_max = float(var.max())
# var_mean = cdutil.averager(var, axis='xy', weights='generate')
@@ -167,7 +166,6 @@ def plot_panel(n, fig, proj, var, clevels, cmap, title, parameters, stats=None):
def plot(reference, test, diff, metrics_dict, parameter):
-
# Create figure, projection
fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi)
# proj = ccrs.PlateCarree(central_longitude=180)
@@ -255,7 +253,7 @@ def plot(reference, test, diff, metrics_dict, parameter):
subpage = np.array(p).reshape(2, 2)
subpage[1, :] = subpage[0, :] + subpage[1, :]
subpage = subpage + np.array(border).reshape(2, 2)
- subpage = list(((subpage) * page).flatten())
+ subpage = list(((subpage) * page).flatten()) # type: ignore
extent = matplotlib.transforms.Bbox.from_extents(*subpage)
# Save subplot
fname = fnm + ".%i." % (i) + f
diff --git a/e3sm_diags/plot/cartopy/polar_plot.py b/e3sm_diags/plot/cartopy/polar_plot.py
index b7439e184..7ec12ad80 100644
--- a/e3sm_diags/plot/cartopy/polar_plot.py
+++ b/e3sm_diags/plot/cartopy/polar_plot.py
@@ -47,7 +47,6 @@ def get_ax_size(fig, ax):
def plot_panel(n, fig, proj, pole, var, clevels, cmap, title, parameters, stats=None):
-
var = add_cyclic(var)
lon = var.getLongitude()
lat = var.getLatitude()
@@ -158,7 +157,6 @@ def plot_panel(n, fig, proj, pole, var, clevels, cmap, title, parameters, stats=
def plot(reference, test, diff, metrics_dict, parameter):
-
# Create figure, projection
fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi)
@@ -262,7 +260,7 @@ def plot(reference, test, diff, metrics_dict, parameter):
subpage = np.array(p).reshape(2, 2)
subpage[1, :] = subpage[0, :] + subpage[1, :]
subpage = subpage + np.array(border).reshape(2, 2)
- subpage = list(((subpage) * page).flatten())
+ subpage = list(((subpage) * page).flatten()) # type: ignore
extent = matplotlib.transforms.Bbox.from_extents(*subpage)
# Save subplot
fname = fnm + ".%i." % (i) + f
diff --git a/e3sm_diags/plot/cartopy/tc_analysis_plot.py b/e3sm_diags/plot/cartopy/tc_analysis_plot.py
index a9d90a08a..2b3a6b357 100644
--- a/e3sm_diags/plot/cartopy/tc_analysis_plot.py
+++ b/e3sm_diags/plot/cartopy/tc_analysis_plot.py
@@ -63,7 +63,6 @@ def get_ax_size(fig, ax):
def plot_panel(n, fig, proj, var, var_num_years, region, title):
-
ax = fig.add_axes(panel[n], projection=proj)
ax.set_extent(plot_info[region][0], ccrs.PlateCarree())
diff --git a/e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py b/e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py
index 785caf15d..83a9b48a8 100644
--- a/e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py
+++ b/e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py
@@ -46,7 +46,6 @@ def get_ax_size(fig, ax):
def plot_panel(n, fig, proj, var, clevels, cmap, title, parameters, stats=None):
-
# var_min = float(var.min())
# var_max = float(var.max())
# var_mean = cdutil.averager(var, axis='xy', weights='generate')
@@ -187,7 +186,6 @@ def plot_panel(n, fig, proj, var, clevels, cmap, title, parameters, stats=None):
def plot(reference, test, diff, metrics_dict, parameter):
-
# Create figure, projection
fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi)
# proj = ccrs.PlateCarree(central_longitude=180)
@@ -277,7 +275,7 @@ def plot(reference, test, diff, metrics_dict, parameter):
subpage = np.array(p).reshape(2, 2)
subpage[1, :] = subpage[0, :] + subpage[1, :]
subpage = subpage + np.array(border).reshape(2, 2)
- subpage = list(((subpage) * page).flatten())
+ subpage = list(((subpage) * page).flatten()) # type: ignore
extent = matplotlib.transforms.Bbox.from_extents(*subpage)
# Save subplot
fname = fnm + ".%i." % (i) + f
diff --git a/e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py b/e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py
index b600cb021..e9bab3713 100644
--- a/e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py
+++ b/e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py
@@ -4,5 +4,4 @@
def plot(reference, test, diff, metrics_dict, parameter):
-
return base_plot(reference, test, diff, metrics_dict, parameter)
diff --git a/e3sm_diags/plot/cartopy/zonal_mean_xy_plot.py b/e3sm_diags/plot/cartopy/zonal_mean_xy_plot.py
index 1bff35dd7..938faab48 100644
--- a/e3sm_diags/plot/cartopy/zonal_mean_xy_plot.py
+++ b/e3sm_diags/plot/cartopy/zonal_mean_xy_plot.py
@@ -37,7 +37,6 @@ def get_ax_size(fig, ax):
def plot(reference, test, diff, metrics_dict, parameter):
-
# Create figure
fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi)
@@ -121,7 +120,7 @@ def plot(reference, test, diff, metrics_dict, parameter):
subpage = np.array(p).reshape(2, 2)
subpage[1, :] = subpage[0, :] + subpage[1, :]
subpage = subpage + np.array(border).reshape(2, 2)
- subpage = list(((subpage) * page).flatten())
+ subpage = list(((subpage) * page).flatten()) # type: ignore
extent = matplotlib.transforms.Bbox.from_extents(*subpage)
# Save subplot
fname = fnm + ".%i." % (i) + f
diff --git a/e3sm_diags/viewer/lat_lon_viewer.py b/e3sm_diags/viewer/lat_lon_viewer.py
index 28ef759a4..678c68748 100644
--- a/e3sm_diags/viewer/lat_lon_viewer.py
+++ b/e3sm_diags/viewer/lat_lon_viewer.py
@@ -253,7 +253,6 @@ def _create_lat_lon_table_index(
# --- Function to read CMIP6 model metrics ---
def read_cmip6_metrics_from_csv(path, variables, seasons):
-
models = []
with open(path, "r") as fin:
@@ -292,7 +291,6 @@ def read_cmip6_metrics_from_csv(path, variables, seasons):
# --- Function to read E3SM Diags metrics ---
def read_e3sm_diags_metrics(path, variables, seasons, names=None):
-
# List of available models
models = []
paths = []
@@ -674,7 +672,6 @@ def _create_csv_from_dict_taylor_diag(
# Add samples for baseline simulation.
if run_type == "model_vs_obs":
-
# Read the control run data.
# Example base line csv file name: JJA_metrics_table_taylor_diag_historical_1985-2014_E3SMv1.csv
for ibase, base_line_csv_path in enumerate(base_line_csv_paths):
diff --git a/e3sm_diags/viewer/mean_2d_viewer.py b/e3sm_diags/viewer/mean_2d_viewer.py
index 2ba6ba0e5..e9a2332be 100644
--- a/e3sm_diags/viewer/mean_2d_viewer.py
+++ b/e3sm_diags/viewer/mean_2d_viewer.py
@@ -39,7 +39,6 @@ def create_viewer(root_dir, parameters):
for var in param.variables:
for season in param.seasons:
for region in param.regions:
-
try:
viewer.set_group(param.case_id)
except RuntimeError: