More consistency for codes style and format

.pre-commit-config.yaml

@@ -3,24 +3,29 @@ default_stages: [commit]
 fail_fast: true
 
 repos:
-  - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v3.4.0
-    hooks:
-      - id: trailing-whitespace
-        args: [--markdown-linebreak-ext=md]
-      - id: end-of-file-fixer
-      - id: check-yaml
+    - repo: https://github.com/pre-commit/pre-commit-hooks
+      rev: v4.3.0
+      hooks:
+          - id: trailing-whitespace
+            args: [--markdown-linebreak-ext=md]
+          - id: end-of-file-fixer
+          - id: check-yaml
 
-  - repo: https://github.com/timothycrosley/isort
-    rev: 5.9.3
-    hooks:
-      - id: isort
+    - repo: https://github.com/psf/black
+      rev: 22.6.0
+      hooks:
+          - id: black
 
-  # Need to use flake8 GitHub mirror due to CentOS git issue with GitLab
-  # https://github.com/pre-commit/pre-commit/issues/1206
-  - repo: https://github.com/pycqa/flake8
-    rev: 3.9.2
-    hooks:
-      - id: flake8
-        args: ["--config=setup.cfg"]
-        additional_dependencies: [flake8-isort]
+    - repo: https://github.com/timothycrosley/isort
+      rev: 5.10.1
+      hooks:
+          - id: isort
+
+    # Need to use flake8 GitHub mirror due to CentOS git issue with GitLab
+    # https://github.com/pre-commit/pre-commit/issues/1206
+    - repo: https://github.com/pycqa/flake8
+      rev: 4.0.1
+      hooks:
+          - id: flake8
+            args: ["--config=setup.cfg"]
+            additional_dependencies: [flake8-isort]

doc/jupyter/Demo/Demo_0_download_data.ipynb

@@ -62,31 +62,6 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Downloading: 'CMIP5_demo_clims/cmip5.historical.ACCESS1-0.r1i1p1.mon.pr.198101-200512.AC.v20200426.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_clims/cmip5.historical.ACCESS1-0.r1i1p1.mon.pr.198101-200512.AC.v20200426.nc\n",
-      "Downloading: 'CMIP5_demo_clims/cmip5.historical.ACCESS1-0.r1i1p1.mon.rlut.198101-200512.AC.v20200426.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_clims/cmip5.historical.ACCESS1-0.r1i1p1.mon.rlut.198101-200512.AC.v20200426.nc\n",
-      "Downloading: 'CMIP5_demo_clims/cmip5.historical.ACCESS1-0.r1i1p1.mon.zg.198101-200512.AC.v20200426.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_clims/cmip5.historical.ACCESS1-0.r1i1p1.mon.zg.198101-200512.AC.v20200426.nc\n",
-      "Downloading: 'CMIP5_demo_clims/cmip5.historical.CanCM4.r1i1p1.mon.pr.198101-200512.AC.v20200426.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_clims/cmip5.historical.CanCM4.r1i1p1.mon.pr.198101-200512.AC.v20200426.nc\n",
-      "Downloading: 'CMIP5_demo_clims/cmip5.historical.CanCM4.r1i1p1.mon.rlut.198101-200512.AC.v20200426.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_clims/cmip5.historical.CanCM4.r1i1p1.mon.rlut.198101-200512.AC.v20200426.nc\n",
-      "Downloading: 'CMIP5_demo_clims/cmip5.historical.CanCM4.r1i1p1.mon.zg.198101-200512.AC.v20200426.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_clims/cmip5.historical.CanCM4.r1i1p1.mon.zg.198101-200512.AC.v20200426.nc\n",
-      "Downloading: 'CMIP5_demo_clims/cmip6.historical.MCM-UA-1-0.r1i1p1f1.mon.zg.198101-200512.AC.v20201119.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_clims/cmip6.historical.MCM-UA-1-0.r1i1p1f1.mon.zg.198101-200512.AC.v20201119.nc\n",
-      "Downloading: 'CMIP5_demo_data/psl_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_data/psl_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc\n",
-      "Downloading: 'CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc\n",
-      "Downloading: 'CMIP5_demo_data/cmip5.amip.ACCESS1-0.sftlf.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_data/cmip5.amip.ACCESS1-0.sftlf.nc\n",
-      "Downloading: 'CMIP5_demo_data/cmip5.historical.GISS-E2-H.sftlf.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_data/cmip5.historical.GISS-E2-H.sftlf.nc\n",
-      "Downloading: 'CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc\n",
-      "Downloading: 'CMIP5_demo_timeseries/historical/atmos/day/pr/pr_day_GISS-E2-H_historical_r6i1p1_20000101-20051231.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/CMIP5_demo_timeseries/historical/atmos/day/pr/pr_day_GISS-E2-H_historical_r6i1p1_20000101-20051231.nc\n",
-      "Downloading: 'obs4MIPs_PCMDI_clims/rlut/CERES-EBAF-4-0/v20210804/rlut_mon_CERES-EBAF-4-0_PCMDI_gn.200301-201812.AC.v20210804.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/obs4MIPs_PCMDI_clims/rlut/CERES-EBAF-4-0/v20210804/rlut_mon_CERES-EBAF-4-0_PCMDI_gn.200301-201812.AC.v20210804.nc\n",
-      "Downloading: 'obs4MIPs_PCMDI_clims/rlut/CERES-EBAF-4-1/v20210804/rlut_mon_CERES-EBAF-4-1_PCMDI_gn.200301-201812.AC.v20210804.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/obs4MIPs_PCMDI_clims/rlut/CERES-EBAF-4-1/v20210804/rlut_mon_CERES-EBAF-4-1_PCMDI_gn.200301-201812.AC.v20210804.nc\n",
-      "Downloading: 'obs4MIPs_PCMDI_clims/pr/GPCP-2-3/v20210804/pr_mon_GPCP-2-3_PCMDI_gn.200301-201812.AC.v20210804.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/obs4MIPs_PCMDI_clims/pr/GPCP-2-3/v20210804/pr_mon_GPCP-2-3_PCMDI_gn.200301-201812.AC.v20210804.nc\n",
-      "Downloading: 'obs4MIPs_PCMDI_clims/zg/ERA-INT/v20210804/zg_mon_ERA-INT_PCMDI_gn.200301-201812.AC.v20210804.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/obs4MIPs_PCMDI_clims/zg/ERA-INT/v20210804/zg_mon_ERA-INT_PCMDI_gn.200301-201812.AC.v20210804.nc\n",
-      "Downloading: 'obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/zg/gn/v20210727/zg_mon_ERA-INT_PCMDI_gn_198901-201001.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/zg/gn/v20210727/zg_mon_ERA-INT_PCMDI_gn_198901-201001.nc\n",
-      "Downloading: 'obs4MIPs_PCMDI_monthly/NASA-LaRC/CERES-EBAF-4-1/mon/rlut/gn/v20210727/rlut_mon_CERES-EBAF-4-1_PCMDI_gn_200301-201812.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/obs4MIPs_PCMDI_monthly/NASA-LaRC/CERES-EBAF-4-1/mon/rlut/gn/v20210727/rlut_mon_CERES-EBAF-4-1_PCMDI_gn_200301-201812.nc\n",
-      "Downloading: 'obs4MIPs_PCMDI_monthly/NOAA-NCEI/GPCP-2-3/mon/pr/gn/v20210727/pr_mon_GPCP-2-3_PCMDI_gn_197901-201907.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/obs4MIPs_PCMDI_monthly/NOAA-NCEI/GPCP-2-3/mon/pr/gn/v20210727/pr_mon_GPCP-2-3_PCMDI_gn_197901-201907.nc\n",
-      "Downloading: 'obs4MIPs_PCMDI_monthly/NOAA-ESRL-PSD/20CR/mon/psl/gn/v20210727/psl_mon_20CR_PCMDI_gn_187101-201212.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/obs4MIPs_PCMDI_monthly/NOAA-ESRL-PSD/20CR/mon/psl/gn/v20210727/psl_mon_20CR_PCMDI_gn_187101-201212.nc\n",
-      "Downloading: 'obs4MIPs_PCMDI_monthly/MOHC/HadISST-1-1/mon/ts/gn/v20210727/ts_mon_HadISST-1-1_PCMDI_gn_187001-201907.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/obs4MIPs_PCMDI_monthly/MOHC/HadISST-1-1/mon/ts/gn/v20210727/ts_mon_HadISST-1-1_PCMDI_gn_187001-201907.nc\n",
-      "Downloading: 'obs4MIPs_PCMDI_daily/NASA-JPL/GPCP-1-3/day/pr/gn/latest/pr_day_GPCP-1-3_PCMDI_gn_19961002-20170101.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/obs4MIPs_PCMDI_daily/NASA-JPL/GPCP-1-3/day/pr/gn/latest/pr_day_GPCP-1-3_PCMDI_gn_19961002-20170101.nc\n",
-      "Downloading: 'misc_demo_data/atm/3hr/pr/pr_3hr_IPSL-CM5A-LR_historical_r1i1p1_5x5_1997-1999.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/misc_demo_data/atm/3hr/pr/pr_3hr_IPSL-CM5A-LR_historical_r1i1p1_5x5_1997-1999.nc\n",
-      "Downloading: 'misc_demo_data/fx/sftlf.GPCP-IP.1x1.nc' from 'https://pcmdiweb.llnl.gov/pss/pmpdata/' in: demo_data/misc_demo_data/fx/sftlf.GPCP-IP.1x1.nc\n",
       "All files downloaded\n"
      ]
     }
@@ -118,6 +93,7 @@
      "output_type": "stream",
      "text": [
       "Preparing parameter file: basic_mjo_param.py\n",
+      "Preparing parameter file: basic_mov_param_sst.py\n",
       "Preparing parameter file: basic_diurnal_composite.py\n",
       "Preparing parameter file: basic_param.py\n",
       "Preparing parameter file: basic_diurnal_compute_daily_mean.py\n",
@@ -165,7 +141,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.9.7"
   },
   "selected_variables": [],
   "vcdat_file_path": "",

doc/jupyter/Demo/Demo_7_precip_variability.ipynb

@@ -138,7 +138,8 @@
       "noverlap = 1 * 365\n",
       "\n",
       "# flag for cmec formatted JSON\n",
-      "cmec = False\n"
+      "cmec = False\n",
+      "\n"
      ]
     }
    ],
@@ -304,9 +305,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "PS_pr.day_regrid.180x90_GISS-E2-H.historical.nc\r\n",
-      "PS_pr.day_regrid.180x90_GISS-E2-H.historical_unforced.nc\r\n",
-      "PS_pr.day_regrid.180x90_area.freq.mean_GISS-E2-H.historical.json\r\n"
+      "PS_pr.day_regrid.180x90_GISS-E2-H.historical.nc\n",
+      "PS_pr.day_regrid.180x90_GISS-E2-H.historical_unforced.nc\n",
+      "PS_pr.day_regrid.180x90_area.freq.mean_GISS-E2-H.historical.json\n"
      ]
     }
    ],

doc/jupyter/Demo/data_files.txt

@@ -8,14 +8,19 @@ https://pcmdiweb.llnl.gov/pss/pmpdata/
 1abfd5cbcceac61ac51fed2e2c398eed  CMIP5_demo_clims/cmip6.historical.MCM-UA-1-0.r1i1p1f1.mon.zg.198101-200512.AC.v20201119.nc
 d5e86e3680cce1a0004bbe9663d20cf6  CMIP5_demo_data/psl_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
 dd810f1de8a5db5cddf6a0ab22717cdc  CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc
+63ea73e990aa7f2f53de8b493eb3e051  CMIP5_demo_data/cmip5.amip.ACCESS1-0.sftlf.nc
+aa2384a8957af8ee6e652fb6a27f1f4a  CMIP5_demo_data/cmip5.historical.GISS-E2-H.sftlf.nc
 2c402715c026eb1d39ec8e450857ef6e  CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
-804a9542e3681917c9da7ba3d62503fa  PCMDIobs2_clims/atmos/rlut/CERES-EBAF-4-0/rlut_mon_CERES-EBAF-4-0_BE_gn_200003-201810.v20200421.AC.nc
-0358a26ade74574eb44a4c37fb0c59e1  PCMDIobs2_clims/atmos/rlut/CERES-EBAF-4-1/rlut_mon_CERES-EBAF-4-1_BE_gn_200301-201812.v20200421.AC.nc
-d773f68878d213db1c253417f7c7d380  PCMDIobs2_clims/atmos/pr/GPCP-2-3/pr_mon_GPCP-2-3_BE_gn_197901-201907.v20200421.AC.nc
-1a75c3fc6ca9f6dc1867898dcc8343e8  PCMDIobs2_clims/atmos/zg/ERA-INT/zg_mon_ERA-INT_BE_gn_198901-201001.v20200421.AC.nc
-8534afbd8ab49e7a48b64b1f92c813f9  PCMDIobs2/atmos/mon/rlut/CERES-EBAF-4-1/gn/v20200707/rlut_mon_CERES-EBAF-4-1_BE_gn_v20200707_200301-201812.nc
-b6741c3f979b77a23509778f3a28403d  PCMDIobs2/atmos/mon/pr/GPCP-2-3/gn/v20200707/pr_mon_GPCP-2-3_BE_gn_v20200707_197901-201907.nc
-fc21b9030f19abb3f752bd0bf8e42c00  PCMDIobs2/atmos/mon/psl/20CR/gn/v20200707/psl_mon_20CR_BE_gn_v20200707_187101-201212.nc
-f74b3785195105e5b931b17f3e7eac19  PCMDIobs2/atmos/mon/ts/HadISST-1-1/gn/v20200707/ts_mon_HadISST-1-1_BE_gn_v20200707_187001-201907.nc
-1615175d54328d001b817c7e9cb56eeb  PCMDIobs2/atmos/day/pr/GPCP-IP/gn/v20200719/pr_day_GPCP-IP_BE_gn_v20200719_19980101-19981231.nc
+ce9aa736ee548e3dc20749de95b6f3fb  CMIP5_demo_timeseries/historical/atmos/day/pr/pr_day_GISS-E2-H_historical_r6i1p1_20000101-20051231.nc
+2e93205b96244292b10a666fd30ea7ea  obs4MIPs_PCMDI_clims/rlut/CERES-EBAF-4-0/v20210804/rlut_mon_CERES-EBAF-4-0_PCMDI_gn.200301-201812.AC.v20210804.nc
+9f3e08d6a4c2d62bce80fcd7d5ed16ee  obs4MIPs_PCMDI_clims/rlut/CERES-EBAF-4-1/v20210804/rlut_mon_CERES-EBAF-4-1_PCMDI_gn.200301-201812.AC.v20210804.nc
+3792901034585d3d495722f10a0dfecb  obs4MIPs_PCMDI_clims/pr/GPCP-2-3/v20210804/pr_mon_GPCP-2-3_PCMDI_gn.200301-201812.AC.v20210804.nc
+46535764dd4c32912944678eb0aa65c3  obs4MIPs_PCMDI_clims/zg/ERA-INT/v20210804/zg_mon_ERA-INT_PCMDI_gn.200301-201812.AC.v20210804.nc
+d8fb93f31ff4a6370ccee93db82af86c  obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/zg/gn/v20210727/zg_mon_ERA-INT_PCMDI_gn_198901-201001.nc
+61a639f0c8f3d11801352f37702aeaba  obs4MIPs_PCMDI_monthly/NASA-LaRC/CERES-EBAF-4-1/mon/rlut/gn/v20210727/rlut_mon_CERES-EBAF-4-1_PCMDI_gn_200301-201812.nc
+0877f014868b83547448f96c3e7c83e9  obs4MIPs_PCMDI_monthly/NOAA-NCEI/GPCP-2-3/mon/pr/gn/v20210727/pr_mon_GPCP-2-3_PCMDI_gn_197901-201907.nc
+570ce90b3afd1d0b31690ae5dbe32d31  obs4MIPs_PCMDI_monthly/NOAA-ESRL-PSD/20CR/mon/psl/gn/v20210727/psl_mon_20CR_PCMDI_gn_187101-201212.nc
+99c8691e0f615dc4d79b4fb5e926cc76  obs4MIPs_PCMDI_monthly/MOHC/HadISST-1-1/mon/ts/gn/v20210727/ts_mon_HadISST-1-1_PCMDI_gn_187001-201907.nc
+10496775dae2b5f65fe95b064c1efd42  obs4MIPs_PCMDI_daily/NASA-JPL/GPCP-1-3/day/pr/gn/latest/pr_day_GPCP-1-3_PCMDI_gn_19961002-20170101.nc
 eab076619d05c886648f33d507f4a721  misc_demo_data/atm/3hr/pr/pr_3hr_IPSL-CM5A-LR_historical_r1i1p1_5x5_1997-1999.nc
+3214c2480d017662d78ae7e50542beaa  misc_demo_data/fx/sftlf.GPCP-IP.1x1.nc

doc/jupyter/Demo/download_sample_data.py

@@ -48,7 +48,9 @@ def generate_parameter_files(demo_data_directory, demo_output_directory, filenam
         os.mkdir(demo_data_directory)
 
     #  Get the list of files, with md5 sums, and write to local file.
-    r = requests.get("https://pcmdiweb.llnl.gov/pss/pmpdata/pmp_tutorial_files.v20220420.txt")
+    r = requests.get(
+        "https://pcmdiweb.llnl.gov/pss/pmpdata/pmp_tutorial_files.v20220420.txt"
+    )
     data_files_txt = os.path.join(demo_data_directory, "data_files.txt")
     with open(data_files_txt, "wb") as f:
         f.write(r.content)

pcmdi_metrics/diurnal/fourierFFT.py

@@ -23,7 +23,7 @@
     X = numpy.fft.ifft(x)
     a = X.real
     b = X.imag
-    S = numpy.sqrt(a ** 2 + b ** 2)
+    S = numpy.sqrt(a**2 + b**2)
     c = S[:, 0]
     # time of maximum for nth component (n=0 => diurnal, n=1 => semi...)
     tmax = numpy.zeros((nGridPoints, 3))
@@ -76,7 +76,7 @@ def fastAllGridFT(x, t):
     print("Converting from complex-valued FFT to real-valued amplitude and phase ...")
     a = X.real
     b = X.imag
-    S = numpy.sqrt(a ** 2 + b ** 2)
+    S = numpy.sqrt(a**2 + b**2)
     c = S[0]  # Zeroth harmonic = mean-value "constant term" in Fourier series.
     for n in range(3):
         # Adding first + last terms, second + second-to-last, ...

pcmdi_metrics/diurnal/scripts/savg_fourier.py

@@ -173,11 +173,11 @@ def spacevavg(tvarb1, tvarb2, sftlf, model):
             sin_avg_ocn /= 1 - glolf
             # Amplitude and phase:
             # * 86400 Convert kg/m2/s -> mm/d?
-            amp_avg_glo = MV2.sqrt(sin_avg_glo ** 2 + cos_avg_glo ** 2)
+            amp_avg_glo = MV2.sqrt(sin_avg_glo**2 + cos_avg_glo**2)
             # * 86400 Convert kg/m2/s -> mm/d?
-            amp_avg_lnd = MV2.sqrt(sin_avg_lnd ** 2 + cos_avg_lnd ** 2)
+            amp_avg_lnd = MV2.sqrt(sin_avg_lnd**2 + cos_avg_lnd**2)
             # * 86400 Convert kg/m2/s -> mm/d?
-            amp_avg_ocn = MV2.sqrt(sin_avg_ocn ** 2 + cos_avg_ocn ** 2)
+            amp_avg_ocn = MV2.sqrt(sin_avg_ocn**2 + cos_avg_ocn**2)
             pha_avg_glo = MV2.remainder(
                 rad_to_hrs(MV2.arctan2(sin_avg_glo, cos_avg_glo), clocktype), clocktype
             )

pcmdi_metrics/graphics/__init__.py

@@ -1,6 +1,10 @@
 # init file
 # isort: skip_file
-from .share.plot_utils import add_logo, download_archived_results, combine_ref_dicts  # noqa
+from .share.plot_utils import (
+    add_logo,
+    download_archived_results,
+    combine_ref_dicts,
+)  # noqa
 from .share.read_json_mean_clim import (
     read_mean_clim_json_files,
     normalize_by_median,

pcmdi_metrics/graphics/parallel_coordinate_plot/parallel_coordinate_plot_lib.py

@@ -36,7 +36,7 @@ def parallel_coordinate_plot(
     group2_name="group2",
     comparing_models=None,
     fill_between_lines=False,
-    fill_between_lines_colors=("green", "red")
+    fill_between_lines_colors=("green", "red"),
 ):
     """
     Parameters
@@ -183,7 +183,10 @@ def parallel_coordinate_plot(
                     linewidth=0.1,
                     scale="count",
                     scale_hue=False,
-                    palette={group1_name: violin_colors[0], group2_name: violin_colors[1]},
+                    palette={
+                        group1_name: violin_colors[0],
+                        group2_name: violin_colors[1],
+                    },
                 )
 
     # Line or marker
@@ -208,15 +211,30 @@ def parallel_coordinate_plot(
 
     # Fill between lines
     if fill_between_lines and (comparing_models is not None):
-        if (isinstance(comparing_models, tuple)
-                or (isinstance(comparing_models, list) and len(comparing_models) == 2)):
+        if isinstance(comparing_models, tuple) or (
+            isinstance(comparing_models, list) and len(comparing_models) == 2
+        ):
             x = range(N)
             m1 = model_names.index(comparing_models[0])
             m2 = model_names.index(comparing_models[1])
             y1 = zs[m1, :]
             y2 = zs[m2, :]
-            ax.fill_between(x, y1, y2, where=y2 >= y1, facecolor=fill_between_lines_colors[0], interpolate=True)
-            ax.fill_between(x, y1, y2, where=y2 <= y1, facecolor=fill_between_lines_colors[1], interpolate=True)
+            ax.fill_between(
+                x,
+                y1,
+                y2,
+                where=y2 >= y1,
+                facecolor=fill_between_lines_colors[0],
+                interpolate=True,
+            )
+            ax.fill_between(
+                x,
+                y1,
+                y2,
+                where=y2 <= y1,
+                facecolor=fill_between_lines_colors[1],
+                interpolate=True,
+            )
 
     ax.set_xlim(-0.5, N - 0.5)
     ax.set_xticks(range(N))
@@ -317,7 +335,7 @@ def _to_pd_dataframe(
     group1_name="group1",
     group2_name="group2",
 ):
-    print('data.shape:', data.shape)
+    print("data.shape:", data.shape)
     # Pandas dataframe for seaborn plotting
     df = pd.DataFrame(data, columns=metric_names, index=model_names)
     # Stack