Repository: MannLabs/alphapept (language: python)

Issue:
Quantification plots
Some bugfixes on the quantitative evaluation plots:

* Missing values in Maxquant and AP are denoted with 0 and NaN respectively. This affects the filtering. 
* Set all to NaN and filter accordingly
* Species identifier of MaxQuant was set to NaN for unidentified species and not recognized in the plotting. Replace NaN with "X"


Discussion / hints:

Fix patch:
diff --git a/Systems_check.ipynb b/Systems_check.ipynb
index ff685ab0..5aaabf78 100644
--- a/Systems_check.ipynb
+++ b/Systems_check.ipynb
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       "\n",
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       "\n",
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       "\n",
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+      "76%|██████████████████████████████████████████████████▍               | 0.7641095241008075/1 [13:19<03:36, 917.71s/it]\u001b[A\u001b[A\n",
       "\n",
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       "\n",
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      "name": "stderr",
      "output_type": "stream",
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       "\n",
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       "\n",
@@ -6154,7 +6154,7 @@
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      "output_type": "stream",
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       "\n",
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       "\n",
@@ -6288,7 +6288,7 @@
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      "output_type": "stream",
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       "\n",
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       "\n",
@@ -6422,7 +6422,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
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+      "85%|███████████████████████████████████████████████████████▊          | 0.8455025079520431/1 [13:46<00:22, 146.42s/it]\u001b[A\u001b[A\n",
       "\n",
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       "\n",
@@ -6658,7 +6658,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
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+      "90%|███████████████████████████████████████████████████████████▍      | 0.9005527774848624/1 [13:57<00:27, 273.59s/it]\u001b[A\u001b[A\n",
       "\n",
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       "\n",
@@ -6792,7 +6792,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
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+      "93%|█████████████████████████████████████████████████████████████▏    | 0.9265911777601412/1 [14:04<00:18, 258.08s/it]\u001b[A\u001b[A\n",
       "\n",
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       "\n",
@@ -6926,7 +6926,7 @@
      "name": "stderr",
      "output_type": "stream",
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+      "96%|███████████████████████████████████████████████████████████████▏  | 0.9572256508732885/1 [14:11<00:08, 205.07s/it]\u001b[A\u001b[A\n",
       "\n",
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       "\n",
@@ -7060,7 +7060,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
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+      "99%|█████████████████████████████████████████████████████████████████▍| 0.9923451973293521/1 [14:18<00:01, 185.64s/it]\u001b[A\u001b[A\n",
       "\n",
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       "\n",
@@ -7109,7 +7109,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\n",
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@@ -7196,7 +7196,7 @@
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      "output_type": "stream",
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      ]
     },
@@ -7217,7 +7217,7 @@
      "name": "stderr",
      "output_type": "stream",
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-      "\r",
+      "\n",
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      ]
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@@ -7746,7 +7746,7 @@
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+      "\n",
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      ]
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@@ -9231,7 +9231,7 @@
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+      "\n",
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@@ -9265,7 +9265,7 @@
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+      "0%|                                                                                            | 0/1 [00:09<?, ?it/s]\n",
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      ]
     },
@@ -9286,7 +9286,7 @@
      "name": "stderr",
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-      "\r",
+      "\n",
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      ]
     },
@@ -9780,7 +9780,7 @@
      "name": "stderr",
      "output_type": "stream",
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+      "\n",
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@@ -9795,7 +9795,7 @@
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      "output_type": "stream",
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+      "67%|████████████████████████████████████████████                      | 0.6666666666666666/1 [01:32<02:09, 389.52s/it]\n",
       "  0%|                                                                                            | 0/1 [00:00<?, ?it/s]\u001b[A"
      ]
     },
@@ -9851,7 +9851,7 @@
      "name": "stderr",
      "output_type": "stream",
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-      "\r",
+      "\n",
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      ]
     },
@@ -9866,7 +9866,7 @@
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      "output_type": "stream",
      "text": [
-      " 17%|███████████                                                       | 0.16666666666666666/1 [00:12<01:04, 77.30s/it]\n",
+      "17%|███████████                                                       | 0.16666666666666666/1 [00:12<01:04, 77.30s/it]\n",
       "  0%|                                                                                            | 0/1 [00:00<?, ?it/s]\u001b[A"
      ]
     },
@@ -9898,7 +9898,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\n",
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      ]
     },
@@ -9913,7 +9913,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " 67%|████████████████████████████████████████████                      | 0.6666666666666666/1 [00:36<00:48, 145.36s/it]"
+      "67%|████████████████████████████████████████████                      | 0.6666666666666666/1 [00:36<00:48, 145.36s/it]"
      ]
     },
     {
@@ -10050,10 +10050,12 @@
     "from test_helper import get_plot_df\n",
     "import matplotlib.pyplot as plt\n",
     "import seaborn as sns\n",
+    "import numpy as np\n",
     "\n",
     "fig, axes = plt.subplots(2, 2, figsize=(14,14), sharex=True,sharey=True)\n",
     "\n",
     "ref = pd.read_csv(os.path.join(tmp_folder,'PXD006109_ref.txt'), sep='\\t') \n",
+    "ref['Species'] = ref['Species'].replace(np.nan, \"X\")\n",
     "\n",
     "for j, _ in enumerate(['noLFQ','LFQ']):\n",
     "    if _ == 'LFQ':\n",
@@ -10396,7 +10398,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\n",
       "  0%|                                                                                            | 0/1 [00:00<?, ?it/s]"
      ]
     },
@@ -10411,7 +10413,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " 10%|███████▎                                                                 | 0.1/1 [3:08:34<28:17:08, 113142.76s/it]\n",
+      "10%|███████▎                                                                 | 0.1/1 [3:08:34<28:17:08, 113142.76s/it]\n",
       "\n",
       "  0%|                                                                                            | 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A"
      ]
@@ -10484,7 +10486,7 @@
      "name": "stderr",
      "output_type": "stream",
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-      "\r",
+      "\n",
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      ]
     },
@@ -10532,7 +10534,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\n",
       "  0%|                                                                                            | 0/1 [00:00<?, ?it/s]"
      ]
     },
@@ -10547,7 +10549,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
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+      "80%|█████████████████████████████████████████████████████████████████▌                | 0.8/1 [01:13<00:18, 91.25s/it]"
      ]
     },
     {
@@ -10845,7 +10847,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.6"
+   "version": "3.8.5"
   },
   "toc": {
    "base_numbering": 1,
@@ -10863,4 +10865,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
\ No newline at end of file
diff --git a/alphapept/settings.py b/alphapept/settings.py
index b2e48eed..3b5d245c 100644
--- a/alphapept/settings.py
+++ b/alphapept/settings.py
@@ -25,4 +25,4 @@ def save_settings(settings, path):
     Save a yaml settings file to path
     """
     with open(path, "w") as file:
-        yaml.dump(settings, file)
\ No newline at end of file
+        yaml.dump(settings, file, sort_keys=False)
\ No newline at end of file
diff --git a/alphapept/settings_template.yaml b/alphapept/settings_template.yaml
index 3c659c53..7b4905c9 100644
--- a/alphapept/settings_template.yaml
+++ b/alphapept/settings_template.yaml
@@ -1,211 +1,221 @@
-calibration:
-  mob_range:
-    default: 0.3
-    description: Scaling factor for mobility axis.
-    max: 1.0
-    min: 0.0
-    type: doublespinbox
-  n_neighbors:
-    default: 100
-    description: Number of neighbors that are used for offset interpolation.
-    max: 1000
-    min: 1
-    type: spinbox
-  outlier_std:
-    default: 3
-    description: Number of std. deviations to filter outliers in psms.
-    max: 5
-    min: 1
+general:
+  ppm:
+    type: checkbox
+    default: true
+    description: Use ppm instead of Dalton.
+  score:
+    type: combobox
+    value:
+    - x_tandem
+    - random_forest
+    default: random_forest
+    description: Scoring method.
+  n_processes:
     type: spinbox
-  ppm_range:
-    default: 20
-    description: Scaling factor for mz axis.
-    max: 1000
     min: 1
-    type: spinbox
-  rt_range:
-    default: 0.5
-    description: Scaling factor for rt axis.
-    max: 10
-    min: 0.0
-    type: doublespinbox
+    max: 60
+    default: 60
+    description: Maximum number of processes for multiprocessing. If larger than number
+      of processors it will be capped.
+  create_database:
+    type: checkbox
+    default: true
+    description: Flag to create a database.
+  import_raw_data:
+    type: checkbox
+    default: true
+    description: Flag to import the raw data.
+  find_features:
+    type: checkbox
+    default: true
+    description: Flag to perform feature finding.
+  search_data:
+    type: checkbox
+    default: true
+    description: Flag to perform search.
+  recalibrate_data:
+    type: checkbox
+    default: true
+    description: Flag to perform recalibration.
+  align:
+    type: checkbox
+    default: true
+    description: Flag to align the data.
+  match:
+    type: checkbox
+    default: false
+    description: Flag to perform match-between runs.
+  lfq_quantification:
+    type: checkbox
+    default: true
+    description: Flag to perfrom lfq normalization.
 experiment:
-  file_paths:
-    default: []
-    description: Filepaths of the experiments.
-    type: list
-  fractions:
-    default: []
-    description: List of fractions for the raw files.
-    type: list
   results_path:
+    type: path
     default: null
-    description: Path where the results should be stored.
     filetype:
     - hdf
     folder: false
-    type: path
+    description: Path where the results should be stored.
   shortnames:
+    type: list
     default: []
     description: List of shortnames for the raw files.
+  file_paths:
     type: list
-fasta:
-  AL_swap:
-    default: false
-    description: Swap A and L for decoy generation.
-    type: checkbox
-  KR_swap:
-    default: false
-    description: Swap K and R (only if terminal) for decoy generation.
-    type: checkbox
-  database_path:
-    default: null
-    description: Path to library file (.hdf).
-    filetype:
-    - hdf
-    folder: false
-    type: path
-  db_size:
-    default: 200000
-    description: Maximum number of fasta entries that are stored in a db.
-    max: 1000000
-    min: 1000
-    type: spinbox
-  fasta_block:
-    default: 1000
-    description: Number of fasta entries to be processed in one block.
-    max: 10000
-    min: 100
-    type: spinbox
-  fasta_paths:
     default: []
-    description: List of paths for FASTA files.
+    description: Filepaths of the experiments.
+  fractions:
     type: list
-  max_isoforms:
-    default: 1024
-    description: Maximum number of isoforms per peptide.
-    max: 4096
-    min: 1
-    type: spinbox
-  max_length:
-    default: 27
-    description: Maximum peptide length.
-    max: 99
-    min: 6
-    type: spinbox
-  min_length:
-    default: 6
-    description: Minimum peptide length.
-    max: 99
-    min: 6
+    default: []
+    description: List of fractions for the raw files.
+raw:
+  most_abundant:
     type: spinbox
+    min: 1
+    max: 1000
+    default: 400
+    description: Number of most abundant peaks to be isolated from raw spectra.
+  use_profile_ms1:
+    type: checkbox
+    default: false
+    description: Use profile data for MS1 and perform own centroiding.
+fasta:
   mods_fixed:
-    default:
-    - cC
-    description: Fixed modifications.
     type: checkgroup
     value:
-      aK: acetylation of lysine
       cC: carbamidomethylation of C
-      deamN: deamidation of N
-      deamNQ: deamidation of Q
-      eK: EASItag 6-plex on K
-      itraq4K: iTRAQ 4-plex on K
-      itraq4Y: iTRAQ 4-plex on Y
-      itraq8K: iTRAQ 8-plex on K
-      itraq8Y: iTRAQ 8-plex on Y
       oxM: oxidation of M
+      aK: acetylation of lysine
       pS: phosphorylation of S
       pT: phosphorylation of T
       pY: phosphorylation of Y
+      deamN: deamidation of N
+      deamNQ: deamidation of Q
       tmt0K: TMT zero on K
       tmt0Y: TMT zero on Y
       tmt2K: TMT duplex on K
       tmt2Y: TMT duplex on Y
       tmt6K: TMT sixplex/tenplex on K
       tmt6Y: TMT sixplex/tenplex on Y
+      itraq4K: iTRAQ 4-plex on K
+      itraq4Y: iTRAQ 4-plex on Y
+      itraq8K: iTRAQ 8-plex on K
+      itraq8Y: iTRAQ 8-plex on Y
+      eK: EASItag 6-plex on K
+    default:
+    - cC
+    description: Fixed modifications.
   mods_fixed_terminal:
-    default: []
-    description: Fixed terminal modifications.
     type: checkgroup
     value:
-      arg10>R: Arg 10 on peptide C-terminus
-      arg6>R: Arg 6 on peptide C-terminus
       cm<C: pyro-cmC
-      e<^: EASItag 6-plex on peptide N-terminus
-      itraq4K<^: iTRAQ 4-plex on peptide N-terminus
-      itraq8K<^: iTRAQ 8-plex on peptide N-terminus
-      lys8>K: Lys 8 on peptide C-terminus
       pg<E: pyro-E
       pg<Q: pyro-Q
       tmt0<^: TMT zero on peptide N-terminus
       tmt2<^: TMT duplex on peptide N-terminus
       tmt6<^: TMT sixplex/tenplex on peptide N-terminus
-  mods_fixed_terminal_prot:
+      itraq4K<^: iTRAQ 4-plex on peptide N-terminus
+      itraq8K<^: iTRAQ 8-plex on peptide N-terminus
+      e<^: EASItag 6-plex on peptide N-terminus
+      arg10>R: Arg 10 on peptide C-terminus
+      arg6>R: Arg 6 on peptide C-terminus
+      lys8>K: Lys 8 on peptide C-terminus
     default: []
-    description: Fixed terminal modifications on proteins.
-    type: checkgroup
-    value:
-      a<^: acetylation of protein N-terminus
-      am>^: amidation of protein C-terminus
+    description: Fixed terminal modifications.
   mods_variable:
-    default:
-    - oxM
-    description: Variable modifications.
     type: checkgroup
     value:
-      aK: acetylation of lysine
       cC: carbamidomethylation of C
-      deamN: deamidation of N
-      deamNQ: deamidation of Q
-      eK: EASItag 6-plex on K
-      itraq4K: iTRAQ 4-plex on K
-      itraq4Y: iTRAQ 4-plex on Y
-      itraq8K: iTRAQ 8-plex on K
-      itraq8Y: iTRAQ 8-plex on Y
       oxM: oxidation of M
+      aK: acetylation of lysine
       pS: phosphorylation of S
       pT: phosphorylation of T
       pY: phosphorylation of Y
+      deamN: deamidation of N
+      deamNQ: deamidation of Q
       tmt0K: TMT zero on K
       tmt0Y: TMT zero on Y
       tmt2K: TMT duplex on K
       tmt2Y: TMT duplex on Y
       tmt6K: TMT sixplex/tenplex on K
       tmt6Y: TMT sixplex/tenplex on Y
+      itraq4K: iTRAQ 4-plex on K
+      itraq4Y: iTRAQ 4-plex on Y
+      itraq8K: iTRAQ 8-plex on K
+      itraq8Y: iTRAQ 8-plex on Y
+      eK: EASItag 6-plex on K
+    default:
+    - oxM
+    description: Variable modifications.
   mods_variable_terminal:
-    default: []
-    description: Varibale terminal modifications.
     type: checkgroup
     value:
-      arg10>R: Arg 10 on peptide C-terminus
-      arg6>R: Arg 6 on peptide C-terminus
       cm<C: pyro-cmC
-      e<^: EASItag 6-plex on peptide N-terminus
-      itraq4K<^: iTRAQ 4-plex on peptide N-terminus
-      itraq8K<^: iTRAQ 8-plex on peptide N-terminus
-      lys8>K: Lys 8 on peptide C-terminus
       pg<E: pyro-E
       pg<Q: pyro-Q
       tmt0<^: TMT zero on peptide N-terminus
       tmt2<^: TMT duplex on peptide N-terminus
       tmt6<^: TMT sixplex/tenplex on peptide N-terminus
-  mods_variable_terminal_prot:
+      itraq4K<^: iTRAQ 4-plex on peptide N-terminus
+      itraq8K<^: iTRAQ 8-plex on peptide N-terminus
+      e<^: EASItag 6-plex on peptide N-terminus
+      arg10>R: Arg 10 on peptide C-terminus
+      arg6>R: Arg 6 on peptide C-terminus
+      lys8>K: Lys 8 on peptide C-terminus
     default: []
-    description: Varibale terminal modifications on proteins.
+    description: Varibale terminal modifications.
+  mods_fixed_terminal_prot:
+    type: checkgroup
+    value:
+      a<^: acetylation of protein N-terminus
+      am>^: amidation of protein C-terminus
+    default: []
+    description: Fixed terminal modifications on proteins.
+  mods_variable_terminal_prot:
     type: checkgroup
     value:
       a<^: acetylation of protein N-terminus
       am>^: amidation of protein C-terminus
+    default: []
+    description: Varibale terminal modifications on proteins.
   num_missed_cleavages:
+    type: spinbox
+    min: 0
+    max: 99
     default: 2
     description: Number of missed cleavages.
+  min_length:
+    type: spinbox
+    min: 6
     max: 99
-    min: 0
+    default: 6
+    description: Minimum peptide length.
+  max_length:
     type: spinbox
+    min: 6
+    max: 99
+    default: 27
+    description: Maximum peptide length.
+  max_isoforms:
+    type: spinbox
+    min: 1
+    max: 4096
+    default: 1024
+    description: Maximum number of isoforms per peptide.
+  pseudo_reverse:
+    type: checkbox
+    default: true
+    description: Use pseudo-reverse strategy instead of reverse.
+  AL_swap:
+    type: checkbox
+    default: false
+    description: Swap A and L for decoy generation.
+  KR_swap:
+    type: checkbox
+    default: false
+    description: Swap K and R (only if terminal) for decoy generation.
   protease:
-    default: trypsin
-    description: Protease for digestions.
     type: combobox
     value:
     - arg-c
@@ -245,207 +255,189 @@ fasta:
     - trypsin_exception
     - non-specific
     - trypsin
-  pseudo_reverse:
-    default: true
-    description: Use pseudo-reverse strategy instead of reverse.
-    type: checkbox
-  save_db:
-    default: true
-    description: Save DB or create on the fly.
-    type: checkbox
+    default: trypsin
+    description: Protease for digestions.
   spectra_block:
+    type: spinbox
+    min: 1000
+    max: 1000000
     default: 100000
     description: Maximum number of sequences to be collected before theoretical spectra
       are generated.
-    max: 1000000
-    min: 1000
+  fasta_block:
     type: spinbox
+    min: 100
+    max: 10000
+    default: 1000
+    description: Number of fasta entries to be processed in one block.
+  save_db:
+    type: checkbox
+    default: true
+    description: Save DB or create on the fly.
+  db_size:
+    type: spinbox
+    min: 1000
+    max: 1000000
+    default: 200000
+    description: Maximum number of fasta entries that are stored in a db.
+  database_path:
+    type: path
+    default: null
+    filetype:
+    - hdf
+    folder: false
+    description: Path to library file (.hdf).
+  fasta_paths:
+    type: list
+    default: []
+    description: List of paths for FASTA files.
 features:
-  mass_importance:
-    default: 100
-    max: 1000
-    min: 1
+  min_hill_length:
     type: spinbox
-  max_distance:
-    default: 0.4
-    max: 1.0
-    min: 0.0
-    type: doublespinbox
-  max_gap:
-    default: 2
-    max: 99
     min: 1
-    type: spinbox
-  max_neighbors:
-    default: 4
     max: 10
-    min: 1
-    type: spinbox
-  min_hill_length:
     default: 3
-    max: 10
-    min: 1
+  max_gap:
     type: spinbox
-  ppm_tol:
-    default: 8
-    max: 99
     min: 1
+    max: 99
+    default: 2
+  ppm_tol:
     type: spinbox
-  search_unidentified:
-    default: false
-    description: Search MSMS w/o feature.
-    type: checkbox
-  smoothing:
-    default: 1
-    max: 10
     min: 1
+    max: 99
+    default: 8
+  smoothing:
     type: spinbox
-general:
-  align:
-    default: true
-    description: Flag to align the data.
-    type: checkbox
-  create_database:
-    default: true
-    description: Flag to create a database.
-    type: checkbox
-  feature_finding:
-    default: true
-    description: Flag to perform feature finding.
-    type: checkbox
-  find_features:
-    default: true
-    description: Flag to perform feature finding.
-    type: checkbox
-  import_raw_data:
-    default: true
-    description: Flag to import the raw data.
-    type: checkbox
-  lfq_quantification:
-    default: true
-    description: Flag to perfrom lfq normalization.
-    type: checkbox
-  match:
-    default: false
-    description: Flag to perform match-between runs.
-    type: checkbox
-  n_processes:
-    default: 60
-    description: Maximum number of processes for multiprocessing. If larger than number
-      of processors it will be capped.
-    max: 60
     min: 1
+    max: 10
+    default: 1
+  max_neighbors:
     type: spinbox
-  ppm:
-    default: true
-    description: Use ppm instead of Dalton.
-    type: checkbox
-  recalibrate_data:
-    default: true
-    description: Flag to perform recalibration.
-    type: checkbox
-  score:
-    default: random_forest
-    description: Scoring method.
-    type: combobox
-    value:
-    - x_tandem
-    - random_forest
-  search_data:
-    default: true
-    description: Flag to perform search.
-    type: checkbox
-matching:
-  match_between_runs:
-    default: true
-    description: Perform match between runs type quantification.
-    type: checkbox
-  min_match_d:
-    default: 3
-    description: Minimum distance cutoff for matching
-    max: 10.0
-    min: 0.001
+    min: 1
+    max: 10
+    default: 4
+  max_distance:
     type: doublespinbox
-  min_match_p:
-    default: 0.05
-    description: Minimum probability cutoff for matching
+    min: 0.0
     max: 1.0
-    min: 0.001
-    type: doublespinbox
-quantification:
-  max_lfq:
-    default: true
-    description: Perform max lfq type quantification.
-    type: checkbox
-  mode:
-    default: int_sum
-    description: Column to perform quantification on.
-    type: combobox
-    value:
-    - int_sum
-raw:
-  most_abundant:
-    default: 400
-    description: Number of most abundant peaks to be isolated from raw spectra.
-    max: 1000
-    min: 1
+    default: 0.4
+  mass_importance:
     type: spinbox
-  use_profile_ms1:
-    default: false
-    description: Use profile data for MS1 and perform own centroiding.
+    min: 1
+    max: 1000
+    default: 100
+  search_unidentified:
     type: checkbox
+    default: false
+    description: Search MSMS w/o feature.
 search:
-  calibrate:
-    default: true
-    description: Recalibrate masses.
-    type: checkbox
-  calibration_std:
-    default: 3
-    description: Std range for search after calibration.
-    max: 5
-    min: 1
-    type: spinbox
   m_offset:
+    type: spinbox
+    min: 1
+    max: 99
     default: 30
     description: Precursor mass offset.
-    max: 99
-    min: 1
-    type: spinbox
   m_tol:
+    type: spinbox
+    min: 1
+    max: 99
     default: 30
     description: MSMS mass offset.
-    max: 99
-    min: 1
-    type: spinbox
   min_frag_hits:
+    type: spinbox
+    min: 1
+    max: 99
     default: 7
     description: Minimum number of fragment hits.
-    max: 99
-    min: 1
+  ppm:
+    type: checkbox
+    default: true
+    description: Use ppm instead of Dalton.
+  calibrate:
+    type: checkbox
+    default: true
+    description: Recalibrate masses.
+  calibration_std:
     type: spinbox
+    min: 1
+    max: 5
+    default: 3
+    description: Std range for search after calibration.
   parallel:
+    type: checkbox
     default: true
     description: Use parallel processing.
-    type: checkbox
   peptide_fdr:
+    type: doublespinbox
+    min: 0.0
+    max: 1.0
     default: 0.01
     description: FDR level for peptides.
-    max: 1.0
-    min: 0.0
-    type: doublespinbox
-  ppm:
-    default: true
-    description: Use ppm instead of Dalton.
-    type: checkbox
   protein_fdr:
+    type: doublespinbox
+    min: 0.0
+    max: 1.0
     default: 0.01
     description: FDR level for proteins.
-    max: 1.0
-    min: 0.0
-    type: doublespinbox
   recalibration_min:
+    type: spinbox
+    min: 100
+    max: 10000
     default: 100
     description: Minimum number of datapoints to perform calibration.
-    max: 10000
-    min: 100
+calibration:
+  outlier_std:
+    type: spinbox
+    min: 1
+    max: 5
+    default: 3
+    description: Number of std. deviations to filter outliers in psms.
+  n_neighbors:
+    type: spinbox
+    min: 1
+    max: 1000
+    default: 100
+    description: Number of neighbors that are used for offset interpolation.
+  ppm_range:
     type: spinbox
+    min: 1
+    max: 1000
+    default: 20
+    description: Scaling factor for mz axis.
+  rt_range:
+    type: doublespinbox
+    min: 0.0
+    max: 10
+    default: 0.5
+    description: Scaling factor for rt axis.
+  mob_range:
+    type: doublespinbox
+    min: 0.0
+    max: 1.0
+    default: 0.3
+    description: Scaling factor for mobility axis.
+matching:
+  min_match_p:
+    type: doublespinbox
+    min: 0.001
+    max: 1.0
+    default: 0.05
+    description: Minimum probability cutoff for matching
+  min_match_d:
+    type: doublespinbox
+    min: 0.001
+    max: 10.0
+    default: 3
+    description: Minimum distance cutoff for matching
+quantification:
+  max_lfq:
+    type: checkbox
+    default: true
+    description: Perform max lfq type quantification.
+  mode:
+    type: combobox
+    value:
+    - int_sum
+    default: int_sum
+    description: Column to perform quantification on.
diff --git a/alphapept/ui.py b/alphapept/ui.py
index 72ab8fe1..d2b3ed67 100644
--- a/alphapept/ui.py
+++ b/alphapept/ui.py
@@ -142,7 +142,7 @@ def initUI(self):
         self.verticalLayout.addWidget(self.btn_settings)
         self.btn_settings.clicked.connect(self.page_settings)
 
-        self.btn_run = QPushButton("Run")
+        self.btn_run = QPushButton("Current Run")
         self.btn_run.setStyleSheet(big_font)
         self.verticalLayout.addWidget(self.btn_run)
         self.btn_run.clicked.connect(self.page_run)
@@ -211,10 +211,6 @@ def initUI(self):
         self.label_settings = QLabel("Settings")
         self.label_settings.setStyleSheet(logo_font)
         self.settings_layout.addWidget(self.label_settings)
-        #self.combo_settings = QComboBox()
-        #self.combo_settings.setStyleSheet("QListView::item {height:20px;}")
-        #self.combo_settings.addItem("default")
-        #self.settings_layout.addWidget(self.combo_settings)
 
         self.settingsWidget = SettingsEdit(fasta_selector = self.fasta_selector, file_selector = self.file_selector, results_path = self.results_path)
         self.settings_layout.addWidget(self.settingsWidget)
@@ -354,7 +350,7 @@ def initUI(self):
             QSizePolicy.Expanding
         )
         self.run_layout.addItem(spacerItem4)
-        self.btn_start = QPushButton("Start")
+        self.btn_start = QPushButton("Start analysis")
         self.btn_start.setStyleSheet(big_font)
         self.btn_start.clicked.connect(self.start)
 
diff --git a/alphapept/ui_classes.py b/alphapept/ui_classes.py
index 64299462..714c4d0d 100644
--- a/alphapept/ui_classes.py
+++ b/alphapept/ui_classes.py
@@ -114,9 +114,9 @@ def dropEvent(self, event):
         """ Loads  when dropped into the scene """
         paths = self.path_from_drop(event)
         if len(paths) == 1:
-            logging.info(f"Dropped file {paths}.")
+            logging.info(f"File {paths} added.")
         else:
-            logging.info(f"Dropped a total of {len(paths)} files.")
+            logging.info(f"Added a total of {len(paths)} files.")
         self.open_from_drop(paths)
 
     def open(self, path):
@@ -471,7 +471,7 @@ def dropEvent(self, event):
 
         path, extension = self.path_from_drop(event)
 
-        logging.info("Dropped file {}.".format(path))
+        logging.info("Added file {}.".format(path))
 
         if extension == ".yaml":
 
diff --git a/default_settings.yaml b/default_settings.yaml
index 1b5a389a..10842f17 100644
--- a/default_settings.yaml
+++ b/default_settings.yaml
@@ -1,77 +1,75 @@
-calibration:
-  mob_range: 0.3
-  n_neighbors: 100
-  outlier_std: 3
-  ppm_range: 20
-  rt_range: 0.5
+general:
+  ppm: true
+  score: random_forest
+  n_processes: 60
+  create_database: true
+  import_raw_data: true
+  find_features: true
+  search_data: true
+  recalibrate_data: true
+  align: true
+  match: false
+  lfq_quantification: true
 experiment:
-  file_paths: []
-  fractions: []
   results_path: null
   shortnames: []
+  file_paths: []
+  fractions: []
+raw:
+  most_abundant: 400
+  use_profile_ms1: false
 fasta:
-  AL_swap: false
-  KR_swap: false
-  database_path: null
-  db_size: 200000
-  fasta_block: 1000
-  fasta_paths: []
-  max_isoforms: 1024
-  max_length: 27
-  min_length: 6
   mods_fixed:
   - cC
   mods_fixed_terminal: []
-  mods_fixed_terminal_prot: []
   mods_variable:
   - oxM
   mods_variable_terminal: []
+  mods_fixed_terminal_prot: []
   mods_variable_terminal_prot: []
   num_missed_cleavages: 2
-  protease: trypsin
+  min_length: 6
+  max_length: 27
+  max_isoforms: 1024
   pseudo_reverse: true
-  save_db: true
+  AL_swap: false
+  KR_swap: false
+  protease: trypsin
   spectra_block: 100000
+  fasta_block: 1000
+  save_db: true
+  db_size: 200000
+  database_path: null
+  fasta_paths: []
 features:
-  mass_importance: 100
-  max_distance: 0.4
-  max_gap: 2
-  max_neighbors: 4
   min_hill_length: 3
+  max_gap: 2
   ppm_tol: 8
-  search_unidentified: false
   smoothing: 1
-general:
-  align: true
-  create_database: true
-  feature_finding: true
-  find_features: true
-  import_raw_data: true
-  lfq_quantification: true
-  match: false
-  n_processes: 60
-  ppm: true
-  recalibrate_data: true
-  score: random_forest
-  search_data: true
-matching:
-  match_between_runs: true
-  min_match_d: 3
-  min_match_p: 0.05
-quantification:
-  max_lfq: true
-  mode: int_sum
-raw:
-  most_abundant: 400
-  use_profile_ms1: false
+  max_neighbors: 4
+  max_distance: 0.4
+  mass_importance: 100
+  search_unidentified: false
 search:
-  calibrate: true
-  calibration_std: 3
   m_offset: 30
   m_tol: 30
   min_frag_hits: 7
+  ppm: true
+  calibrate: true
+  calibration_std: 3
   parallel: true
   peptide_fdr: 0.01
-  ppm: true
   protein_fdr: 0.01
   recalibration_min: 100
+calibration:
+  outlier_std: 3
+  n_neighbors: 100
+  ppm_range: 20
+  rt_range: 0.5
+  mob_range: 0.3
+matching:
+  min_match_p: 0.05
+  min_match_d: 3
+quantification:
+  max_lfq: true
+  mode: int_sum
diff --git a/docs/interface.html b/docs/interface.html
index a05ef2cd..8a291ab1 100644
--- a/docs/interface.html
+++ b/docs/interface.html
@@ -65,7 +65,9 @@ <h2 id="Functions">Functions<a class="anchor-link" href="#Functions"> </a></h2><
 
 
 <div class="output_markdown rendered_html output_subarea ">
+
 <h4 id="parallel_execute" class="doc_header"><code>parallel_execute</code><a href="https://github.com/mannlabs/alphapept/tree/master/alphapept/interface.py#L20" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>parallel_execute</code>(<strong><code>settings</code></strong>, <strong><code>step</code></strong>, <strong><code>callback</code></strong>=<em><code>None</code></em>)</p>
+
 </blockquote>
 <p>Generic function to parallel execute worklow steps on a file basis</p>
 
diff --git a/docs/score.html b/docs/score.html
index 107f66a2..e178226a 100644
--- a/docs/score.html
+++ b/docs/score.html
@@ -261,7 +261,9 @@ <h4 id="cut_fdr" class="doc_header"><code>cut_fdr</code><a href="https://github.
 
 
 <div class="output_png output_subarea ">
+
 <img 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
+
 "
 >
 </div>
@@ -271,9 +273,9 @@ <h4 id="cut_fdr" class="doc_header"><code>cut_fdr</code><a href="https://github.
 <div class="output_area">
 
 <div class="output_subarea output_stream output_stderr output_text">
-<pre>C:\ProgramData\Anaconda3\envs\alphapept\lib\site-packages\seaborn\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
+<pre>/Users/mstrauss/anaconda3/envs/alphapept/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
   warnings.warn(msg, FutureWarning)
-C:\ProgramData\Anaconda3\envs\alphapept\lib\site-packages\seaborn\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
+/Users/mstrauss/anaconda3/envs/alphapept/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
   warnings.warn(msg, FutureWarning)
 </pre>
 </div>
@@ -284,7 +286,9 @@ <h4 id="cut_fdr" class="doc_header"><code>cut_fdr</code><a href="https://github.
 
 
 <div class="output_png output_subarea ">
+
 <img 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
+
 "
 >
 </div>
@@ -402,7 +406,9 @@ <h4 id="cut_global_fdr" class="doc_header"><code>cut_global_fdr</code><a href="h
 
 
 <div class="output_png output_subarea ">
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
+
 "
 >
 </div>
@@ -412,9 +418,9 @@ <h4 id="cut_global_fdr" class="doc_header"><code>cut_global_fdr</code><a href="h
 <div class="output_area">
 
 <div class="output_subarea output_stream output_stderr output_text">
-<pre>C:\ProgramData\Anaconda3\envs\alphapept\lib\site-packages\seaborn\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
+<pre>/Users/mstrauss/anaconda3/envs/alphapept/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
   warnings.warn(msg, FutureWarning)
-C:\ProgramData\Anaconda3\envs\alphapept\lib\site-packages\seaborn\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
+/Users/mstrauss/anaconda3/envs/alphapept/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
   warnings.warn(msg, FutureWarning)
 </pre>
 </div>
@@ -425,7 +431,9 @@ <h4 id="cut_global_fdr" class="doc_header"><code>cut_global_fdr</code><a href="h
 
 
 <div class="output_png output_subarea ">
+
 <img 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
+
 "
 >
 </div>
diff --git a/nbs/00_settings.ipynb b/nbs/00_settings.ipynb
index f4169913..3da5082f 100644
--- a/nbs/00_settings.ipynb
+++ b/nbs/00_settings.ipynb
@@ -36,7 +36,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -76,7 +75,7 @@
     "    Save a yaml settings file to path\n",
     "    \"\"\"\n",
     "    with open(path, \"w\") as file:\n",
-    "        yaml.dump(settings, file)"
+    "        yaml.dump(settings, file, sort_keys=False)"
    ]
   },
   {
@@ -419,10 +418,6 @@
       "    default: true\n",
       "    description: Flag to create a database.\n",
       "    type: checkbox\n",
-      "  feature_finding:\n",
-      "    default: true\n",
-      "    description: Flag to perform feature finding.\n",
-      "    type: checkbox\n",
       "  find_features:\n",
       "    default: true\n",
       "    description: Flag to perform feature finding.\n",
@@ -466,10 +461,6 @@
       "    description: Flag to perform search.\n",
       "    type: checkbox\n",
       "matching:\n",
-      "  match_between_runs:\n",
-      "    default: true\n",
-      "    description: Perform match between runs type quantification.\n",
-      "    type: checkbox\n",
       "  min_match_d:\n",
       "    default: 3\n",
       "    description: Minimum distance cutoff for matching\n",
@@ -574,12 +565,13 @@
     "general = {}\n",
     "SETTINGS_TEMPLATE[\"general\"] = general\n",
     "general[\"ppm\"] = {'type':'checkbox', 'default':True, 'description':\"Use ppm instead of Dalton.\"}\n",
-    "general[\"find_features\"] = {'type':'checkbox', 'default':True, 'description':\"Flag to perform feature finding.\"}\n",
     "general[\"score\"] = {'type':'combobox', 'value':['x_tandem','random_forest'], 'default':'random_forest', 'description':\"Scoring method.\"}\n",
     "general['n_processes'] = {'type':'spinbox', 'min':1, 'max':60, 'default':60, 'description':\"Maximum number of processes for multiprocessing. If larger than number of processors it will be capped.\"}\n",
+    "\n",
+    "\n",
     "general[\"create_database\"] = {'type':'checkbox', 'default':True, 'description':\"Flag to create a database.\"}\n",
     "general[\"import_raw_data\"] = {'type':'checkbox', 'default':True, 'description':\"Flag to import the raw data.\"}\n",
-    "general[\"feature_finding\"] = {'type':'checkbox', 'default':True, 'description':\"Flag to perform feature finding.\"}\n",
+    "general[\"find_features\"] = {'type':'checkbox', 'default':True, 'description':\"Flag to perform feature finding.\"}\n",
     "general[\"search_data\"] = {'type':'checkbox', 'default':True, 'description':\"Flag to perform search.\"}\n",
     "general[\"recalibrate_data\"] = {'type':'checkbox', 'default':True, 'description':\"Flag to perform recalibration.\"}\n",
     "general[\"align\"] = {'type':'checkbox', 'default':True, 'description':\"Flag to align the data.\"}\n",
@@ -657,6 +649,21 @@
     "fasta[\"database_path\"] = {'type':'path','default':None, 'filetype':['hdf'], 'folder':False, 'description':\"Path to library file (.hdf).\"}\n",
     "fasta[\"fasta_paths\"] = {'type':'list','default':[], 'description':\"List of paths for FASTA files.\"}\n",
     "\n",
+    "# Feature Settings\n",
+    "features = {}\n",
+    "SETTINGS_TEMPLATE[\"features\"] = features\n",
+    "\n",
+    "features[\"min_hill_length\"] = {'type':'spinbox', 'min':1, 'max':10, 'default':3}\n",
+    "features[\"max_gap\"] = {'type':'spinbox', 'min':1, 'max':99, 'default':2}\n",
+    "features[\"ppm_tol\"] = {'type':'spinbox', 'min':1, 'max':99, 'default':8}\n",
+    "features[\"smoothing\"] = {'type':'spinbox', 'min':1, 'max':10, 'default':1}\n",
+    "\n",
+    "features[\"max_neighbors\"] = {'type':'spinbox', 'min':1, 'max':10, 'default':4}\n",
+    "features[\"max_distance\"] = {'type':'doublespinbox', 'min':0.0, 'max':1.0, 'default':0.4}\n",
+    "features[\"mass_importance\"] = {'type':'spinbox', 'min':1, 'max':1000, 'default':100}\n",
+    "\n",
+    "features[\"search_unidentified\"] = {'type':'checkbox', 'default':False, 'description':\"Search MSMS w/o feature.\"}\n",
+    "\n",
     "\n",
     "# Search Settings\n",
     "search = {}\n",
@@ -675,21 +682,6 @@
     "search['recalibration_min'] = {'type':'spinbox', 'min':100, 'max':10000, 'default':100, 'description':\"Minimum number of datapoints to perform calibration.\"}\n",
     "\n",
     "\n",
-    "# Feature Settings\n",
-    "features = {}\n",
-    "SETTINGS_TEMPLATE[\"features\"] = features\n",
-    "\n",
-    "features[\"min_hill_length\"] = {'type':'spinbox', 'min':1, 'max':10, 'default':3}\n",
-    "features[\"max_gap\"] = {'type':'spinbox', 'min':1, 'max':99, 'default':2}\n",
-    "features[\"ppm_tol\"] = {'type':'spinbox', 'min':1, 'max':99, 'default':8}\n",
-    "features[\"smoothing\"] = {'type':'spinbox', 'min':1, 'max':10, 'default':1}\n",
-    "\n",
-    "features[\"max_neighbors\"] = {'type':'spinbox', 'min':1, 'max':10, 'default':4}\n",
-    "features[\"max_distance\"] = {'type':'doublespinbox', 'min':0.0, 'max':1.0, 'default':0.4}\n",
-    "features[\"mass_importance\"] = {'type':'spinbox', 'min':1, 'max':1000, 'default':100}\n",
-    "\n",
-    "features[\"search_unidentified\"] = {'type':'checkbox', 'default':False, 'description':\"Search MSMS w/o feature.\"}\n",
-    "\n",
     "# Calibration\n",
     "\n",
     "calibration = {}\n",
@@ -707,7 +699,6 @@
     "matching = {}\n",
     "SETTINGS_TEMPLATE[\"matching\"] = matching\n",
     "\n",
-    "matching['match_between_runs'] = {'type':'checkbox', 'default':True, 'description':\"Perform match between runs type quantification.\"}\n",
     "matching[\"min_match_p\"] = {'type':'doublespinbox', 'min':0.001, 'max':1.0, 'default':0.05, 'description':\"Minimum probability cutoff for matching\"}\n",
     "matching[\"min_match_d\"] = {'type':'doublespinbox', 'min':0.001, 'max':10.0, 'default':3, 'description': \"Minimum distance cutoff for matching\"}\n",
     "\n",
@@ -722,9 +713,6 @@
     "\n",
     "path = \"../alphapept/settings_template.yaml\"\n",
     "\n",
-    "with open(path, \"w\") as file:\n",
-    "    yaml.dump(SETTINGS_TEMPLATE, file)\n",
-    "    \n",
     "save_settings(SETTINGS_TEMPLATE, path)\n",
     "print_settings(load_settings(path))"
    ]
diff --git a/nbs/06_score.ipynb b/nbs/06_score.ipynb
index 592f5016..9dc4e70d 100644
--- a/nbs/06_score.ipynb
+++ b/nbs/06_score.ipynb
@@ -467,7 +467,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -497,7 +497,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -527,7 +527,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x360 with 1 Axes>"
       ]
@@ -541,15 +541,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\ProgramData\\Anaconda3\\envs\\alphapept\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "/Users/mstrauss/anaconda3/envs/alphapept/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
       "  warnings.warn(msg, FutureWarning)\n",
-      "C:\\ProgramData\\Anaconda3\\envs\\alphapept\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "/Users/mstrauss/anaconda3/envs/alphapept/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
       "  warnings.warn(msg, FutureWarning)\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x360 with 1 Axes>"
       ]
@@ -578,7 +578,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -590,7 +590,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -602,7 +602,7 @@
     },
     {
      "data": {
-      "image/png": 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+RMRBmVdnZmaZKxkEEdG3VJuZmdWPkkEgaX/gr4FjgSdIbhr3dqUKMzOzyuhqjeDHQAPwJDANuLYiFZmZWUV1tUYwtuCqoR8B/1mZkszMrJLKvWrIU0JmZnWqqxHBuPQqIUiuFPJVQ2ZmdairIHg8IsZXrBIzM6uKroKgtj66rJctXdXC/OXreH5rG0cOHsjsKWP80ZVmVpe6CoLDJH25VGNEfCeDevYJS1e1MPfnT9K2YycALVvbmPvzJwEcBmZWd7paLO4LHAgMKvFVt+YvX/dOCOzWtmMn85evq1JFZmbZ6WpEsCki5lWskn3I81vbenTczKyWdTUiUBdtde3IwQN7dNzMrJZ1FQSnVqyKfczsKWMY2L/9rZYG9u/L7CljqlSRmVl2urrp3EuVLGRfsntB2FcNmVkedLVGkGtnjR/mF34zy4Uef3i9mZnVFweBmVnOZRoEkqZKWiepWdKcLvp9RlJIasiyHjMz6yyzIJDUF7gBOA0YC8yUNLZIv0HA/wYeyaoWMzMrLcsRwQSgOSLWR8RbwCJgepF+VwLfAt7IsBYzMyshyyAYBmwo2N+YHnuHpBOBERFxd1cPJGmWpCZJTa2trb1fqZlZjlVtsVhSH+A7wCXd9Y2IBRHREBENQ4cOzb44M7McyTIIWoARBfvD02O7DQI+CDwg6RngI0CjF4zNzCoryyB4FBgtaZSkAcAMoHF3Y0Rsi4ghETEyIkYCK4EzI6Ipw5rMzKyDzIIg/ZzjC4HlwFPA4ohYI2mepDOzel4zM+uZTG8xERHLgGUdjl1eou+kLGsxM7Pi/M5iM7OccxCYmeWcg8DMLOccBGZmOecgMDPLOQeBmVnOOQjMzHLOQWBmlnMOAjOznHMQmJnlnIPAzCznHARmZjnnIDAzyzkHgZlZzjkIzMxyzkFgZpZzDgIzs5xzEJiZ5ZyDwMws5xwEZmY55yAwM8s5B4GZWc45CMzMcs5BYGaWcw4CM7OccxCYmeWcg8DMLOcyDQJJUyWtk9QsaU6R9i9LWivpCUkrJB2VZT1mZtZZZkEgqS9wA3AaMBaYKWlsh26rgIaI+BCwBPh2VvWYmVlxWY4IJgDNEbE+It4CFgHTCztExP0RsT3dXQkMz7AeMzMrIssgGAZsKNjfmB4r5Xzgl8UaJM2S1CSpqbW1tRdLNDOzfWKxWNK5QAMwv1h7RCyIiIaIaBg6dGhlizMzq3P9MnzsFmBEwf7w9Fg7kiYDXwU+FhFvZliPmZkVkeWI4FFgtKRRkgYAM4DGwg6SxgM3AmdGxOYMazEzsxIyC4KIeBu4EFgOPAUsjog1kuZJOjPtNh84ELhD0mpJjSUezszMMpLl1BARsQxY1uHY5QXbk7N8fjMz694+sVhsZmbV4yAwM8s5B4GZWc45CMzMcs5BYGaWcw4CM7OccxCYmeWcg8DMLOccBGZmOecgMDPLOQeBmVnOOQjMzHLOQWBmlnMOAjOznHMQmJnlnIPAzCznHARmZjnnIDAzyzkHgZlZzjkIzMxyzkFgZpZzDgIzs5xzEJiZ5ZyDwMws5xwEZmY55yAwM8s5B4GZWc45CMzMci7TIJA0VdI6Sc2S5hRp30/S7Wn7I5JGZlmPmZl1llkQSOoL3ACcBowFZkoa26Hb+cDLEXEs8F3gW1nVY2ZmxWU5IpgANEfE+oh4C1gETO/QZzrw43R7CXCqJGVYk5mZdZBlEAwDNhTsb0yPFe0TEW8D24BDOz6QpFmSmiQ1tba2ZlSumVk+1cRicUQsiIiGiGgYOnRotcsxM6srWQZBCzCiYH94eqxoH0n9gPcCWzKsyczMOsgyCB4FRksaJWkAMANo7NCnEfhCuv1Z4L6IiAxrMjOzDvpl9cAR8bakC4HlQF/g5ohYI2ke0BQRjcCPgFskNQMvkYSFmZlVUGZBABARy4BlHY5dXrD9BvCnWdZgZmZdq4nFYjMzy46DwMws5xwEZmY55yAwM8s5B4GZWc45CMzMcs5BYGaWcw4CM7OccxCYmeWcg8DMLOccBGZmOecgMDPLOdXaXZ8ltQLPVvAphwAvVvD5Ks3nV7vq+dzA59fbjoqIop/sVXNBUGmSmiKiodp1ZMXnV7vq+dzA51dJnhoyM8s5B4GZWc45CLq3oNoFZMznV7vq+dzA51cxXiMwM8s5jwjMzHLOQWBmlnMOgpSkqZLWSWqWNKdI+36Sbk/bH5E0sgpl7pEyzu3LktZKekLSCklHVaPOPdXd+RX0+4ykkLRPXLJXrnLOT9I56e9wjaTbKl3j3ijj7/N9ku6XtCr9G51WjTr3hKSbJW2W9JsS7ZJ0fXruT0g6sdI1AhARuf8C+gJPA0cDA4DHgbEd+nwJ+GG6PQO4vdp19+K5fRw4IN2+oFbOrdzzS/sNAh4EVgIN1a67l39/o4FVwMHp/mHVrruXz28BcEG6PRZ4ptp19+D8PgqcCPymRPs04JeAgI8Aj1SjTo8IEhOA5ohYHxFvAYuA6R36TAd+nG4vAU6VpArWuKe6PbeIuD8itqe7K4HhFa5xb5TzuwO4EvgW8EYli+sF5ZzfF4EbIuJlgIjYXOEa90Y55xfAQen2e4HnK1jfXomIB4GXuugyHfhJJFYCgyUdUZnq3uUgSAwDNhTsb0yPFe0TEW8D24BDK1Ld3inn3AqdT/J/KLWi2/NLh9sjIuLuShbWS8r5/R0HHCfpIUkrJU2tWHV7r5zz+xpwrqSNwDLgosqUVhE9/feZiX6VfkLbd0k6F2gAPlbtWnqLpD7Ad4DzqlxKlvqRTA9NIhnNPSjphIjYWs2ietFMYGFEXCvpZOAWSR+MiF3VLqxeeESQaAFGFOwPT48V7SOpH8kQdUtFqts75ZwbkiYDXwXOjIg3K1Rbb+ju/AYBHwQekPQMyTxsYw0tGJfz+9sINEbEjoj4PfA7kmCoBeWc3/nAYoCIeBjYn+SGbfWgrH+fWXMQJB4FRksaJWkAyWJwY4c+jcAX0u3PAvdFutqzj+v23CSNB24kCYFaml+Gbs4vIrZFxJCIGBkRI0nWQM6MiKbqlNtj5fxtLiUZDSBpCMlU0foK1rg3yjm/54BTASS9nyQIWitaZXYagc+nVw99BNgWEZsqXYSnhkjm/CVdCCwnuYrh5ohYI2ke0BQRjcCPSIakzSSLPzOqV3H5yjy3+cCBwB3p+vdzEXFm1YrugTLPr2aVeX7LgU9KWgvsBGZHRC2MVss9v0uAmyT9LcnC8Xk18j9hSPopSUgPSdc4rgD6A0TED0nWPKYBzcB24C+qUmeN/DzNzCwjnhoyM8s5B4GZWc45CMzMcs5BYGaWcw4CM7OccxCYlUnSTkmrC75GSpokaVu6/5SkK9K+hcd/K+maatdvVorfR2BWvraIGFd4IL0d+b9FxOmS3gOslnRn2rz7+EBglaRfRMRDlS3ZrHseEZj1koh4HXgMOLbD8TZgNVW4mZhZORwEZuUbWDAt9IuOjZIOJbmX0ZoOxw8muffPg5Up06xnPDVkVr5OU0OpP5G0CtgFXJ3eImFSevxxkhC4LiJeqFilZj3gIDDbe/8WEaeXOi5pFLBS0uKIWF3h2sy65akhs4ylt4a+GvhKtWsxK8ZBYFYZPwQ+ml5lZLZP8d1HzcxyziMCM7OccxCYmeWcg8DMLOccBGZmOecgMDPLOQeBmVnOOQjMzHLuvwEH+XUfwJE8kAAAAABJRU5ErkJggg==\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -614,7 +614,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -645,7 +645,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -740,7 +740,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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S+WJgWKne0FS2mBebrWrlN/dgu2Zm1kONJoufAhcAFwKr1nCb04BjgInp7zWl8pMkXUbRmf10Sig3AF8tdWrvA5y2hjGYmVk3NJosVkbE+d1duaSpFGcFgyUtoriqaSJwuaTjgEeBw1P164H9gXnA34APAUTEU5K+DNyV6n2p1tltZmat0Wiy+LmkjwFXAytqhbkP7YgY18msverUDeDETtYzGZjcYKxmZtbLGk0WtR/CfaZUFsDWvRuOmZn1RQ0li4gY0exAzMys72ooWUg6ul55RFzSu+GYmVlf1Ggz1FtK0+tT9DncDThZmJkNAI02Q328/FzSpsBlzQjIzMz6np4OUf484H4MM7MBotE+i59TXP0ExQCCbwAub1ZQZmbWtzTaZ/HN0vRK4NGIWNSEeMzMrA9qqBkqDSj4AMXIs5sB/2xmUGZm1rc0eqe8w4EZwGEUw3PcKamnQ5SbmVk/02gz1OeBt0TEMgBJbcCvgSuaFZiZmfUdjV4NtVYtUSRPdmNZMzPr5xo9s/hlGiq8divTIyhGiTUzswEgdw/ubSlug/oZSYcAe6ZZtwOXNjs4MzPrG3JnFt8i3WgoIq4CrgKQ9O9p3vuaGJuZmfURuWSxRUTc07EwIu6R1N6ckMxao33CdZVsd8HEAyrZrtmayHVSb9rFvA16MQ4zM+vDcslipqTjOxZK+ggwqzkhmZlZX5NrhvokcLWkI3kxOYwG1gXe38S4zMysD+kyWUTEUmB3Se8EdkrF10XEb5oemZmZ9RmN3s/iJuCm3tigpNcDPykVbQ18kaJ/5HhgeSr/XERcn5Y5DTgOWAV8IiJu6I1YzMysMY3+KK/XRMSDwCgASYOAxcDVwIeAcyKiPMItknYAxgI7AlsBv5a0XUSsamXcZmYDWdVDduwFPBwRj3ZR5yDgsohYERGPAPOAXVsSnZmZAdUni7G8OIQIwEmS5kiaLGmzVDYEWFiqsyiVvYyk8ZJmSpq5fPnyelXMzKwHKksWktYFDgR+morOB7ahaKJaApzd3XVGxKSIGB0Ro9va2norVDOzAa/KM4v9gLvTFVdExNKIWBURq4Hv82JT02JgWGm5oanMzMxapMpkMY5SE5SkLUvz3g/MTdPTgLGS1pM0AhhJcSMmMzNrkZZfDQUgaUPg3cAJpeJvSBoFBLCgNi8i7pV0OXAfxf2/T/SVUGZmrVVJsoiI54HXdCg7qov6ZwJnNjsuMzOrr+qroczMrB9wsjAzsywnCzMzy3KyMDOzLCcLMzPLcrIwM7MsJwszM8tysjAzsywnCzMzy3KyMDOzrEqG+zAbyNonXFfJdhdMPKCS7dorg88szMwsy8nCzMyynCzMzCzLycLMzLKcLMzMLMvJwszMspwszMwsy8nCzMyynCzMzCzLycLMzLIqSxaSFki6R9JsSTNT2eaSpkt6KP3dLJVL0rmS5kmaI+nNVcVtZjYQVX1m8c6IGBURo9PzCcCNETESuDE9B9gPGJke44HzWx6pmdkAVnWy6Ogg4OI0fTFwcKn8kijcAWwqacsK4jMzG5CqTBYB/ErSLEnjU9kWEbEkTT8BbJGmhwALS8suSmUvIWm8pJmSZi5fvrxZcZuZDThVDlG+Z0QslvRaYLqkB8ozIyIkRXdWGBGTgEkAo0eP7tayZmbWucrOLCJicfq7DLga2BVYWmteSn+XpeqLgWGlxYemMjMza4FKkoWkDSVtXJsG9gHmAtOAY1K1Y4Br0vQ04Oh0VdRuwNOl5iozM2uyqpqhtgCullSL4ccR8UtJdwGXSzoOeBQ4PNW/HtgfmAf8DfhQ60M2Mxu4KkkWETEfeFOd8ieBveqUB3BiC0IzM7M6+tqls2Zm1gc5WZiZWZaThZmZZTlZmJlZlpOFmZllOVmYmVmWk4WZmWU5WZiZWZaThZmZZTlZmJlZlpOFmZllOVmYmVmWk4WZmWU5WZiZWZaThZmZZTlZmJlZlpOFmZllOVmYmVmWk4WZmWU5WZiZWVbLk4WkYZJuknSfpHslnZzKz5C0WNLs9Ni/tMxpkuZJelDSe1ods5nZQLd2BdtcCXw6Iu6WtDEwS9L0NO+ciPhmubKkHYCxwI7AVsCvJW0XEataGrWZ2QDW8jOLiFgSEXen6WeB+4EhXSxyEHBZRKyIiEeAecCuzY/UzMxqKu2zkNQO7AzcmYpOkjRH0mRJm6WyIcDC0mKL6CS5SBovaaakmcuXL29W2GZmA05lyULSRsCVwCcj4hngfGAbYBSwBDi7u+uMiEkRMToiRre1tfVmuGZmA1olyULSOhSJ4tKIuAogIpZGxKqIWA18nxebmhYDw0qLD01lZmbWIlVcDSXgIuD+iPifUvmWpWrvB+am6WnAWEnrSRoBjARmtCpeMzOr5mqoPYCjgHskzU5lnwPGSRoFBLAAOAEgIu6VdDlwH8WVVCf6Sigzs9ZqebKIiNsA1Zl1fRfLnAmc2bSgzMysS/4Ft5mZZTlZmJlZlpOFmZllOVmYmVmWk4WZmWU5WZiZWZaThZmZZTlZmJlZlpOFmZllOVmYmVmWk4WZmWU5WZiZWZaThZmZZTlZmJlZlpOFmZllVXHzIzOrQPuE6yrb9oKJB1S2besdPrMwM7MsJwszM8tysjAzsywnCzMzy3KyMDOzrH5zNZSkfYFvA4OACyNiYsUhmVmDqroSy1dh9Z5+cWYhaRDwXWA/YAdgnKQdqo3KzGzg6C9nFrsC8yJiPoCky4CDgPsqjcrM+jT/tqT39JdkMQRYWHq+CHhrx0qSxgPj09PnJD3Ygth6ajDw56qD6CXel77nlbIf0E/3RV+vW9zX9+V1nc3oL8miIRExCZhUdRyNkDQzIkZXHUdv8L70Pa+U/QDvS1/RL/osgMXAsNLzoanMzMxaoL8ki7uAkZJGSFoXGAtMqzgmM7MBo180Q0XESkknATdQXDo7OSLurTisNdUvmssa5H3pe14p+wHelz5BEVF1DGZm1sf1l2YoMzOrkJOFmZllOVm0mKRhkm6SdJ+keyWdXHVMa0LSIEl/kHRt1bGsCUmbSrpC0gOS7pf0tqpj6ilJn0rvrbmSpkpav+qYGiVpsqRlkuaWyjaXNF3SQ+nvZlXG2KhO9uWs9B6bI+lqSZtWGGK3OFm03krg0xGxA7AbcGI/H7rkZOD+qoPoBd8GfhkR2wNvop/uk6QhwCeA0RGxE8UFIWOrjapbpgD7diibANwYESOBG9Pz/mAKL9+X6cBOEfFG4E/Aaa0OqqecLFosIpZExN1p+lmKD6Uh1UbVM5KGAgcAF1Ydy5qQ9GrgHcBFABHxz4j4a6VBrZm1gQ0krQ28Cni84ngaFhG3Ak91KD4IuDhNXwwc3MqYeqrevkTEryJiZXp6B8VvxvoFJ4sKSWoHdgburDiUnvoWcCqwuuI41tQIYDnwg9SkdqGkDasOqiciYjHwTeAxYAnwdET8qtqo1tgWEbEkTT8BbFFlML3ow8Avqg6iUU4WFZG0EXAl8MmIeKbqeLpL0nuBZRExq+pYesHawJuB8yNiZ+B5+k9Tx0uk9vyDKBLgVsCGkj5YbVS9J4pr/fv99f6SPk/RJH1p1bE0ysmiApLWoUgUl0bEVVXH00N7AAdKWgBcBrxL0o+qDanHFgGLIqJ2hncFRfLoj/YGHomI5RHxAnAVsHvFMa2ppZK2BEh/l1UczxqRdCzwXuDI6Ec/dHOyaDFJomgbvz8i/qfqeHoqIk6LiKER0U7RgfqbiOiX32Aj4glgoaTXp6K96L/D3z8G7CbpVem9thf9tLO+ZBpwTJo+BrimwljWSLqJ26nAgRHxt6rj6Q4ni9bbAziK4pv47PTYv+qgjI8Dl0qaA4wCvlptOD2Tzo6uAO4G7qH4H+83Q0xImgrcDrxe0iJJxwETgXdLeojizKlf3CWzk305D9gYmJ7+9y+oNMhu8HAfZmaW5TMLMzPLcrIwM7MsJwszM8tysjAzsywnCzMzy3KysB6TFJLOLj0/RdIZvbTuKZIO7Y11ZbZzWBpl9qYmbuPg8mCRkr4kae869cb099F7O5LULun/NVBvK0lXtCIm6xknC1sTK4BDJA2uOpCyNIBeo44Djo+IdzYrHoqB7/6VLCLiixHx6yZur8e6eexqy0hSZ58l7UA2WUTE4xHR9C8H1nNOFrYmVlL84OtTHWd0PDOQ9Fz6O0bSLZKukTRf0kRJR0qaIekeSduUVrO3pJmS/pTGoqrdP+MsSXelewKcUFrvbyVNo86vryWNS+ufK+nrqeyLwJ7ARZLO6lB/jKRbJV0n6UFJF9Q+ECXtI+l2SXdL+mka5wtJCyR9I21nhqRtJe0OHAiclX6EtU352EjaN93f4G7gkNL2N1RxP4QZaXDDg1L5jqlsdtr/kXX29TlJ56i4p8WNktpS+TaSfilpVjpW25deqwsk3Ql8o8O6jk2v1c0q7idxeipvT8flEmAuMCy9LnPT/h+RVjEReHuK91NdvH7tSvd9SNu8KsX6kKSXxGQViQg//OjRA3gO2ARYALwaOAU4I82bAhxarpv+jgH+CmwJrAcsBv47zTsZ+FZp+V9SfKEZSTF+0/rAeOALqc56wEyKQfPGUAwAOKJOnFtRDIPRRjFo4G+Ag9O8mynu/dBxmTHAP4CtKe4JMR04FBgM3ApsmOp9Fvhiml4AfD5NHw1c28mxmJLWtT6wMO2fgMtLy3wV+GCa3pTi3gcbAt+hGFMIYF1ggzqxR6nOF4Hz0vSNwMg0/VaKIVpq8VwLDKqzrmMpRq99DbABRWIYTXHGsBrYLdX7QDpGgyhGhX0svcZjavuU6nX2+rUDc0vbnE/xnlofeBQYVvX7faA/un3KaVYWEc+kb5efAP7e4GJ3RRpyWtLDQG0I7XuAcnPQ5RGxGnhI0nxge2Af4I2ls5ZXU3zY/hOYERGP1NneW4CbI2J52ualFPev+FkmzhkRMT8tM5XiLOQfFE1Kv5MExQf27aVlppb+npNZ//YUg/49lLbxI4oPU9J+HijplPR8fWB42tbnVdxL5Krash2sBn6Spn8EXJXOfnYHfprihuLDuuanEbGqkzinR8STKcarKI7Dz4BHI+KOVGdPYGpax1JJt1Ac944jKnf2+v2pQ70bI+LptM37gNdRJFariJOF9YZvUYxF9INS2UpSM2dqvlm3NG9FaXp16flqXvqe7DgWTVB8A/94RNxQniFpDMWZRW/qbPvTI2JcA8usyVg6Aj4QEQ92KL8/NRcdAFwv6YSI+E1mXUHxWvw1IkZ1UqerY1fvOOSW6Uxnr197h3rl98gq/FlVOfdZ2BqLiKcomlCOKxUvAHZJ0wcC6/Rg1YdJWiv1Y2wNPAjcAPynimHekbSd8jcqmgH8h6TBkgYB44BbGtj+rpJGpGR3BHAbxd3N9pC0bdr+hpK2Ky1zROlv7YzjWYrB4zp6AGgv9dOUE9ANwMeVTgMk7Zz+bg3Mj4hzKUZffWOd9a5F0cwFRefybVHcM+URSYel9UjSmxo4BlAM4re5pA0oOut/V6fOb4EjUp9EG8WZ2wxevu89ef2sD3CysN5yNkV7fs33KT6g/wi8jZ59C32M4gPnF8BHI+IfFLdwvQ+4O3WIfo/Mt87U5DUBuAn4IzArIhoZ5vouilFC7wceAa5OTVnHAlNVjFB7O0VzUs1mqfxkXuz4vwz4TOqo/lcHftqf8cB1qYO7fJ+GL1Mk2DmS7k3PAQ4H5kqaDewEXFIn7ucpEt1c4F3Al1L5kcBx6TW5l+ImSY2YQXH/lTnAlRExs06dq9P8P1L0CZ0axdDvc4BVkv4o6VP04PWzvsGjzprVkZq1TomI93ZjmQUUneV/blJYjcbxXERs1EvrOpZin07qjfVZ/+UzCzMzy/KZhZmZZfnMwszMspwszMwsy8nCzMyynCzMzCzLycLMzLL+D0qPjLUe25+LAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -772,7 +772,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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Zi1LfUerZc9vbiUjWCXaxVhGBn44aXD99w7PzAyaRYM48MxoiIjEqYSIt4PQDoz0gv55WxuNvLwmcRkRE0oFKmEgLuO7kofXTZ981i9te/CBgGhERSQcqYSItJH4+2C8enktNbV3ANCIiEppKmEgLihexA69+io+WVwZMIyIiIamEibSwN372VQBWVFYz4tfPBk4jLeLCC6MhIhJTEDqASK7p1KZwk/lZC1dwQO9dAqWRFnHCCaETiEga0p4wkQA+vO44Hjx3OAAn3/RS4DSSuLKyaIiIxGhPmEgg+/XS3q+ccdZZ0eP06UFjiEh60Z4wkTSge0uKiOQelTCRgF69dGT99KUPvhUwiYiItDSVMJGAunVozV7d2gPw91c+oq4us+7lKiIizacSJhLYExeMqJ/ud8lU9r/yyYBpRESkpaiEiQSWl2eUXnZ0/fynn1Xxs3+/HTCR7HSXXRYNEZEYlTCRNNC1fSuevvBL9fN/m7EwYBrZ6Y4+OhoiIjEqYSJpon9x+01ua3T5v7Q3LGvMnh0NEZEYlTCRNPOTYwYBcOfL2huWNS64IBoiIjEqYSJp5gdH7VU/PfHhuQGTiIhIklTCRNLQxvPDbn3xAyrWbAicRkREkqASJpKG+he3r58+8OqnAiYREZGkqISJpKkPrj22fnrKrPKASUREJAkqYSJpysx46sfRhVwv+ucb1NTWBU4kzXbNNdEQEYlJtISZ2SgzKzOz+WY2YSvbnGpmc81sjpndnWQekUyzV7cO9dPaG5bBhg+PhohITGIlzMzygRuA0cAQYIyZDdlsmwHAxcBh7r4PcEFSeUQy1caT9Cc8oBt8Z6yXXoqGiEhMknvCDgLmu/sCd68C7gFO2myb7wM3uPsKAHf/JME8IhkpfpJ+nwmPBkwizXbJJdEQEYlJsoTtCSyKzZenlsUNBAaa2Ytm9rKZjUowj0jGOmtEv/rps++cFTCJiIjsLKFPzC8ABgBHAmOAv5hZ5803MrNxZlZqZqUVFRUtm1AkDVx87N786uShADw+Zwm1dR44kYiI7KgkS9hioGdsvkdqWVw58JC7V7v7B8A8olK2CXef7O4l7l5SXFycWGCRdHbqgZ//cep/yVTcVcRERDJZkiVsJjDAzPqaWRFwOvDQZtv8i2gvGGbWlejw5IIEM4lktDd+9tX66b4XTw2YREREdlRiJczda4DxwDTgHeA+d59jZhPN7MTUZtOA5WY2F3gW+Im7L08qk0im69SmkJcvHlk/v2Z9dcA00miTJkVDRCTGMu2QRklJiZeWloaOIRLUqEnP8+6SNQB8eN1xgdOIiMjWmNksdy9paF3oE/NFpBkeO/+I+mldtiIDPPVUNEREYlTCRDKQmfHnM/avny9fURkwjWzXVVdFQ0QkRiVMJEON2rc7pxzQA4DDf/ls4DQiItJUKmEiGeyXqWuHAVRW1QRMIiIiTaUSJpLB8vOsfnrIFdMCJhERkaZSCRPJcO9e+fndvjLt284iIrlMJUwkw7UuzGfEwOhOEs+WfRI4jTTo5pujISISoxImkgX+b9QgAL57e6n2hqWjQYOiISISoxImkgX22aNT/bRuZ5SGHn44GiIiMSphIlni/nMODR1Btua3v42GiEiMSphIljig96710y+9vyxgEhERaQyVMJEsMv6ovQD49l9fDZxERES2RyVMJIucf/QAAGrqdHK+iEi6UwkTySKF+XkM7RGdpK/7SYqIpDeVMJEsU5I6N+w7t+qQZNq4885oiIjEqISJZJmfpq4Z9n7FZ7pmWLro2TMaIiIxKmEiWaZ1YX799JvlqwImkXr33hsNEZEYlTCRLPTgucMB+PsrCwMnEQBuuikaIiIxKmEiWWi/XrvQc9c23FdazorPqkLHERGRBqiEiWSpurrocb8rnwwbREREGqQSJpKlXvjpUfXT66trAyYREZGGqISJZKm8PKN9qwIALn3w7cBpRERkcyphIlns5UtGAnD/a+VUVtUETpPDpkyJhohITKIlzMxGmVmZmc03swkNrB9rZhVmNjs1vpdkHpFcs3FPGMBtL34YLkiu69o1GiIiMYmVMDPLB24ARgNDgDFmNqSBTe9192GpcUtSeURy1bQLRgDw62llVNXUBU6To26/PRoiIjFJ7gk7CJjv7gvcvQq4BzgpwdcTkQYM2r0D++zREYCBlz0WOE2OUgkTkQYkWcL2BBbF5stTyzZ3spm9aWZTzEz39RBJwH1nHRo6goiIbCb0ifkPA33cfSjwJPC3hjYys3FmVmpmpRUVFS0aUCQbtGtVwHcP6wvAU3OXBk4jIiKQbAlbDMT3bPVILavn7svdfUNq9hbggIaeyN0nu3uJu5cUFxcnElYk253wxe4APD5nSeAkIiICyZawmcAAM+trZkXA6cBD8Q3MrHts9kTgnQTziOS0vbtH54VNmVUeOImIiAAUbH+T5nH3GjMbD0wD8oFb3X2OmU0ESt39IeCHZnYiUAN8CoxNKo9IrmtdmF8/PeP95Rzav0vANDlm6tTQCUQkDZm7h87QJCUlJV5aWho6hkhGuv6Z9/jNE/MY0K09T/74S6HjiIhkPTOb5e4lDa0LfWK+iLSg8V8eQP/idrz3yVoy7X/AMtqNN0ZDRCRGJUwkx/Tu0g6AH94zO2yQXHLffdEQEYlRCRPJMT/+ykAAHn7jv6ysrAqcRkQkd6mEieSYfffsVD99638+CJhERCS3qYSJ5KCyq0YB8Mdn5lNbp3PDRERCUAkTyUGtCvLZpW0hAF+/8cXAaUREcpNKmEiOeuWSowF4s3yVvimZtOnToyEiEqMSJpKjigo+/+P/1uJVAZOIiOQmlTCRHPbIeYcDcOL1OiSZqN/8JhoiIjEqYSI5bOP9JAGqa+sCJslyjzwSDRGRGJUwkRyWn2cc1GdXAG55QZerEBFpSSphIjnuD2OGAfDLx9+lTperEBFpMSphIjmue6c29dP3zFwUMImISG5RCRMRnvvJkQBc8uBbYYNkqzZtoiEiElMQOoCIhLfxpt4AbyxayRd7dg4XJhs99ljoBCKShrQnTEQAOPOQ3gCc94/XAycREckNKmEiAsCVX9sXgI8+rQycJAtdeWU0RERiVMJEpF6/4uiw5LQ5SwInyTJPPx0NEZEYlTARqXfPuEMAOOvOWYGTiIhkP5UwEanXrUPr+un/m/JmwCQiItlPJUxENnHF8UMAuLdU1wwTEUmSSpiIbOK7h/etn15fXRswSRbp0iUaIiIxiZYwMxtlZmVmNt/MJmxju5PNzM2sJMk8ItI4E0/aB4CyJWsCJ8kS998fDRGRmG2WMIv0bM4Tm1k+cAMwGhgCjDGzIQ1s1wE4H3ilOa8jIjvfsNTFWm97UTf1FhFJyjZLmLs7MLWZz30QMN/dF7h7FXAPcFID210J/BJY38zXEZGdbGiPzgD8a/Z/wwbJFhdfHA0RkZjGHI58zcwObMZz7wnEz+wtTy2rZ2b7Az3d/dFmPL+IJMgserx/VnnYINlgxoxoiIjENKaEHQzMMLP3zexNM3vLzHb4u+tmlgf8DriwEduOM7NSMyutqKjY0ZcWkUa4fsz+AFz4zzcCJxERyU6NKWHHAP2BLwMnAMenHrdnMRA/n6xHatlGHYB9gelm9iFwCPBQQyfnu/tkdy9x95Li4uJGvLSI7Kjjhnavn+4z4VHq6jxgGhGR7LPVEmZmu5rZrsCarYztmQkMMLO+ZlYEnA48tHGlu69y967u3sfd+wAvAye6e2mz342I7FTTLzqyfrrfJc09PVRERBqyrT1hs4DS1GMFMA94LzW93XuauHsNMB6YBrwD3Ofuc8xsopmduKPBRSR5fbq245cnf6F+XtcNa6YePaIhIhJj0Rcgt7GB2V+AB919amp+NPA1dz+rBfJtoaSkxEtLtbNMpCWddvMMXvngU67++r586+DeoeOIiGQMM5vl7g1eB7Ux54QdsrGAAbj7Y8DwnRVORNLfrWOjL0hf/q+3AycREckejSlh/zWzy8ysT2pcCujiQSI5pF2rAgDqHF7/aEXgNBnogguiISISs60T8+9MTU4DioEHU6MYGJN8NBFJJ0O6dwTg6ze+FDhJBpo9OxoiIjEF21h3gJntAXwHOAowQN9RF8lRj/7wcPpeHJ2ZsL66ltaF+YETiYhktm0djvwz8DQwmOhbkjP5/NuSOjNeJMfYxkvoo71hIiI7w1ZLmLv/0d33Bm51936x0dfd+7VgRhFJEwuuORaAdz5eHTiJiEjm29bhSADc/ZyWCCIi6S8v7/O9YWvWV9OhdWHANBlk4MDQCUQkDW23hImINOT+WeWMPaxv6BiZYfLk0AlEJA015hIVIiL13pk4CoA7Xl4YOImISGZTCRORJmlTFH0rckHFZ7qpd2ONGxcNEZEYlTARabIvD+4GwP2vlQdOkiHmzYuGiEiMSpiINNnPT9gHgLIlawInERHJXCphItJkvbq0ZfDuHShbqhImItJcKmEi0ix7dG7DC+8t4z0VMRGRZlEJE5Fm+eZBvQD4yu+fD5wkAwwbFg0RkRhdJ0xEmuXoIbuFjpA5Jk0KnUBE0pD2hIlIs40YWAzAP0sXBU4iIpJ5VMJEpNnGHRHdRvauVz4KnCTNnXFGNEREYlTCRKTZDh/QFYA3Fq1k4fLPAqdJY+Xl0RARiVEJE5EdctaIaG/Yt255JXASEZHMohImIjtkwujBABTkWeAkIiKZRSVMRHaImXH4Xl35cHklj7+9JHQcEZGMoRImIjusd5e2AJx916zASdLUoYdGQ0QkJtESZmajzKzMzOab2YQG1p9tZm+Z2Wwz+4+ZDUkyj4gk4+qvf6F++o1FK8MFSVfXXhsNEZGYxEqYmeUDNwCjgSHAmAZK1t3u/gV3Hwb8CvhdUnlEJFnnfXkvAO5/Td8CFBFpjCT3hB0EzHf3Be5eBdwDnBTfwN1Xx2bbAZ5gHhFJ0IVfHQTAHTMWUlunP8qbOPnkaIiIxCRZwvYE4pfRLk8t24SZ/cDM3ifaE/bDBPOISAs55c8vhY6QXpYvj4aISEzwE/Pd/QZ37w/8H3BZQ9uY2TgzKzWz0oqKipYNKCKN9trlXwHg9Y9W4q69YSIi25JkCVsM9IzN90gt25p7gK81tMLdJ7t7ibuXFBcX77yEIrJT7dquiMP26gLAE3OXBk4jIpLekixhM4EBZtbXzIqA04GH4huY2YDY7HHAewnmEZEWcOO3DgDgpfnLAicREUlviZUwd68BxgPTgHeA+9x9jplNNLMTU5uNN7M5ZjYb+DHwnaTyiEjL6NSmEIC/zVgYOEkaGTkyGiIiMQVJPrm7TwWmbrbsitj0+Um+voiEVVVTR1FB8FNPw7v88tAJRCQN6W9HEdnpNl4z7Pt3lAZOIiKSvlTCRGSn++HI6HTP5+bp28wAjB4dDRGRGJUwEdnpCvPz2KtbewAWfVoZOE0aWLcuGiIiMSphIpKIiSfuA8BJN7wYOImISHpSCRORRBzSL7pe2KefVQVOIiKSnlTCRCQReXlG/+J2APzuyXmB04iIpB+VMBFJzMYLt/7x6fdYX10bOE1Axx8fDRGRGJUwEUnMoN07cPzQ7gCcf8/rgdMEdNFF0RARiVEJE5FE/fH0/QCYNmcp1bV1gdOIiKQPlTARSVRenvG9w/sC8I9XPwqcJpAjj4yGiEiMSpiIJO7S4/YG4Ip/z+HuV3K0iImIbEYlTEQSZ2aMPyq6ldElD77F3P+uDpxIRCQ8lTARaREXHTOIkYO7AXDsH18InEZEJDyVMBFpMX8Ys1/9dF2dB0wiIhKeSpiItJj2rQoYO7wPAIf/8pmwYVrSqadGQ0QkpiB0ABHJLZcetze3v/Qh7Vrl0F8/554bOoGIpCHtCRORFlWYn8dpJT2pWLsB9xw5JFlZGQ0RkRiVMBFpcUN7dmJlZTXzlq4NHaVlHHtsNEREYlTCRKTFHdB7FwCOmfR84CQiIuGohIlIixu8e8f66TfLV4YLIiISkEqYiARx/Tejy1WceP2LgZOIiIShEiYiQRw/dI/66b88vyBgEhGRMBItYWY2yszKzGy+mU1oYP2PzWyumb1pZk+bWe8k84hIenn+J0cBcPXUdwInSdjYsdEQEYlJrISZWT5wAzAaGAKMMbMhm232OlDi7kOBKcCvksojIumnV5e29dNXPzo3YJKEqYSJSAOS3BN2EDDf3Re4exVwD3BSfAN3f9bdN14852WgR4J5RCQNvX75VwD4ywsfsHT1+sBpErJsWTRERGKSLGF7Aoti8+WpZVvzv8BjCeYRkTS0S7siLjtubwAOvubpwGkScsop0RARiUmLE/PN7AygBPj1VtaPM7NSMyutqKho2XAikrjvHdGvfjpnrqIvIjkvyRK2GOgZm++RWrYJMzsauBQ40d03NPRE7j7Z3UvcvaS4uDiRsCIS1sWjBwNwTbafpC8ikpJkCZsJDDCzvmZWBJwOPBTfwMz2A24mKmCfJJhFRNLcdw/vC0Tnhn20XPdZFJHsl1gJc/caYDwwDXgHuM/d55jZRDM7MbXZr4H2wD/NbLaZPbSVpxORLFeYn8eD5w7HDEb94Xmqa+tCRxIRSVRBkk/u7lOBqZstuyI2fXSSry8imWW/Xrsw7oh+3Pz8Al5esJwjBmTJ6QfnnBM6gYikobQ4MV9EZKPTDoxOJT3zr69SV5clJ+mfdlo0RERiVMJEJK30K25P68Lor6Yn5i4NnGYnWbQoGiIiMSphIpJ2Xrk4OlNh4sNzAifZSc48MxoiIjEqYSKSdjq1LcQM/rtqPXfO+DB0HBGRRKiEiUhamjFhJACX/3sO1z32buA0IiI7n0qYiKSl3Tu15oZv7g/AlFk6n0pEso9KmIikreOGduey4/Zm2doqXpqvG2CLSHZRCRORtPa1/fYE4NpMPiR54YXREBGJSfRirSIiO6pr+1Z0blvIW4tXsbKyis5ti0JHaroTTgidQETSkPaEiUjau+brXwDgR/fODhukucrKoiEiEqM9YSKS9o79Qnc6tCrg2bIK5n+ylr26tQ8dqWnOOit6nD49aAwRSS/aEyYiGeGBc4cDcPTvngucRERk51AJE5GMMGC3DrQqiP7K+v2T8wKnERHZcSphIpIxZl4W3c7oD0+/h3uW3NxbRHKWSpiIZIyOrQv5RuqSFU+/80ngNCIiO0YlTEQyyi9O2geAf81eHDhJE1x2WTRERGJUwkQko3RoXcjXhu3BI29+THVtXeg4jXP00dEQEYlRCRORjHPSsOiQ5J0zFgZO0kizZ0dDRCRG1wkTkYxz1OBuFOYbEx+Zy9AenSjps2voSNt2wQXRo64TJiIx2hMmIhnpp8cMBuCUP8/gtY9WBE4jItJ0KmEikpG+P6IfXx2yGwDfuPElVlVWB04kItI0KmEikrEmf7uEP43ZD4AvTnyCyqqawIlERBpPJUxEMtoJX9yDLw0sBuCF95YFTiMi0niJljAzG2VmZWY238wmNLB+hJm9ZmY1ZnZKkllEJHtN/vYB7NK2kCfmLA0dpWHXXBMNEZGYxEqYmeUDNwCjgSHAGDMbstlmHwFjgbuTyiEi2a9VQT5De3Tm/tfKWbM+Dc8NGz48GiIiMUnuCTsImO/uC9y9CrgHOCm+gbt/6O5vAhlyxUURSVeDu3cA4OpH3wmcpAEvvRQNEZGYJEvYnsCi2Hx5apmIyE43YdRgurZvxT0zFzHujtLQcTZ1ySXREBGJyYgT881snJmVmllpRUVF6DgikobMjIfPOwyAJ+YuZfHKdYETiYhsW5IlbDHQMzbfI7Wsydx9sruXuHtJcXHxTgknItmne6c2PDQ+KmKHXfcM7h44kYjI1iVZwmYCA8ysr5kVAacDDyX4eiIiDO3RuX76thc/DJZDRGR7Eith7l4DjAemAe8A97n7HDObaGYnApjZgWZWDvw/4GYzm5NUHhHJHWVXjQLg+mfnB04iIrJ1id7A292nAlM3W3ZFbHom0WFKEZGdplVBPqcc0IMps8qZt3QNA3frEDbQpElhX19E0lJGnJgvItJUZ43oB8Cfp78fOAkwbFg0RERiVMJEJCv1K24PwAOvL2bRp5Vhwzz1VDRERGJUwkQkK+XnGX/9TgkAf3lhQdgwV10VDRGRGJUwEclaI/fejX5d23HHjIX0mfAo97z6UehIIiL1VMJEJKvd8K39Kem9CwATHniLJ+em6U2+RSTnqISJSFbbu3tHppwznLu/fzAA37+jlGumpuH9JUUk56iEiUhOGN6/a/3V9Cc/v4B/z27WDTxERHYalTARyRlDe3Tm1UtGAnD5v95mfXVty7zwzTdHQ0QkRiVMRHJKt46t+c3/+yKr19dwzKTnW+byFYMGRUNEJEYlTERyzikH9OAXJ+7DwuWVHPGrZ5le9kmyL/jww9EQEYlRCRORnPSd4X0Yve/uAIy9bSZX/Ptt3D2ZF/vtb6MhIhKjEiYiOeumMw7gkfMOp9eubbljxkK+8PMnWLWuOnQsEckRKmEiktP23bMTz/3kSADWbqjhi794glkLV4QNJSI5QSVMRHKemfHBtcfyk2Oik+dPvuklnn034fPERCTnqYSJiBAVsR8ctRe3jT0QgP/920yO/cML3Pzc+4GTiUi2ssRORE1ISUmJl5aWho4hIlns41XrOO/u1ylNHZbs06Utw/fqytVf2xcza/oTLloUPfbsuRNTikgmMLNZ7l7S0LqClg4jIpLuundqw5RzhvPuktU8/vYSHnx9MXe/8hHuztVf+wJ5eU0sYipfItIAlTARka0YvHtHBu/ekfNHDuDX08q4cfr7rF5fwykH9OCgPrvSrlUj/wq9997o8bTTkgsrIhlHhyNFRBrB3Tlm0vPMW7oWgF3aFvL704ZxSL8utC7M3/YPH3lk9Dh9eqIZRST96HCkiMgOMjMeP38Ec/67mvtKF/H3VxYy9raZAAzr2Zmxw/tw/NDuFOTr+04i0jjaEyYi0gzL125gelkFL85fxgOvL65f3mOXNnzz4F787+F9aVWQ2kOmPWEiOWtbe8JUwkREdtCqddXc+Ox83ihfyayFK6iu/fzv1TMO6cXE348nz0wlTCQHZdXhyLKyMo7c+H+VKaeeeirnnnsulZWVHHvssVv8zNixYxk7dizLli3jlFNO2WL9Oeecw2mnncaiRYs488wzt1h/4YUXcsIJJ1BWVsZZZ521xfrLLruMo48+mtmzZ3PBBRdssf6aa65h+PDhvPTSS1xyySVbrJ80aRLDhg3jqaee4qqrrtpi/c0338ygQYN4+OGH+W0D95+788476dmzJ/feey833XTTFuunTJlC165duf3227n99tu3WD916lTatm3LjTfeyH333bfF+umpfzh+85vf8Mgjj2yyrk2bNjz22GMAXHnllTz99NObrO/SpQv3338/ABdffDEzZszYZH2PHj246667ALjggguYPXv2JusHDhzI5MmTARg3bhzz5s3bZP2wYcOYNGkSAGeccQbl5eWbrD/00EO59tprATj55JNZvnz5JutHjhzJ5ZdfDsDo0aNZt27dJuuPP/54LrroIoAtfu9Av3v63ZsEwA++/z/1v3t7OCxbu4ElrXvR7cv/w10vf8So0tnkUcfYYQcD4MCBw0fw/fN/Ql2dc8lZ36S11RK/+oV+9/S7B/p7Lxt/9+ISLWFmNgr4A5AP3OLu1222vhVwB3AAsBw4zd0/TDKTiEiSzKC4QytOPLQf10w8hn+8uoizH9mXFSs+ZfmnlfXbVbz1MS+lzilbWr6KXVtDl3ZFdGxdSF4ebKipY/X6arwOamqdgvxmXJ9MRNJaYocjzSwfmAd8BSgHZgJj3H1ubJtzgaHufraZnQ583d23+R1uHY4UkUxUWVVDbZ2Tn2dU1zrzP1mDmZFnxlWPzK2/MOzWtC3KZ9d2RdTWOZ9+VsXxQ/dg8O4dcJxuHVqzR+c2AOyzR0eKCvLIN2v69cxEZKcLck6YmR0K/Nzdj0nNXwzg7tfGtpmW2maGmRUAS4Bi30YolTARyTgbD0mMHbvVTVavr2buf1cze9FKDMgzwyx6XFFZRfmKdZhBxZoNlC1Zw8rKaqpq67b5sl/s0Yk6B8dZ8Vk1Rw0upig/+rJAq8I89u+1y855fyIZakC39vTp2i7R1wh1TtiewKLYfDlw8Na2cfcaM1sFdAGWxTcys3HAOIBevXollVdEJBmNKGEdWxdySL8uHNKvS6OeckNNLVU1UQl775O1rKuqZdnaDSxcXsnytRv4YHkleQYGLPy0kk/WrOfB1xaTZ8aaDTU79n5EssSE0YM5+0v9g71+RpyY7+6TgckQ7QkLHEdEJLhWBfn1l8Bo6h6tdVW1vF+xNolYIhmlW8dWQV8/yRK2GIjfMK1HallD25SnDkd2IjpBX0REEtKmKJ999+wUOoZIzkvy0s4zgQFm1tfMioDTgYc22+Yh4Dup6VOAZ7Z1PpiIiIhItkhsT1jqHK/xwDSiS1Tc6u5zzGwiUOruDwF/Be40s/nAp0RFTURERCTr6Yr5IiJJq0xdH6xt27A5RKTFZdUV80VEMo7Kl4g0IMlzwkREBODGG6MhIhKjEiYikrT77ouGiEiMSpiIiIhIACphIiIiIgGohImIiIgEoBImIiIiEkDGXSfMzCqAhTv4NF3Z7CbhkhH0uWUefWaZSZ9b5tFnlr56u3txQysyroTtDGZWurULp0n60ueWefSZZSZ9bplHn1lm0uFIERERkQBUwkREREQCyNUSNjl0AGkWfW6ZR59ZZtLnlnn0mWWgnDwnTERERCS0XN0TJiIiIhJUzpYwM/u1mb1rZm+a2YNm1jl0JmmYmY0yszIzm29mE0Lnke0zs55m9qyZzTWzOWZ2fuhM0jhmlm9mr5vZI6GzSOOYWWczm5L6N+0dMzs0dCZpnJwtYcCTwL7uPhSYB1wcOI80wMzygRuA0cAQYIyZDQmbShqhBrjQ3YcAhwA/0OeWMc4H3gkdQprkD8Dj7j4Y+CL6/DJGzpYwd3/C3WtSsy8DPULmka06CJjv7gvcvQq4BzgpcCbZDnf/2N1fS02vIfpHYc+wqWR7zKwHcBxwS+gs0jhm1gkYAfwVwN2r3H1l0FDSaDlbwjbzXeCx0CGkQXsCi2Lz5egf84xiZn2A/YBXAkeR7ZsE/BSoC5xDGq8vUAHcljqMfIuZtQsdShonq0uYmT1lZm83ME6KbXMp0aGTv4dLKpKdzKw9cD9wgbuvDp1Hts7Mjgc+cfdZobNIkxQA+wM3uft+wGeAzp3NEAWhAyTJ3Y/e1nozGwscD4x0XasjXS0Gesbme6SWSZozs0KiAvZ3d38gdB7ZrsOAE83sWKA10NHM7nL3MwLnkm0rB8rdfeOe5imohGWMrN4Tti1mNopot/uJ7l4ZOo9s1UxggJn1NbMi4HTgocCZZDvMzIjOUXnH3X8XOo9sn7tf7O493L0P0Z+zZ1TA0p+7LwEWmdmg1KKRwNyAkaQJsnpP2HZcD7QCnoz+veBldz87bCTZnLvXmNl4YBqQD9zq7nMCx5LtOww4E3jLzGanll3i7lPDRRLJWucBf0/9j+oC4H8C55FG0hXzRURERALI2cORIiIiIiGphImIiIgEoBImIiIiEoBKmIiIiEgAKmEiIiIiAaiEiUhWMrNLzWyOmb1pZrPN7ODQmURE4nL5OmEikqXM7FCiu2Hs7+4bzKwrULQDz1fg7jU7LaCICNoTJiLZqTuwzN03ALj7Mnf/r5kdaGYvmdkbZvaqmXUws9ZmdpuZvZW6AfJREN3WzMweMrNngKfNrJ2Z3Zr6udfj96AVEWkO7QkTkWz0BHCFmc0DngLuBWakHk9z95lm1hFYB5wPuLt/wcwGA0+Y2cDU8+wPDHX3T83sGqJb+XzXzDoDr5rZU+7+WQu/NxHJEtoTJiJZx93XAgcA44AKovJ1FvCxu89MbbM6dYjxcOCu1LJ3gYXAxhL2pLt/mpr+KjAhdRum6UQ3ue7VEu9HRLKT9oSJSFZy91qisjTdzN4CftCMp4nv5TLgZHcv2wnxRES0J0xEso+ZDTKzAbFFw4B3gO5mdmBqmw5mVgC8AHwrtWwg0d6thorWNOA8M7PUtvsl9w5EJBdoT5iIZKP2wJ9S527VAPOJDk3ellrehuh8sKOBG4GbUnvLaoCxqW9Ubv6cVwKTgDfNLA/4gOgbmCIizWLuHjqDiIiISM7R4UgRERGRAFTCRERERAJQCRMREREJQCVMREREJACVMBEREZEAVMJEREREAlAJExEREQlAJUxEREQkgP8Pc6IEA3+FzvAAAAAASUVORK5CYII=\n",
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\n",
       "text/plain": [
        "<Figure size 720x360 with 1 Axes>"
       ]
@@ -786,15 +786,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\ProgramData\\Anaconda3\\envs\\alphapept\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "/Users/mstrauss/anaconda3/envs/alphapept/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
       "  warnings.warn(msg, FutureWarning)\n",
-      "C:\\ProgramData\\Anaconda3\\envs\\alphapept\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "/Users/mstrauss/anaconda3/envs/alphapept/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
       "  warnings.warn(msg, FutureWarning)\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 720x360 with 1 Axes>"
       ]
@@ -823,7 +823,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -835,7 +835,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -847,7 +847,7 @@
     },
     {
      "data": {
-      "image/png": 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GkDSSwq6i5TnWZGZmXeQWBBGxCTgfmA88BdwZEYslzZB0StZtPvCapCXAA8DFEfFaXjWZmVkpRUSta+iT1tbWaG9vr3UZZmYDiqRHI6K1XFutJ4vNzKzGHARmZolzEJiZJc5BYGaWuD4HgaRBkv4mj2LMzKz6KgaBpGGSLpX0A0mfUsEFFI7zP6N6JZqZWZ66O/vorcAbwB+BvwcuAwRMjYhF+ZdmZmbV0F0QjI2ICQCS/g+wGtg3It6tSmVmZlYV3c0RbNxyIyI2AysdAmZm9ae7LYJDJL1JYXcQQFPRckTEsNyrMzOz3FUMgohoqGYhZmZWGxWDQNLOwD8CBwJPALdkJ5IzM7M60t0cwU+AVuBJYDJwXVUqMjOzqupujmB80VFDPwb+VJ2SzMysmnp71JB3CZmZ1anutggOzY4SgsKRQj5qyMysDnUXBI9HxMSqVWJmZjXR3a6hgXXpMjMz2ybdbRHsJenLlRoj4voc6jEzsyrrLggagF354JvFZmZWh7oLgtURMaNqlZiZWU10N0fgLQEzswR0FwTHV60KMzOrmYpBEBGvV7MQMzOrDV+83swscQ4CM7PEOQjMzBKXaxBImiRpqaRlki7ppt9nJYWk1jzrMTOzUrkFgaQG4Ebg08B4YLqk8WX67Qb8L+DhvGoxM7PK8twiOBxYFhHLI2IDMAeYUqbf14FvAu/mWIuZmVWQZxC0ACuKlldm67aSdBgwOiJ+2d0DSTpXUruk9o6Ojv6v1MwsYTWbLJY0CLgeuKinvhExKyJaI6K1ubk5/+LMzBKSZxCsAkYXLY/K1m2xG/Ax4HeSngOOBNo8YWxmVl15BsEjwDhJ+0saAkwD2rY0RsTaiBgZEWMiYgywADglItpzrMnMzLrILQiy6xyfD8wHngLujIjFkmZIOiWv5zUzs77p7jTU2y0i5gHzuqy7vELf4/KsxczMyvM3i83MEucgMDNLnIPAzCxxDgIzs8Q5CMzMEucgMDNLnIPAzCxxDgIzs8Q5CMzMEucgMDNLnIPAzCxxDgIzs8Q5CMzMEucgMDNLnIPAzCxxDgIzs8Q5CMzMEucgMDNLnIPAzCxxDgIzs8Q5CMzMEucgMDNLnIPAzCxxDgIzs8Q5CMzMEucgMDNLnIPAzCxxuQaBpEmSlkpaJumSMu1flrRE0hOS7pe0X571mJlZqdyCQFIDcCPwaWA8MF3S+C7dFgKtEfGXwN3At/Kqx8zMystzi+BwYFlELI+IDcAcYEpxh4h4ICLWZYsLgFE51mNmZmXkGQQtwIqi5ZXZukrOBn5VrkHSuZLaJbV3dHT0Y4lmZrZDTBZLOhNoBWaWa4+IWRHRGhGtzc3N1S3OzKzODc7xsVcBo4uWR2XrOpF0AvDPwMcj4r0c6zEzszLy3CJ4BBgnaX9JQ4BpQFtxB0kTgZuBUyLilRxrMTOzCnILgojYBJwPzAeeAu6MiMWSZkg6Jes2E9gVuEvSIkltFR7OzMxykueuISJiHjCvy7rLi26fkOfzm5lZz3aIyWIzM6sdB4GZWeIcBGZmiXMQmJklzkFgZpY4B4GZWeIcBGZmiXMQmJklzkFgZpY4B4GZWeIcBGZmiXMQmJklzkFgZpY4B4GZWeIcBGZmiXMQmJklzkFgZpY4B4GZWeIcBGZmiXMQmJklzkFgZpY4B4GZWeIcBGZmiXMQmJklzkFgZpY4B4GZWeIcBGZmiXMQmJklLtcgkDRJ0lJJyyRdUqZ9J0l3ZO0PSxqTZz1mZlYqtyCQ1ADcCHwaGA9MlzS+S7ezgTci4kDgO8A386rHzMzKy3OL4HBgWUQsj4gNwBxgSpc+U4CfZLfvBo6XpBxrMjOzLvIMghZgRdHyymxd2T4RsQlYC+zZ9YEknSupXVJ7R0dHTuWamaVpQEwWR8SsiGiNiNbm5uZal2NmVlfyDIJVwOii5VHZurJ9JA0Gdgdey7EmMzPrIs8geAQYJ2l/SUOAaUBblz5twBez26cDv42IyLEmMzPrYnBeDxwRmySdD8wHGoBbImKxpBlAe0S0AT8GbpW0DHidQliYmVkV5RYEABExD5jXZd3lRbffBT6XZw1mZta9ATFZbGZm+XEQmJklzkFgZpY4B4GZWeIcBGZmiXMQmJklzkFgZpY4B4GZWeIcBGZmiXMQmJklzkFgZpY4B4GZWeI00M76LKkDeL6KTzkSeLWKz1dtHt/AVc9jA4+vv+0XEWWv7DXggqDaJLVHRGut68iLxzdw1fPYwOOrJu8aMjNLnIPAzCxxDoKezap1ATnz+Aaueh4beHxV4zkCM7PEeYvAzCxxDgIzs8Q5CDKSJklaKmmZpEvKtO8k6Y6s/WFJY2pQ5jbpxdi+LGmJpCck3S9pv1rUua16Gl9Rv89KCkk7xCF7vdWb8Uk6I3sNF0u6rdo1bo9evD/3lfSApIXZe3RyLercFpJukfSKpP+o0C5J38vG/oSkw6pdIwARkfwP0AA8A4wFhgCPA+O79PnvwA+z29OAO2pddz+O7RPA0Oz2eQNlbL0dX9ZvN+BBYAHQWuu6+/n1GwcsBEZky3vVuu5+Ht8s4Lzs9njguVrX3YfxHQscBvxHhfbJwK8AAUcCD9eiTm8RFBwOLIuI5RGxAZgDTOnSZwrwk+z23cDxklTFGrdVj2OLiAciYl22uAAYVeUat0dvXjuArwPfBN6tZnH9oDfjOwe4MSLeAIiIV6pc4/bozfgCGJbd3h14sYr1bZeIeBB4vZsuU4CfRsECYLikvatT3QccBAUtwIqi5ZXZurJ9ImITsBbYsyrVbZ/ejK3Y2RT+hzJQ9Di+bHN7dET8spqF9ZPevH4fBj4s6SFJCyRNqlp1268347sSOFPSSmAecEF1SquKvv595mJwtZ/QdlySzgRagY/Xupb+ImkQcD1wVo1LydNgCruHjqOwNfegpAkRsaaWRfWj6cDsiLhO0lHArZI+FhHv17qweuEtgoJVwOii5VHZurJ9JA2msIn6WlWq2z69GRuSTgD+GTglIt6rUm39oafx7QZ8DPidpOco7IdtG0ATxr15/VYCbRGxMSKeBf5MIRgGgt6M72zgToCI+COwM4UTttWDXv195s1BUPAIME7S/pKGUJgMbuvSpw34Ynb7dOC3kc327OB6HJukicDNFEJgIO1fhh7GFxFrI2JkRIyJiDEU5kBOiYj22pTbZ715b86lsDWApJEUdhUtr2KN26M343sBOB5A0kcoBEFHVavMTxvwhezooSOBtRGxutpFeNcQhX3+ks4H5lM4iuGWiFgsaQbQHhFtwI8pbJIuozD5M612FfdeL8c2E9gVuCub/34hIk6pWdF90MvxDVi9HN984FOSlgCbgYsjYiBsrfZ2fBcBP5L0JQoTx2cNkP+EIel2CiE9MpvjuAJoBIiIH1KY85gMLAPWAX9XkzoHyO/TzMxy4l1DZmaJcxCYmSXOQWBmljgHgZlZ4hwEZmaJcxCY9ZKkzZIWFf2MkXScpLXZ8lOSrsj6Fq9/WtK3a12/WSX+HoFZ762PiEOLV2SnI/99RJwkaRdgkaR7suYt65uAhZJ+EREPVbdks555i8Csn0TEO8CjwIFd1q8HFlGDk4mZ9YaDwKz3mop2C/2ia6OkPSmcy2hxl/UjKJz758HqlGnWN941ZNZ7JbuGMn8laSHwPnBtdoqE47L1j1MIgRsi4qWqVWrWBw4Cs+33+4g4qdJ6SfsDCyTdGRGLqlybWY+8a8gsZ9mpoa8FvlLrWszKcRCYVccPgWOzo4zMdig++6iZWeK8RWBmljgHgZlZ4hwEZmaJcxCYmSXOQWBmljgHgZlZ4hwEZmaJ+/9aoeQR9GXgCAAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -859,7 +859,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -890,7 +890,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -902,7 +902,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -914,7 +914,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -926,7 +926,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]


Test patch:
diff --git a/test_helper.py b/test_helper.py
index 0cc28f94..07de0491 100644
--- a/test_helper.py
+++ b/test_helper.py
@@ -13,7 +13,6 @@ def prepare_files(path1, path2):
     df1 = [pd.DataFrame(np.array(h5py.File(path1)['protein_fdr'][_])) for _ in h5py.File(path1)['protein_fdr'].keys()]
     df1 = pd.concat(df1, axis=1)
     df1.columns = h5py.File(path1)['protein_fdr'].keys()
-
     # add sequence charge
     df1['missed_cleavages'] = df1['sequence'].str[:-1].str.count('K') + df1['sequence'].str[:-1].str.count('R')
 
@@ -44,7 +43,7 @@ def compare_field(df1, df2, software_1, software_2, field, exclude_decoy=True):
                  'digestion':'Occurence of last AA in sequence',
                  'total_missed_cleavages':'Total number of missed cleavages',
                  'missed_cleavages':'Ratio of number of of missed cleavages'}#nicer descriptions for the plots
-
+    
     if exclude_decoy:
         df1 = df1[~df1['decoy']]
         df2 = df2[~df2['decoy']]
@@ -194,22 +193,26 @@ def protein_rank(df1, df2, software_1, software_2):
     plt.ylabel('Protein Intensity')
     plt.show()
 
+
 def get_plot_df(ref, base_columns, ratio_columns, ax, id_):
 
     to_plot = pd.DataFrame()
+    ref[base_columns] = ref[base_columns].replace(0, np.nan)
+    ref[ratio_columns] = ref[ratio_columns].replace(0, np.nan)
     to_plot['Species'] = ref['Species']
 
     to_plot['base'] = ref[base_columns].median(axis=1)
     to_plot['ratio'] = ref[ratio_columns].median(axis=1)
-    to_plot['base_cnt'] = (ref[base_columns] != 0).sum(axis=1)
-    to_plot['ratio_cnt'] = (ref[ratio_columns] != 0).sum(axis=1)
+    to_plot['base_cnt'] = ref[base_columns].notna().sum(axis=1)
+    to_plot['ratio_cnt'] = ref[ratio_columns].notna().sum(axis=1)
 
     to_plot['ratio_'] = np.log2(to_plot['base'] / to_plot['ratio'])
     to_plot['sum_'] = np.log2(to_plot['ratio'])
 
     valid = to_plot.query(f'ratio_cnt >= 2 and base_cnt >=2')
 
-    ax = sns.scatterplot(ax = ax, x="ratio_", y="sum_", hue="Species", data=valid, alpha=0.2)
+    ax = sns.scatterplot(ax = ax, x="ratio_", y="sum_", hue="Species",
+    hue_order=['Homo sapiens', "Escherichia coli","X"], data=valid, alpha=0.2)
 
     homo = valid[valid['Species'] == 'Homo sapiens']['ratio_'].values
     e_coli = valid[valid['Species'] == 'Escherichia coli']['ratio_'].values