Autofix all notebook linting errors

[mfitz]

• Fixes Example notebooks have linting errors #289

Before

nbqa ruff examples/
examples/02a_tabular_read_write.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
  |
1 |   # %%NBQA-CELL-SEP48762f
2 | / import os
3 | |
4 | | import pandas as pd
5 | | from pam import read
6 | |
7 | | # %%NBQA-CELL-SEP48762f
  | |_^ I001
8 |   trips = pd.read_csv(
9 |       os.path.join("data", "example_data", "example_travel_diaries.csv"), index_col="uid"
  |
  = help: Organize imports

examples/03_read_modify_write.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
   |
 1 |   # %%NBQA-CELL-SEP48762f
 2 | / import os
 3 | | from collections import defaultdict
 4 | |
 5 | | import geopandas as gp
 6 | | import pandas as pd
 7 | | from matplotlib import pyplot as plt
 8 | | from pam import policy, read
 9 | | from pam.policy import apply_policies
10 | |
11 | | hash(0xFE7F7A94)
   | |_^ I001
12 |
13 |   # %%NBQA-CELL-SEP48762f
   |
   = help: Organize imports

examples/04_point_sampling.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
   |
 1 |   # %%NBQA-CELL-SEP48762f
 2 | / import os
 3 | |
 4 | | import geopandas as gp
 5 | | import pandas as pd
 6 | | from matplotlib import pyplot as plt
 7 | | from pam import read
 8 | | from pam.samplers.spatial import RandomPointSampler
 9 | |
10 | | # %%NBQA-CELL-SEP48762f
   | |_^ I001
11 |   trips = pd.read_csv(
12 |       os.path.join("data", "example_data", "example_travel_diaries.csv"), index_col="uid"
   |
   = help: Organize imports

examples/05_activity_plots.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
   |
 1 |   # %%NBQA-CELL-SEP48762f
 2 | / import os
 3 | |
 4 | | import pandas as pd
 5 | | from pam import read
 6 | | from pam.plot.stats import plot_activity_times, plot_leg_times
 7 | |
 8 | | # %%NBQA-CELL-SEP48762f
   | |_^ I001
 9 |   data_path = os.path.join("data", "example_data")
10 |   trips = pd.read_csv(os.path.join(data_path, "example_travel_diaries.csv"))
   |
   = help: Organize imports

examples/07_travel_survey_to_matsim.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
   |
 1 |   # %%NBQA-CELL-SEP48762f
 2 | / import os
 3 | | from copy import deepcopy
 4 | |
 5 | | import geopandas as gp
 6 | | import pandas as pd
 7 | | from pam import read, write
 8 | | from pam.core import Population
 9 | | from pam.plot.stats import plot_activity_times, plot_leg_times
10 | | from pam.samplers.basic import freq_sample
11 | | from pam.samplers.spatial import RandomPointSampler
12 | |
13 | | # %%NBQA-CELL-SEP48762f
   | |_^ I001
14 |   use_dummy_data = True
   |
   = help: Organize imports

examples/08_toy_matsim_population.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
   |
 1 |   # %%NBQA-CELL-SEP48762f
 2 | / import os
 3 | |
 4 | | import geopandas as gp
 5 | | import matplotlib.pyplot as plt
 6 | | import numpy as np
 7 | | import pandas as pd
 8 | | from pam.activity import Activity, Leg
 9 | | from pam.core import Household, Person, Population
10 | | from pam.plot.stats import plot_activity_times
11 | | from pam.read import load_travel_diary
12 | | from pam.report.benchmarks import distance_counts, duration_counts
13 | | from pam.samplers import facility
14 | | from pam.utils import minutes_to_datetime as mtdt
15 | | from pam.variables import END_OF_DAY
16 | | from pam.write import to_csv, write_matsim, write_od_matrices
17 | |
18 | | hash(0x40F3F06D)
   | |_^ I001
19 |
20 |   # %%NBQA-CELL-SEP48762f
   |
   = help: Organize imports

examples/10_advanced_spatial_sampling.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
   |
 1 |   # %%NBQA-CELL-SEP48762f
 2 | / import logging
 3 | |
 4 | | import geopandas as gp
 5 | | import matplotlib.pyplot as plt
 6 | | import numpy as np
 7 | | import pam
 8 | | import pandas as pd
 9 | | from pam.activity import Activity, Leg
10 | | from pam.core import Household, Person, Population
11 | | from pam.samplers import facility
12 | | from pam.utils import minutes_to_datetime
13 | | from shapely.geometry import Point, Polygon
14 | |
15 | | # %%NBQA-CELL-SEP48762f
   | |_^ I001
16 |   # create random spatial data
   |
   = help: Organize imports

examples/13_Advanced_Freight_Synthesis.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
   |
 1 |   # %%NBQA-CELL-SEP48762f
 2 | / import os
 3 | | from datetime import date
 4 | |
 5 | | import geopandas as gp
 6 | | import matplotlib
 7 | | import numpy as np
 8 | | import pandas as pd
 9 | | from matplotlib import pyplot as plt
10 | | from pam.core import Household, Person, Population
11 | | from pam.samplers import tour
12 | | from pam.samplers.facility import FacilitySampler
13 | |
14 | | matplotlib.style.use("ggplot")
   | |_^ I001
15 |
16 |   # %%NBQA-CELL-SEP48762f
   |
   = help: Organize imports

examples/14_Advanced_Plan_Cropping.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
   |
 1 |   # %%NBQA-CELL-SEP48762f
 2 | / from copy import deepcopy
 3 | |
 4 | | import geopandas as gp
 5 | | import matplotlib.pyplot as plt
 6 | | from pam.activity import Activity, Leg, Plan
 7 | | from pam.core import Household, Person, Population
 8 | | from pam.operations import cropping
 9 | | from pam.utils import minutes_to_datetime as mtdt
10 | | from pam.variables import END_OF_DAY
11 | | from shapely.geometry import Point, Polygon
12 | |
13 | | # %%NBQA-CELL-SEP48762f
   | |_^ I001
   |
   = help: Organize imports

examples/15_advanced_choice_modelling.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
   |
 1 |   # %%NBQA-CELL-SEP48762f
 2 | / import logging
 3 | | import os
 4 | | import random
 5 | |
 6 | | import numpy as np
 7 | | import pandas as pd
 8 | | from pam.operations.cropping import link_population
 9 | | from pam.planner import choice_location as choice
10 | | from pam.planner.od import ODFactory, ODMatrix
11 | | from pam.read import read_matsim
12 | | from prettytable import PrettyTable
13 | |
14 | | logging.basicConfig(level=logging.DEBUG)
   | |_^ I001
15 |   random.seed(0)
   |
   = help: Organize imports

examples/17_advanced_discretionary_locations.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
   |
 1 |   # %%NBQA-CELL-SEP48762f
 2 | / import logging
 3 | | import random
 4 | | from copy import deepcopy
 5 | |
 6 | | import numpy as np
 7 | | import pandas as pd
 8 | | from pam.activity import Activity, Leg, Plan
 9 | | from pam.location import Location
10 | | from pam.planner.choice_location import DiscretionaryTripOD, DiscretionaryTrips
11 | | from pam.planner.od import ODFactory, ODMatrix
12 | | from pam.planner.utils_planner import get_trip_chains_either_anchor
13 | | from pam.utils import minutes_to_datetime as mtdt
14 | | from pam.variables import END_OF_DAY
15 | | from prettytable import PrettyTable
16 | | from shapely.geometry import Point
17 | |
18 | | logging.getLogger("pam").setLevel(logging.DEBUG)
   | |_^ I001
19 |   random.seed(0)
   |
   = help: Organize imports

examples/18_advanced_ipf.ipynb:cell_1:1:1: I001 [*] Import block is un-sorted or un-formatted
   |
 1 |   # %%NBQA-CELL-SEP48762f
 2 | / import itertools
 3 | |
 4 | | import pandas as pd
 5 | | from pam.core import Person, Population
 6 | | from pam.planner import ipf
 7 | |
 8 | | # %%NBQA-CELL-SEP48762f
   | |_^ I001
 9 |   zone_data = pd.DataFrame(
10 |       {
   |
   = help: Organize imports

Found 12 errors.
[*] 12 fixable with the `--fix` option.

This confirmed the results of the hosted pre-commit check.

Automatically Fixing Errors

nbqa ruff --fix examples/
Found 12 errors (12 fixed, 0 remaining).

Local pre-commit check

git status
On branch fix-notebook-linting-errors
Changes to be committed:
  (use "git restore --staged <file>..." to unstage)
	modified:   examples/02a_tabular_read_write.ipynb
	modified:   examples/03_read_modify_write.ipynb
	modified:   examples/04_point_sampling.ipynb
	modified:   examples/05_activity_plots.ipynb
	modified:   examples/07_travel_survey_to_matsim.ipynb
	modified:   examples/08_toy_matsim_population.ipynb
	modified:   examples/10_advanced_spatial_sampling.ipynb
	modified:   examples/13_Advanced_Freight_Synthesis.ipynb
	modified:   examples/14_Advanced_Plan_Cropping.ipynb
	modified:   examples/15_advanced_choice_modelling.ipynb
	modified:   examples/17_advanced_discretionary_locations.ipynb
	modified:   examples/18_advanced_ipf.ipynb

git commit -m "Autofix all notebook linting errors"
check for added large files..............................................Passed
black................................................(no files to check)Skipped
ruff.................................................(no files to check)Skipped
nbqa-black...............................................................Passed
nbqa-ruff................................................................Passed
forbidden files......................................(no files to check)Skipped
[fix-notebook-linting-errors 05d19fc] Autofix all notebook linting errors

After

nbqa ruff examples/
All checks passed!

The hosted pre-commit check agrees.