Differentiate between correlations and bubbles with warm/cool palette…

…s, respectively.

.tools/requirements/requirements_both.txt

@@ -2,6 +2,7 @@
 # * Changes below should persist in significant template updates.
 
 git+https://github.com/blakeNaccarato/boilercine@main
+git+https://github.com/blakeNaccarato/CMasher@fix-cm-deprecation
 
 # * -------------------------------------------------------------------------------- * #
 # * Changes below may be lost in significant template updates.

data/docs.dvc

@@ -1,6 +1,6 @@
 outs:
-- md5: 29f21802e3cd8d82a796750710d8fb82.dir
-  size: 3430183
+- md5: 24468ff299e6b6f608ceb7e52618af0d.dir
+  size: 3246802
   nfiles: 11
   hash: md5
   path: docs

pyproject.toml

@@ -9,7 +9,7 @@ description = "Computer vision routines suitable for nucleate pool boiling bubbl
 readme = "README.md"
 requires-python = ">=3.11"
 classifiers = [ "License :: OSI Approved :: MIT License",]
-dependencies = [ "dvc[gs]>=3.10.1", "imageio[pyav]>=2.31.1", "ipykernel>=6.25.0", "loguru>=0.7.0", "matplotlib>=3.7.2", "nbconvert>=7.7.3", "opencv-contrib-python>=4.8.0.74", "pandas[hdf5,performance]>=2.0.3", "pandera>=0.16.1", "pillow>=10.0.0", "ploomber-engine>=0.0.30", "pyarrow>=12.0.1", "pydantic>=1.10.12", "pyjanitor>=0.25.0", "pyqtgraph>=0.13.3", "pyside6>=6.5.2", "pytz>=2023.3", "pyyaml>=6.0.1", "ruamel.yaml>=0.17.32", "scikit-image>=0.21.0", "scipy>=1.11.1", "seaborn>=0.12.2", "sparklines>=0.4.2", "sympy>=1.12", "trackpy>=0.6.1", "xarray[accel,io,parallel]>=2023.7.0", "numba>=0.57.1", "numpy>=1.24.4",]
+dependencies = [ "colorcet>=3.0.1", "dvc[gs]>=3.10.1", "imageio[pyav]>=2.31.1", "ipykernel>=6.25.0", "loguru>=0.7.0", "matplotlib>=3.7.2", "nbconvert>=7.7.3", "opencv-contrib-python>=4.8.0.74", "pandas[hdf5,performance]>=2.0.3", "pandera>=0.16.1", "pillow>=10.0.0", "ploomber-engine>=0.0.30", "pyarrow>=12.0.1", "pydantic>=1.10.12", "pyjanitor>=0.25.0", "pyqtgraph>=0.13.3", "pyside6>=6.5.2", "pytz>=2023.3", "pyyaml>=6.0.1", "ruamel.yaml>=0.17.32", "scikit-image>=0.21.0", "scipy>=1.11.1", "seaborn>=0.12.2", "sparklines>=0.4.2", "sympy>=1.12", "trackpy>=0.6.1", "xarray[accel,io,parallel]>=2023.7.0", "numba>=0.57.1", "numpy>=1.24.4",]
 [[project.authors]]
 name = "Blake Naccarato, Kwang Jin Kim"
 email = "blake.naccarato@gmail.com"

requirements.txt

@@ -1,4 +1,5 @@
 # List project dependencies here. A workflow ports them to `pyproject.toml`
+colorcet==3.0.1
 dvc[gs]==3.10.1
 imageio[pyav]==2.31.1
 ipykernel==6.25.0

src/boilercv/format.py

@@ -1,16 +1,12 @@
 # type: ignore pyright 1.1.308, local/CI differences, below
 from collections.abc import Mapping
 from contextlib import contextmanager
-from typing import Any, Literal
+from typing import Any
 
 import matplotlib as mpl
-import numpy as np
 import pandas as pd
 from IPython.core.display import Markdown, Math  # type: ignore
 from IPython.display import display  # type: ignore
-from matplotlib import pyplot as plt
-from matplotlib.axis import XAxis, YAxis
-from matplotlib.ticker import MaxNLocator
 from sympy import FiniteSet
 from sympy.printing.latex import latex
 
@@ -43,37 +39,6 @@ def math_mod(expr, long_frac_ratio=3, **kwargs):
 # * PLOTTING
 
 
-def smart_set_lim(
-    ax: plt.Axes,
-    axis: Literal["x", "y", "z"],
-    limit: tuple[float, float],
-    prec: int = 0,
-):
-    """Set axis limits with smart precision and tick handling.
-
-    If axis limits exceed one, simply set the limits. Otherwise, set limits and
-    automatically choose the minimum necessary label format precision to represent the
-    limits. Limit the number of major ticks so as not to repeat tick labels given the
-    format precision.
-
-    Args:
-        ax: The axes object to operate on.
-        axis: The axis (e.g. "x" or "y") to operate on.
-        limit: The axes limits to apply.
-        prec: The maximum precision for the major ticks. Default is 0.
-    """
-    getattr(ax, f"set_{axis}lim")(*limit)
-    if np.max(limit) > 1:
-        return
-    if prec == 0:
-        prec = int(np.min(np.floor(np.log10(np.array(limit)[np.array(limit) != 0]))))
-    axis_to_set: XAxis | YAxis = getattr(ax, f"{axis}axis")
-    axis_to_set.set_major_formatter(f"{{:#.{-prec}f}}".format)
-    axis_to_set.set_major_locator(
-        MaxNLocator(int(np.squeeze(np.diff(limit)) * 10**-prec))
-    )
-
-
 @contextmanager
 def manual_subplot_spacing():
     """Context manager that allows custom spacing of subplots."""