barrysmyth

def plot_heatline_with_border(ax, x, y, c, w, bw=4, bc='midnightblue'):
    """Plot a colour-coded segmented line graph with a border.
    Args:
        ax - the current axis.
        x - x-axis values.
        y - y-axis values.
        c - the colours for the segments in the line graph defined by x, y.
        w - the line widths for the segments in the line graph defined by x, y.
        bw - the border thisckness.
        bc - the border colour.

barrysmyth

def plot_heatline(ax, x, y, c, w):
    """Plot a colour-coded segmented line graph with a border.
    Args:
        ax - the current axis.
        x - x-axis values.
        y - y-axis values.
        c - the colours for the segments in the line graph defined by x, y.
        w - the line widths for the segments in the line graph defined by x, y.    
    """
    

barrysmyth

def plot_session_pie(headline, header, chart, footer, session, fontsize=15, min_frac=0.05):
    """ Plot a pie chart based on the minutes in each HR zone for the session.
     
    Args:
         headline - axis for the chart headline/title
         header - axis for the chart header info (weekly mins, RE, % easy).
         chart - axis for the main chart (horizontal bar).
         footer - axis for the weekly kms and mean pace.
         
         week - a dataframe with data for the week to be summarised.

barrysmyth

def plot_training_week_summary_bars(headline, header, chart, footer, week, fontsize=15):
    """ Plot a summary of the training week.
    
    Args:
        headline - axis for the chart headline/title.
        header - axis for the chart header info (weekly mins, RE, % easy).
        chart - axis for the main chart (horizontal bar).
        footer - axis for the weekly kms and mean pace.
        
        week - a dataframe with data for the week to be summarised.

barrysmyth

# The unit height of each row.
row_h = 10

# The outer grid.
sessions_grid = gridspec.GridSpec((16*row_h), 8, figure=fig, wspace=.1, hspace=.5)

fig = plt.figure(figsize=(10, 20))

# Iterate for each row (16 weeks) and column (weekly summary col + 7 x days) ...
for row in range(16):

barrysmyth

from matplotlib.pylab import plt

# Create a 16x8 grid of axes.
fig, axs = plt.subplots(figsize=(4, 10), nrows=16, ncols=8)

# Assign plots to asxes ...
plot_weekly_summary(ax=axs[0, 0], ...)
plot_session_pie(ax=axs[0, 1], ...)
:

barrysmyth

def play_wordle(target, words, v):
  """
  Play Wordle for a given target word.
  
  Args:
  
  target: the target word.
  words: the words available as guesses.
  v: the vocabulary setting.
  

barrysmyth

import math
import numpy as np
import matplotlib.pylab as plt


def harriss_plot_adj(
    ax, n, 
    
    angle=11.45, twist=1.8,  # Controls the odd/even turn angles
    

barrysmyth

def collatz(n):
    """The Collatz operator: If n is even return n/2 else return 3n+1."""
    
    # If n is even then divide by 2.
    if n%2==0:
        return int(n/2)
    
    # Otherwise return 3n+1
    else:
        return (3*n)+1

barrysmyth

import math
import numpy as np
import matplotlib.pylab as plt


def turn_angle(n, angle, twist):
    """Compute the turn angle based on whether n is even or odd.
    
    Args: