training_log_grid_16_x_8.py

training_log_grid_detailed.py

# 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):

    for col in range(8):

        # Every section has 5 separate areas/axes
        # The gutter provides for spacing between rows and a vertical line
        session_gutter = fig.add_subplot(sessions_grid[(row*row_h), col])

        # The title/headline is the location of the main title of the chart
        session_headline = fig.add_subplot(sessions_grid[(row*row_h)+1, col])

        # The header is used for secondary information.
        session_header = fig.add_subplot(sessions_grid[(row*row_h)+2, col])

        # The main chart area (pie or bar chart as appropriate)
        session_chart = fig.add_subplot(sessions_grid[(row*row_h)+3:(row*row_h)+3+(row_h-4), col])

        # The footer is used for additional secondary information.
        session_footer = fig.add_subplot(sessions_grid[(row*row_h)+(row_h-1), col])