Desenvolupament de jocs

L’estat de desenvolupament de les diferents idees o projectes relacionats amb els jocs de taula que tinc entre mans està resumit en aquest diagrama que teniu abaix i, que, com no podia ser d’una altra manera, l’he fet amb Python i he incrustat el codi aquí abaix per si teniu curiositat.

Code

import numpy as np
import plotly.graph_objects as go

PROJECT_DATA = [
  ("Aventureiros ó tren, Galicia", 0.4, "Playtesting"),
  ("Código Segredo", 0.9, "Primera versión completa, PnP na boardgamegeek"),
  ("Cronocartas Historia de Galicia", 0.7, "En preproducción"),
  ("Cronocartes Història de Catalunya", 1.0, "Disponible"),

]

# Create a figure
fig = go.Figure()

# Set up bar parameters
bar_width = 0.35
bar_height = 0.1
gap_between_bars = 0.05
num_bars = len(PROJECT_DATA)

# Calculate bar positions and widths
bar_positions = np.arange(num_bars) * (bar_width + gap_between_bars) + bar_width / 2
bar_widths = [bar_width] * num_bars

# Create foreground bars with rounded corners and slightly smaller width
for i in range(num_bars):
    completion_rate = PROJECT_DATA[i][1]
    hover_text = PROJECT_DATA[i][2]

    fig.add_trace(go.Bar(
        x=[completion_rate],
        y=[bar_positions[i]],
        width=bar_widths[i] * 0.8,
        orientation='h',
        marker=dict(color='#14a2ff', line=dict(width=1, color='#0072bd'), cornerradius=10),
        hovertext=hover_text,
        hoverinfo='text',
    ))

# Add project names within bars, left-justified
for i in range(num_bars):
    project_name = PROJECT_DATA[i][0]
    x = PROJECT_DATA[i][1]
    fig.add_annotation(
        x = 0.02,
        y = bar_positions[i],
        text = project_name,
        showarrow = False,
        xanchor="left",
        font=dict(color="white", size=11),
    )

# Set up plot appearance
fig.update_layout(
    xaxis=dict(range=[0, 1], tickvals=[0, 0.25, 0.5, 0.75, 1], ticktext=['0%', '25%', '50%', '75%', '100%']),
    yaxis=None,
    #margin=dict(l=0, r=0, b=0, t=30),
    showlegend=False,
    autosize=False,
    width=500,
    height=200,
)
fig.update_yaxes(showticklabels=False)
fig.layout.xaxis.fixedrange = True
fig.layout.yaxis.fixedrange = True
fig.select_annotations

# Show the plot
fig.show()