Python -Animations -Timing funktioniert nicht richtig ⇐ Python

[Anonymous]

Ich habe kürzlich Python von Grund auf mit Python bestritten. Ich versuche, ein Piktogramm-Balkendiagramm zu bauen, in dem in jeder Balken jede Reihe nacheinander erscheint. und dann erscheint jede Balken nacheinander. Ich habe einen Code geschrieben, den ich zu 100%sicher ist.

Code: Select all

    import matplotlib

matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib.offsetbox import OffsetImage, AnnotationBbox
import numpy as np

# ========== CONFIGURATION ==========
ICON_PATH = 'dot.png'  # Replace with your PNG
ZOOM = 0.4  # Increased zoom for visibility
BAR_SPACING = 0.15  # Wider spacing between bars
ICON_SPACING_X = 0.02  # More horizontal space between icons
ICON_SPACING_Y = 0.02  # More vertical space between rows
LABEL_Y_OFFSET = 0 # Labels placed lower

BARS = [
{"total": 5 * 10, "label": "2000"},
{"total": 5 * 25, "label": "2005"},
{"total": 5 * 36 + 4, "label": "2010"},
{"total": 5 * 48 + 2, "label": "2015"},
{"total": 5 * 58 + 2, "label": "2020"},
{"total": 5 * 60, "label": "2024"},
]

COLUMNS_PER_BAR = 5
ROW_INTERVAL_MS = 50  # Affects all bars now
BAR_DELAY_MS = 200  # Delay between bars (now respects ROW_INTERVAL_MS)
# ===================================

# Load icon (ensure it's a high-resolution PNG/SVG)
icon = plt.imread(ICON_PATH)

# Precompute bar data
max_rows = 0
for idx, bar in enumerate(BARS):
full_rows, remainder = divmod(bar["total"], COLUMNS_PER_BAR)
bar["full_rows"] = full_rows
bar["remainder"] = remainder
bar["total_rows"] = full_rows + (1 if remainder else 0)
bar["x_pos"] = 0.1+idx * BAR_SPACING
max_rows = max(max_rows, bar["total_rows"])

# Set up figure with expanded limits
fig, ax = plt.subplots(figsize=((len(BARS)) * BAR_SPACING+3, 12))  # Larger figure size
ax.set_xlim(-0.5, (len(BARS)) * BAR_SPACING)
ax.set_ylim(LABEL_Y_OFFSET - 2, max_rows * ICON_SPACING_Y + 2)
ax.axis('off')

def add_icon(x, y, ax):
img = OffsetImage(icon, zoom=ZOOM)  # Increased zoom
ab = AnnotationBbox(img, (x, y), frameon=False)
ax.add_artist(ab)
return ab

def animate(frame_data):
ax.clear()
ax.axis('off')
current_bar_idx, current_row = frame_data

for bar_idx, bar in enumerate(BARS[:current_bar_idx + 1]):
# Draw up to current_row for the current bar
if bar_idx < current_bar_idx:
rows_to_draw = bar["total_rows"]
else:
rows_to_draw = current_row + 1

for row in range(rows_to_draw):
cols = COLUMNS_PER_BAR if row < bar["full_rows"] else bar["remainder"]
for col in range(cols):
x = bar["x_pos"] + col * ICON_SPACING_X
y = 0.1+row * ICON_SPACING_Y
add_icon(x, y, ax)

# Add label
ax.text(
bar["x_pos"] + (COLUMNS_PER_BAR * ICON_SPACING_X) / 2,
LABEL_Y_OFFSET,
bar["label"],
ha='center',
va='top',
fontsize=14,
weight='bold'
)

return ax.artists

# Generate frames with correct timing for all bars
frames = []
for bar_idx, bar in enumerate(BARS):
# Add frames for each row in this bar
for row in range(bar["total_rows"]):
frames.append((bar_idx, row))
# Add delay between bars using empty frames
if bar_idx != len(BARS) - 1:
delay_frames = int(BAR_DELAY_MS / ROW_INTERVAL_MS)
for _ in range(delay_frames):
frames.append((bar_idx, bar["total_rows"] - 1))  # Hold last frame

# Create animation
ani = animation.FuncAnimation(
fig,
animate,
frames=frames,
interval=ROW_INTERVAL_MS,
blit=True
)

plt.show()
# ani.save('animation.gif', writer='pillow', fps=1000/ROW_INTERVAL_MS)