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File:HF Payout.png: Difference between revisions

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Noted that this is the old graph, linked to up to date graphs
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[[Category:Game mechanics]]
[[Category:Game mechanics]]
[[Category:Homefront Operations]]
 
[[Category:Homefronts]]

Latest revision as of 09:22, 24 August 2025

Summary

This is the old (now outdated) payout curve. As of 2025.08.24, the up to date graphs can be found here:

This file was produced by the following Python code:

import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter

# Data points
player_count = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
isk_payout = [6000000, 7800000, 10140000, 13182000, 17136600, 11424400, 7616266, 5077511, 3385007, 2256671]

# Formatter function for y-axis
def millions(x, pos):
    return f'{int(x):,}'

# Create the plot
plt.figure(figsize=(10, 6))
plt.plot(player_count, isk_payout, marker='o', linestyle='-', color='b')

# Add labels and title
plt.xlabel('Player Count')
plt.ylabel('ISK Payout')
plt.title('Homefront Operation\nGroup Reward - Per Player Payout')

# Set the ticks
plt.xticks(range(11))  # X-axis: 0 to 10
plt.yticks([0, 5000000, 10000000, 15000000])  # Y-axis: 0, 5000000, 10000000, 15000000

# Apply the formatter to the y-axis
plt.gca().yaxis.set_major_formatter(FuncFormatter(millions))

# Add grid
plt.grid(True)

# Add data labels
for i, txt in enumerate(isk_payout):
    plt.annotate(f'{txt:,}', (player_count[i], isk_payout[i]), textcoords="offset points", xytext=(0,5), ha='center')

# Show the plot
plt.show()

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current08:10, 13 June 2024Thumbnail for version as of 08:10, 13 June 20241,838 × 1,151 (142 KB)Mednik Breau (talk | contribs)This file was produced by the following code: <code><nowiki> import matplotlib.pyplot as plt from matplotlib.ticker import FuncFormatter # Data points player_count = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] isk_payout = [6000000, 7800000, 10140000, 13182000, 17136600, 11424400, 7616266, 5077511, 3385007, 2256671] # Formatter function for y-axis def millions(x, pos): return f'{int(x):,}' # Create the plot plt.figure(figsize=(10, 6)) plt.plot(player_count, isk_payout, marker='o', linestyle='-', c...

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