gistfile1.txt

# import matplotlib.animation
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
import numpy as np
import json

plt.rcParams["animation.html"] = "jshtml"
plt.rcParams['figure.dpi'] = 150  
plt.ioff()
fig, ax = plt.subplots()

with open('ichiVault_27SnapshotTimeline.json', 'r') as file:
    data = json.load(file)
    numpy_array = np.array(data)
dataLength = len(numpy_array)

x= np.linspace(-30,30,60)
# Arbitrary decision: totalAmount of 2 positions 10 ticks wide is tall 10 units
def printLiquidity(lowerTick, upperTick, totalPositionAmount, totalAmounts, color):
    width = (upperTick - lowerTick)
    if (width == 0):
        return
        
    amountPerSquareUnit = totalAmounts / 100 # 10 ticks wide and 10 units tall
    height = totalPositionAmount / width / amountPerSquareUnit
    height = height if height > 0.2 else 0.2
    ax.add_patch(Rectangle((lowerTick, 0), width, height, facecolor = color))
    
def animate(t):
    data = numpy_array[t]    
    plt.cla()
    printLiquidity(int(data['baseLower']), int(data['baseUpper']), int(data['totalBaseAmount']), int(data['totalAmounts']), 'lightsteelblue')
    printLiquidity(int(data['limitLower']), int(data['limitUpper']), int(data['totalLimitAmount']), int(data['totalAmounts']), 'cornflowerblue')
    
    plt.plot()
    plt.xlim(-30,30)
    plt.ylim(0,10)


matplotlib.animation.FuncAnimation(fig, animate, frames=dataLength)