Volume and Price of BtcTurk USDT Pairs (Log Scale)

Volume and Price of BtcTurk USDT Pairs (Log Scale).py

import requests
import matplotlib.pyplot as plt

# Fetch Data
response = requests.get("https://api.btcturk.com/api/v2/ticker")
data = response.json()
#Gets snapshot information about the last trade (tick), best bid/ask and 24h volume.

# Parse Data for USDT pairs only, excluding USDTTRY
pairs_data = [
    (item['pair'], float(item['last']), float(item['volume']))
    for item in data['data']
    if 'USDT' in item['pair'] and item['pair'] != 'USDTTRY'
]

# Sort the pairs by volume in descending order
pairs_data.sort(key=lambda x: x[2], reverse=True)

# Unpack the sorted data
pair_names, prices, volumes = zip(*pairs_data)

# Visualization with a Bar Chart and a log scale
indices = range(len(prices))

fig, ax1 = plt.subplots(figsize=(20, 10))

color = 'tab:red'
ax1.set_xlabel('Pair')
ax1.set_ylabel('Volume (log scale)', color=color)
ax1.bar(indices, volumes, color=color, alpha=0.6, label='Volume')
ax1.set_yscale('log')  # Log scale for volume
ax1.tick_params(axis='y', labelcolor=color)
ax1.set_xticks(indices)
ax1.set_xticklabels(pair_names, rotation=90, ha="center")
ax1.tick_params(axis='x', which='major', labelsize=9)

# Twin axes for price
ax2 = ax1.twinx()  
color = 'tab:blue'
ax2.set_ylabel('Price (log scale)', color=color)
ax2.plot(indices, prices, color=color, marker='o', linestyle='None')
ax2.set_yscale('log')  # Log scale for price
ax2.tick_params(axis='y', labelcolor=color)

fig.tight_layout()  
plt.title('Volume and Price of BtcTurk USDT Pairs (Log Scale, ordered by Volume)')
plt.show()