ステーションの地図表示

gistfile1.txt

import folium
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors

# 利用回数に応じた色の設定
def get_color(usage, max_usage):
    norm = plt.Normalize(aggregated_data['Total Usage'].min(), max_usage)
    cmap = plt.cm.Reds #Reds
    rgb = cmap(norm(usage))[:3]
    return mcolors.rgb2hex(rgb)

# 最大利用回数を持つステーションの平均緯度・経度を取得
max_usage = aggregated_data['Total Usage'].max()
max_usage_lat = aggregated_data.loc[aggregated_data['Total Usage'].idxmax(), 'Average Latitude']
max_usage_lng = aggregated_data.loc[aggregated_data['Total Usage'].idxmax(), 'Average Longitude']

# 地図の初期化
m = folium.Map(location=[max_usage_lat, max_usage_lng], zoom_start=12)

# 各ステーションのマーカーを追加
for idx, row in aggregated_data.iterrows():
    color = get_color(row['Total Usage'], max_usage)
    folium.CircleMarker(
        location=[row['Average Latitude'], row['Average Longitude']],
        radius=5,  # 固定サイズ
        popup=f'{idx}<br>Usage: {row["Total Usage"]}',
        color=color,
        fill=True,
        fill_color=color
    ).add_to(m)

# 地図を表示
m