【folium】渋谷事変の時系列位置情報を可視化してみた（呪術廻戦）

import folium
from folium import plugins
from datetime import timedelta
import datetime
from folium.features import CustomIcon
from IPython.display import Image
import pandas as pd

#ベースとなるマップを作成する関数
def base_map():
   map = folium.Map(
      [35.66256010486336, 139.7016042283173],
      tiles="Stamen Terrain",
      zoom_start=16
   )
   return map


#帳と伏魔御厨子の範囲を表示する関数
def tobari(map,start,end):
   #帳（一般人閉じ込める）
   if start >= datetime.datetime(2018, 10, 31, 19, 0, 0, 0):
      folium.Circle(location = [35.659034, 139.701636],radius = 400,color = "red",fill = True ).add_to(map)
   #帳（術師入れない）
   if start >= datetime.datetime(2018, 10, 31, 20, 35, 0, 0) and end <= datetime.datetime(2018, 10, 31, 22, 10, 0, 0):
      folium.Circle(location = [35.659034, 139.701636],radius = 350,color = "blue",fill = True ).add_to(map)
   #帳（五条さん閉じ込める）
   if start >= datetime.datetime(2018, 10, 31, 20, 40, 0, 0):
      folium.Circle(location = [35.65961246, 139.7036947],radius = 90,color = "yellow",fill = True ).add_to(map)
   #帳（一般人閉じ込める）
   folium.Circle(location = [35.65961246, 139.7036947],radius = 60,color = "red",fill = True ).add_to(map)
   #伏魔御厨子
   if start >= datetime.datetime(2018, 10, 31, 23, 5, 0, 0) and end <= datetime.datetime(2018, 10, 31, 23, 10, 0, 0):
      folium.Circle(location = [35.66109599528823, 139.6987660100766],radius = 140,color = "black",fill = True ).add_to(map)


#アイコンを作成する関数
def get_image(img_name='default.png'):
   icon = CustomIcon(
      icon_image = img_name,
      icon_size = (55, 65),
      icon_anchor = (30, 30),
      popup_anchor = (3, 3)
   )
   return icon


#マップを保存する関数
def save_map(map,map_file="default"):
   map_file = map_file + ".html"
   map.save(map_file)

#アイコンを表示する関数
def character_view(map,img_name,icon_latlon,popup):
   icon = get_image(img_name)
   folium.Marker(location = icon_latlon,icon = icon,popup=popup).add_to(map)

#特定時間帯のマップを作成し保存する関数
def specific_map_view(data,map,start,end,span):
   forcus_time_st = start
   forcus_time_ed = start + span
   k = 1
   while True:
      forcus_data = data[data['time'] < forcus_time_ed]
      forcus_data = forcus_data[forcus_data['time'] >= forcus_time_st]
      tobari(map,forcus_time_st,forcus_time_ed)
      for i in range(len(forcus_data)):
         img_name = "./pic/" + str(forcus_data[i:i+1]["name"].values[0]) + ".png"
         icon_latlon = forcus_data[i:i+1][["lat_2","lon_2"]].values.reshape(-1).tolist()
         character_view(map,img_name,icon_latlon,forcus_data[i:i+1]["name"].values[0]) 

      if forcus_time_st.minute <=9:
         save_map(map,map_file="./pic/jujutu/default_"+str(forcus_time_st.hour)+"_0"+str(forcus_time_st.minute))
      else:
         save_map(map,map_file="./pic/jujutu/default_"+str(forcus_time_st.hour)+"_"+str(forcus_time_st.minute)) 

   forcus_time_st = forcus_time_ed
   forcus_time_ed = forcus_time_ed + span
   map = base_map()
   k += 1

   if forcus_time_ed > end:
      break


if __name__ == '__main__':
   try:
      latlon = pd.read_excel(
         './jujutu/jujutu.xlsx',
         header=0,
         index_col=None,
         engine='openpyxl'
      ) #engine='openpyxl'がないとエラーが出る
 latlon['time'] = pd.to_datetime(latlon['time'], format="%Y/%m/%d,%H:%M:%S") map = base_map() start = datetime.datetime(2018, 10, 31, 20, 0, 0, 0) #開始時間を指定する必要あり end = datetime.datetime(2018, 10, 31, 20, 10, 0, 0) #終了時間を指定する必要あり span = datetime.timedelta(minutes=10) #時刻の間隔を指定する必要あり specific_map_view(latlon,map,start,end,span) except Exception as e: print(e)

import os
import glob
from selenium import webdriver
from datetime import date
import datetime
import time


save_img_path = "./pic/jujutu_png/"

files = glob.glob("./pic/jujutu/*") 
driver_path = "./chromedriver.exe"
delay=5

#一つずつhtmlファイルのスクリーンショットを取る
for file in files:
   file = file[13:] #./pic/jujutu/部分を削除
   tmpurl='file://{path}/pic/jujutu/{mapfile}'.format(path=os.getcwd(),mapfile=file)

   driver = webdriver.Chrome(driver_path)
   driver.get(tmpurl)
   time.sleep(delay)


   save = str(save_img_path) + str(file[:-5]) + ".png" #スクリーンショットをpngファイルとして保存
   driver.save_screenshot(save)
   driver.quit()

from PIL import Image, ImageDraw, ImageFont
from datetime import datetime, date, timedelta
import glob
import pandas as pd


im = []
files = glob.glob("./pic/jujutu_png/*")

latlon = pd.read_excel('./jujutu/jujutu.xlsx', header=0, index_col=None,engine='openpyxl')
latlon['time'] = pd.to_datetime(latlon['time'], format="%Y/%m/%d,%H:%M:%S")

year_text = latlon['time'][0].year
month_text = latlon['time'][0].month
day_text = latlon['time'][0].day

#pngファイルを繋ぎ合わせてGIFを作成
for i in range(len(files)):
   img = Image.open(files[i])
   draw = ImageDraw.Draw(img)
   font = ImageFont.truetype("FontsFree-Net-arial-bold.ttf", 70)
   filename = files[i][17:]
   text = str(year_text)+"/"+str(month_text)+"/"+str(day_text)+" "+str(filename[8:10])+":"+str(filename[11:13])
   draw.text((30, 30),str(text),font=font,fill=(0,0,0))
   im.append(img)

im[0].save(
   './pic/jujutu_png/jujutu.gif',
   save_all=True,
   append_images=im[1:],
   optimize=False,
   duration=1500,
   loop=0
)