import folium
from folium.features import CustomIcon
import pandas as pd

stars = {
'一つ星'        :'star1.png',
'二つ星'        :'star2.png',
'三つ星'        :'star3.png',
'ビブグルマン'  :'starbib.png'
}

def makeicon(icon_image):
    icon = CustomIcon(
    icon_image=icon_image,
    icon_size=(30, 30),
    icon_anchor=(30, 30),
    shadow_image='',
    shadow_size=(5, 5),
    shadow_anchor=(4, 4),
    popup_anchor=(-3, -3))
    return icon

def make_maker(r):
    tmp = folium.Marker(
        location = [r['longitude'],r['latitude']], 
        popup    = r['name'] + ' : ' + r['genre'],
        tooltip  = r['name'] + ' : ' + r['genre'] + ' : ' + r['address'].replace('東京都',''),
        icon     = makeicon(stars[r['star']]))
    return tmp

michelin_data = pd.read_table('michelin_data_2020.csv')

plot_map = folium.Map(location=[35.6725175,139.7210145] ,  zoom_start=12)

star1_group = folium.FeatureGroup(name="一つ星").add_to(plot_map)
star2_group = folium.FeatureGroup(name="二つ星").add_to(plot_map)
star3_group = folium.FeatureGroup(name="三つ星").add_to(plot_map)
bib_group   = folium.FeatureGroup(name="ビブグルマン").add_to(plot_map)

for i, r in michelin_data[michelin_data['star']=='一つ星'].iterrows():
    star1_group.add_child(make_maker(r))
for i, r in michelin_data[michelin_data['star']=='二つ星'].iterrows():
    star2_group.add_child(make_maker(r))
for i, r in michelin_data[michelin_data['star']=='三つ星'].iterrows():
    star3_group.add_child(make_maker(r))
for i, r in michelin_data[michelin_data['star']=='ビブグルマン'].iterrows():
    bib_group.add_child(make_maker(r))

folium.LayerControl().add_to(plot_map)
plot_map.save("mishelin_all_maps.html")

タグ ：

#Python

#可視化

#Folium

#ミシュラン

#グランメゾン東京

#三つ星

タグ ：

#Python

#プログラミング

#可視化

#食べログ

#分布

#食べログ分布

import numpy as np
import matplotlib.pyplot as plt
from ipywidgets import interact, FloatSlider, IntSlider,Select
%matplotlib inline

r = IntSlider(min=1, max=8, step=1, value=5)
t = FloatSlider(min=1.0, max=1.5, step=0.1, value=1.0)
c = Select(options=['black', 'red', 'blue','green'],
    value='black',description='coler : ',disabled=False)

@interact(r=r,t=t,c=c)
def plot_man(r,t,c):
    plt.figure(figsize=(10,9))
    plt.axes().set_aspect('equal', 'datalim')
    
    # circle 1
    x = [np.sin(np.radians(_x))*r for _x in np.linspace(-180,180,721)]
    y = [np.cos(np.radians(_y))*r*t for _y in np.linspace(-180,180,721)]
    plt.plot(x, y, c)
    
    # circle 2
    x2 = [i*0.7 for i in x]
    y2 = [i*0.7 for i in y]
    plt.plot(x2, y2, c)
    
    # line
    x3 = [0,0]
    y3 = [min(y)*1.25,max(y)*1.25]
    plt.plot(x3, y3, c)
    
    # lines
    x4 = [i*1.2 for i in x]
    y4 = [i*1.2 for i in y]
    for i in range(16):
        x5 = [x[i*45],x4[i*45]]
        y5 = [y[i*45],y4[i*45]]
        plt.plot(x5, y5, c)
    
    plt.xlim([-20,20])
    plt.ylim([-20,20])
    plt.show()

from PIL import Image, ImageDraw, ImageFont
import numpy as np
import matplotlib.pyplot as plt
from ipywidgets import interact, FloatSlider, IntSlider,Select
import os

data_dir = 'anzan_data/'
if not os.path.exists(data_dir):
    os.makedirs(data_dir)

for a in range(30):
    plt.figure(figsize=(3,3))
    plt.axes().set_aspect('equal', 'datalim')
    plt.tick_params(labelbottom=False,
                    labelleft=False,
                    labelright=False,
                    labeltop=False)
    plt.tick_params(bottom=False,
                    left=False,
                    right=False,
                    top=False)
    plt.xlim([-20,20])
    plt.ylim([-20,20])
    c ='black'
    n = (np.abs(np.sin(a))+1)
    # circle 1
    x = [np.sin(np.radians(_x))*8 for _x in np.linspace(-180,180,721)]
    y = [np.cos(np.radians(_y))*8*n for _y in np.linspace(-180,180,721)]
    plt.plot(x, y, c)

    # circle 2
    x2 = [i*0.7 for i in x]
    y2 = [i*0.7 for i in y]
    plt.plot(x2, y2, c)

    # line
    x3 = [0,0]
    y3 = [min(y)*1.25,max(y)*1.25]
    plt.plot(x3, y3, c)

    # lines
    x4 = [i*1.2 for i in x]
    y4 = [i*1.2 for i in y]
    for i in range(16):
        x5 = [x[i*45],x4[i*45]]
        y5 = [y[i*45],y4[i*45]]
        plt.plot(x5, y5, c)
    file_name = data_dir + 'tmp_{0:02}.png'.format(a)
    plt.savefig(file_name)

images = []
for a in range(30):
    file_name = data_dir + 'tmp_{0:02}.png'.format(a)
    img = Image.open(file_name)
    images.append(img)

gif_name = 'anzan.gif'
images[0].save(gif_name,save_all=True, append_images=images[1:], optimize=False, duration=2, loop=0)

タグ ：

#Python

#可視化

#プログラミング