kotoripiyopiyo

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
tokyo_tower = Image.open("tokyo_tower.png")
tower_color = np.array(tokyo_tower)
rgbcolor = ["red", "green", "blue"]
rgb_list = [0] * 3
for i in range(3):
    rgb0, rgb1 = np.histogram(tower_color[:, :, i].flatten(), bins=256)

kotoripiyopiyo

from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline

#画像の読み込み
rocket_org = Image.open("H2A.jpg")

#画像をndarrayに変換
rocket_org_array = np.array(rocket_org)

kotoripiyopiyo

#ライブラリのインポートなど
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline

#画像の読み込み
rocket_org = Image.open("H2A.jpg")

#画像をndarrayに変換

kotoripiyopiyo

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
i=0
x=np.arange(1,11)
y=np.zeros(10)
while i <=9:
    y[i]=np.random.uniform(1,10)
    i +=1
plt.plot(x,y)

kotoripiyopiyo

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
tokyo_tower = Image.open("tokyo_tower.png")
tower_color = np.array(tokyo_tower)
hist_r, bins_r = np.histogram(tower_color[:, :, 0].flatten(), bins=256)
hist_g, bins_g = np.histogram(tower_color[:, :, 1].flatten(), bins=256)
hist_b, bins_b = np.histogram(tower_color[:, :, 2].flatten(), bins=256)
plt.figure(figsize=(10, 3))

kotoripiyopiyo

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
tokyo_tower = Image.open("tokyo_tower.png")
tower_color = np.array(tokyo_tower)
rgb = [0] * 6
j = 0
for i in range(0, 5, 2):
    rgb[i], rgb[i+1] = np.histogram(tower_color[:, :, j].flatten(), bins=256)

kotoripiyopiyo

#ライブラリ読み込み
import pandas as pd
import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
import japanize_matplotlib

#日付記述を日付データとしてcsv読み込む
covid_data = pd.read_csv("（都合によりURLのあちこちにスペース入ってるけど、使う時はスペース除いてください）https:// stopcovid19. metro. tokyo. lg. jp/ data/ 130001_tokyo_covid19_patients. csv", index_col="公表_年月日", parse_dates=True)

kotoripiyopiyo

###ライブラリ読み込み
import pandas as pd
import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
import japanize_matplotlib

###csv読み込む
covid_data = pd.read_csv("（都合によりURLのあちこちにスペース入ってるけど、使う時はスペース除いてください）https:// stopcovid19. metro. tokyo. lg. jp/ data/ 130001_tokyo_covid19_patients. csv", index_col="公表_年月日", parse_dates=True)

kotoripiyopiyo

#必要なライブラリのインポート
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
%matplotlib inline

#ファイル読み込み
df = pd.read_csv("downloaded_japan_population_utf8.csv")

kotoripiyopiyo

#ダメな例

h = 0
i = str(0)
j = 11
while j != 10:
    number = float(str(10.5) + (i * h) + str(1))
    rounding = round(number)
    print(str(number) + ' is ' + str(rounding))
    h += 1