def createElementDiv(name):
element = document.createElement('div')
element.id = name
document.body.append(element)
return Element(name)
import pandas as pd
from pyodide.http import open_url
import seaborn as sns
import numpy as np
# 판다스에서 csv 를 데이터 프레임으로 읽어옴
df = pd.read_csv(open_url(
"http://dreamplan7.cafe24.com/pyscript/csv/avocado.csv"
))
df.insert(2, 'month', df['Date'].str[:7], True)
df.insert(5, 'Volume2',
df['Total Volume']/10000,
True)
createElementDiv('output1').write(df)
# 월별 매출량 조사
df_group = df.fillna(0) \
.groupby('month')[['Volume2']] \
.sum() \
.sort_values(
by='month',
ascending=True
)
createElementDiv('output1').write(df_group)
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
NanumMyengjo = fm.FontProperties(
fname='./NANUMMYEONGJO.TTF'
)
NanumMyengjoBold = fm.FontProperties(
fname='./NANUMMYEONGJOBOLD.TTF'
)
fig = plt.figure(
figsize=(15, 9)
)
plt.title('월별 아보카도 매출량',
fontproperties=NanumMyengjoBold,
fontsize=32
);
plt.xticks(rotation=45)
# 눈금 표시 리미트
plt.ylim(25000, 60000)
# 눈금단위 : 25,000 ~ 60,000 까지 5,000 단위
plt.yticks(np.arange(25000, 60000, 5000))
# 막대 그래프
plt.bar(
df_group.index.to_list(),
df_group['Volume2'].to_list(),
color=sns.color_palette(
'rainbow_r',
12
),
edgecolor='black'
)
plt.xlabel('연도/월',
fontproperties=NanumMyengjo,
fontsize=16
)
plt.ylabel('매출량(단위:만)',
fontproperties=NanumMyengjo,
fontsize=16
)
plt.grid()
ax = plt.gca()
ax.set_facecolor('#e8e7d2')
fig