Help us understand the problem. What is going on with this article?

# 回帰分析を行う際の曜日と休日のダミー変数

More than 1 year has passed since last update.

```import numpy as np
import pandas as df
import sys
from datetime import *
from time import *
import csv

# 祝日のデータを読み込む
def import_Pholiday():
get_data = []

#祝日データ読み込み先のパス
path = './import_data/holiday_data.csv'
with open(path,'r',encoding="utf-8_sig") as f:
get_data.append(row)

return get_data

# csv出力先
def write_csv(data):
# ソースと同じディレクトリにsome.csvとして書き出す
with open('some.csv', 'w') as f:
writer = csv.writer(f, lineterminator='\n')
for i in range(0,len(data)):
writer.writerow(data[i])

def main():
#作成するトレンド日数
trendDay = 1860

# [日付,月,火,水,木,金,土,日,祝日,祝日の名前,休]
trend = [[]]
arr = ["日付","月","火","水","木","金","土","日","祝日","祝日の名前","休日","年末年始"]

# 今日の日付を選択
day_now = datetime.today()

ph_day = import_Pholiday()

for i in range(len(ph_day)):
ph_day[i][1] = datetime.strptime(ph_day[i][1], '%Y/%m/%d')
ph_day[i][1] = datetime.strftime(ph_day[i][1], '%Y%m%d')

# 日付のフォーマット型を整形
first_day = day_now.replace(day=1)
day = datetime.strftime(first_day, '%Y%m%d')
print(day)

trend[0] =arr

# 各日にちのトレンドデータを作成
for i in range(0,trendDay):
trend.append([0]*12)
first_day = first_day - timedelta(days=1)
day = datetime.strftime(first_day, '%Y%m%d')
trend[i][0] = day

if first_day.weekday() == 0:
trend[i][1] = 1
elif first_day.weekday() == 1:
trend[i][2] = 1
elif first_day.weekday() == 2:
trend[i][3] = 1
elif first_day.weekday() == 3:
trend[i][4] = 1
elif first_day.weekday() == 4:
trend[i][5] = 1
elif first_day.weekday() == 5:
trend[i][6] = 1
elif first_day.weekday() == 6:
trend[i][7] = 1

if str(day) in str(ph_day):
trend[i][8] = 1
for j in range(len(ph_day)):
if str(day) == str(ph_day[j][1]):
trend[i][9] = str(ph_day[j][3])

if str(trend[i][0]).endswith('1231') or str(trend[i][0]).endswith('1231') or str(trend[i][0]).endswith('0101') or str(trend[i][0]).endswith('0102') or str(trend[i][0]).endswith('0103'):
trend[i][11] = 1

if trend[i][6] == 1 or trend[i][7] == 1 or trend[i][8] == 1 or trend[i][11]:
trend[i][10] = 1

#print(trend[i])

#print(trend[0])
#print(trend[1])
write_csv(trend)

if __name__ == '__main__':
main()
```

githubに作成したcsvなども置いてあります。
https://github.com/Baya-Non/-Linear_regression_trend

https://misoton.booth.pm/
Why not register and get more from Qiita?
1. We will deliver articles that match you
By following users and tags, you can catch up information on technical fields that you are interested in as a whole
2. you can read useful information later efficiently
By "stocking" the articles you like, you can search right away