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# 代替スクリプト改良版

# 文字コードをUTF-8に変換してソース取り込み
html = driver.page_source.encode('utf-8')

# BeautifulSoupでデータ抽出
soup = BeautifulSoup(html, "html.parser")

# soupから３番目のtableを抽出
table = soup.find_all("table",attrs={"cellspacing" : "1"})[2]
rows = table.findAll("tr")

list_rows = []
for row in rows:
    list_row = []
    for cell in row.findAll(['td', 'th']):
        text = cell.get_text()
        text2 = text.replace('"','').replace("\n","").replace(" ","").replace("　","")
        list_row.append(text2)
    list_rows.append(list_row)

# 2次元リストをヘッダとデータに分割
header = list_rows[0]
data = list_rows[1:]

# データフレームに変換
df = pd.DataFrame(data,columns = header)

# 代替スクリプト

# 文字コードをUTF-8に変換してソース取り込み
html = driver.page_source.encode('utf-8')

# BeautifulSoupでデータ抽出
soup = BeautifulSoup(html, "html.parser")

# soupから３番目のtableを抽出
table = soup.find_all("table",attrs={"cellspacing" : "1"})[2]
rows = table.findAll("tr")

filename = "table.csv"
with open(filename, "w", encoding='utf-8') as file:
    writer = csv.writer(file)
    for row in rows:
        csvRow = []
        for cell in row.findAll(['td', 'th']):
            text = cell.get_text()
            text2 = text.replace('"','').replace("\n","").replace(" ","").replace("　","")
            csvRow.append(text2)
        writer.writerow(csvRow)

# CSVファイルをデータフレームに変換
df = pd.read_csv(filename)

# 旧スクリプト

# 文字コードをUTF-8に変換してソース取り込み
html = driver.page_source.encode('utf-8')

# BeautifulSoupでデータ抽出
soup = BeautifulSoup(html, "html.parser")

# soupから３番目のtableを抽出
table_data = soup.find_all("table",attrs={"cellspacing" : "1"})
df_stock_specific = pd.read_html(str(table_data), header=0)[2]
labels_specific = ['A','B','C','D','E']
df_stock_specific2 = df_stock_specific.reindex(labels_specific, axis=1)

from pprint import pprint

def function():
    a = 1
    b = 100
    c = "Python"

    for i in range(10):
        print(i)
        print(locals())

    pprint(locals())

    pprint(globals())
    pprint(globals()['__file__'])

function()
--------------------------------------------------

出力
--------------------------------------------------
0
{'a': 1, 'b': 100, 'c': 'Python', 'i': 0}
1
{'a': 1, 'b': 100, 'c': 'Python', 'i': 1}
2
{'a': 1, 'b': 100, 'c': 'Python', 'i': 2}
3
{'a': 1, 'b': 100, 'c': 'Python', 'i': 3}
4
{'a': 1, 'b': 100, 'c': 'Python', 'i': 4}
5
{'a': 1, 'b': 100, 'c': 'Python', 'i': 5}
6
{'a': 1, 'b': 100, 'c': 'Python', 'i': 6}
7
{'a': 1, 'b': 100, 'c': 'Python', 'i': 7}
8
{'a': 1, 'b': 100, 'c': 'Python', 'i': 8}
9
{'a': 1, 'b': 100, 'c': 'Python', 'i': 9}
{'a': 1, 'b': 100, 'c': 'Python', 'i': 9}
{'__annotations__': {},
 '__builtins__': <module 'builtins' (built-in)>,
 '__cached__': None,
 '__doc__': None,
 '__file__': 'var_test.py',
 '__loader__': <_frozen_importlib_external.SourceFileLoader object at 0x104508ca0>,
 '__name__': '__main__',
 '__package__': None,
 '__spec__': None,
 'function': <function function at 0x104551f70>,
 'pprint': <module 'pprint' from '/Users/[ユーザー名]/.pyenv/versions/3.9.7/lib/python3.9/pprint.py'>}
'var_test.py'

# pyenv内miniforge環境 miniforge3-4.10.1-5の場合
/Users/[ユーザー名]/.pyenv/versions/miniforge3-4.10.1-5/bin/python [pyファイルのフルパス]

# miniforge内仮想環境 mini_3.10.0の場合
/Users/[ユーザー名]/miniforge3/envs/mini_3.10.0/bin/python [pyファイルのフルパス]

from my_library import moduleA
from os

# 実行スクリプト名の取得
source_file = str(os.path.basename(__file__))
print(f"source_file: {source_file}")

# moduleAに実行スクリプト名を渡す
moduleA.main(source_file)
--------------------------------------------------

出力
--------------------------------------------------
source_file: test.py

# 自作モジュールの一例
def main(file):
    if "test" in file:
        profit = ws.cell(column=5,row=maxrow -1).value
    else:
        profit = ws.cell(column=5,row=maxrow).value

pip install chromedriver-py==95.0.4638.17

# インストール先(pyenvの場合)
/Users/[ユーザ名]/.pyenv/versions/3.9.7/lib/python3.9/site-packages/chromedriver_py/chromedriver_mac64

# インストール可能なバージョン確認(わざとエラーにする方法)
pip install chromedriver-py==
--------------------------------------------------
出力
--------------------------------------------------
ERROR: Could not find a version that satisfies the requirement chromedriver-py== (from versions: 2.38, 2.45.2, 2.45.3, 2.46, 78.0.3904.11, 78.0.3904.70, 79.0.3945.16, 79.0.3945.36, 80.0.3987.16, 81.0.4044.20, 81.0.4044.69, 83.0.4103.14, 83.0.4103.39, 84.0.4147.30, 85.0.4183.38, 85.0.4183.83, 85.0.4183.87, 86.0.4240.22, 87.0.4280.20, 87.0.4280.88, 88.0.4324.27, 88.0.4324.96, 89.0.4389.23, 90.0.4430.24, 91.0.4472.19, 92.0.4515.43, 92.0.4515.107, 93.0.4577.15, 93.0.4577.63, 94.0.4606.41, 95.0.4638.10, 95.0.4638.17)

pip install pandas-1.3.4-cp310-cp310-macosx_11_0_arm64.whl
--------------------------------------------------

出力
--------------------------------------------------
Successfully installed numpy-1.21.3 pandas-1.3.4 python-dateutil-2.8.2 pytz-2021.3 six-1.16.0

import pandas as pd
import matplotlib.pyplot as plt
import datetime
 
df = pd.read_csv('tensorflow_macos_graph.csv',index_col=0,encoding = 'UTF8')

color_list = ['#1e90ff','#32cd32']
df.plot(kind='bar',color = color_list,figsize = (7,5),ylabel = 'Time(sec)',rot=0)
plt.suptitle('Keras Training Time', fontsize=18)

dt_now = datetime.datetime.now()
dt_now_str = dt_now.strftime('%y%m%d%H%M')

image ='{}_tensorflow_macos.png'.format(dt_now_str)

plt.savefig(image) 
plt.show()

,CPU,GPU
Intel Mac mini [Big Sur],61.5,172.1
M1 Mac mini [Monterey],39,194.9
M1 Mac mini [Big Sur],23.1,0