hamaguchi-amago

def add(a, b):
    return a + b

# see: https://peps.python.org/pep-0008/#programming-recommendations
add_lambda = lambda a, b: a + b


if __name__ == '__main__':
    print(add(1, 2))
    print(add_lambda(1, 2))

hamaguchi-amago

import python_const_0 as Pt

Pt.MAX_TIME = 10
Pt.METHOD = "GET"

def main():
    print(Pt.MAX_TIME)
    print(Pt.METHOD)

    # 代入できない

hamaguchi-amago

MAX_TIME = 10

def main():
    # グローバル変数
    global MAX_TIME
    print(MAX_TIME)

    # 書き換えられてしまう
    MAX_TIME = 20
    print(MAX_TIME)

hamaguchi-amago

import math

print(math.pi)

# 上書き
math.pi = 10
print(math.pi)

hamaguchi-amago

"""
Constant types in Python.

e.g., http://code.activestate.com/recipes/414140-constant-types-in-python/
"""

import sys

class _const:
    class ConstError(TypeError):

hamaguchi-amago

import pandas as pd

# 都道府県名をindexとして読み込む
# [m]単位の人口を追加する
df = pd.read_csv("data.csv", index_col=0)
series_pop_million = df["population"].map(lambda x: x / 100)
series_pop_million.name = "population[m]"
df = pd.concat([df, series_pop_million], axis=1)

# 面積

hamaguchi-amago

import pandas as pd

# 都道府県名をindexとして読み込む
# [m]単位の人口を追加する
df = pd.read_csv("data.csv", index_col=0)
series_pop_million = df["population"].map(lambda x: x / 100)
series_pop_million.name = "population[m]"
df = pd.concat([df, series_pop_million], axis=1)

# 北海道

hamaguchi-amago

import pandas as pd
from pandas_profiling import ProfileReport

# データを読み込む
df = pd.read_csv("data.tsv", index_col=0, delimiter="\t",
                 names=["setai", "p", "pm", "pf"])

# レポートを作成する
profile = ProfileReport(df, title="23 Wards of Tokyo")
profile.to_file(output_file="profile.html")

hamaguchi-amago

import glob
import os.path

# sub かつ txt
print("[1]")
for filename in glob.glob("working/**/sub*/**", recursive=True):
    if filename.endswith(".txt"):
        print(filename)
print()

hamaguchi-amago

import glob

# * の場合

print(glob.glob("working/*"))
print(glob.glob("working/*", recursive=True))

# ** の場合

print(glob.glob("working/**"))