import cv2

# Load an color image
img_orig = cv2.imread(fname, cv2.IMREAD_UNCHANGED)
img = cv2.cvtColor(img_orig, cv2.COLOR_BGR2RGB)
height, width, _ = img.shape

HSV_lower=[21, 67, 230]
HSV_upper=[164, 210, 254]

# HSVでの色抽出
hsvLower = np.array(HSV_lower) # 抽出する色の下限(HSV)
hsvUpper = np.array(HSV_upper) # 抽出する色の上限(HSV)

hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # 画像をHSVに変換
hsv_mask = cv2.inRange(hsv, hsvLower, hsvUpper) # HSVからマスクを作成
hsv_img = cv2.bitwise_and(img, img, mask=hsv_mask) # 元画像とマスクを合成

plt.figure(figsize = (12, 12))
plt.imshow(hsv_img, cmap = 'gray', interpolation = 'bicubic')
plt.xticks([]), plt.yticks([]) # to hide tick values on X and Y axis
plt.show()

# save fig as png
fname="hoge1.png"
cv2.imwrite(fname, hsv_img)

for key in hoge.keys():
　print(key)

for val in hoge.values():
　print(val)

% import os
% hostname = os.uname()[1]
'hoge-MacBook-pro-6.local'

import numpy as np

# これでaaa.npyとして保存される
np.save('hoge', aaa)

# 読み込む時は
bbb = np.load('hoge.npy')

import argparse

parser = argparse.ArgumentParser(prog="hoge.py", description="do hogehoge")
parser.add_argument('-i', '--configuration', required = True, choices = configurations, help = 'name of configuration')
parser.add_argument('-o', '--output', required = True, type=str, nargs='+', help = 'name of output')
parser.add_argument('-c', '--flag_do_something', action='store_true', help = 'flag to do something')

args = parser.parse_args()
output = args.output
configuration = args.configuration
flag_do_something = args.flag_do_something

--output A B C

--output A, B, C

M-x byte-compile-file

import matplotlib.colors as mcolors
import matplotlib.pyplot as plt
plt.plot(x, y, color=mcolors.CSS4_COLORS["skyblue"])

function initializeForm(){
// initialize
document.getElementById("aaaaa").value = ""
}

d1 = {'one':1, 'two':2}
d2 = {'two':'ii', 'three':'iii'}
d3 = {'three':'III', 'four':'IV'}
d4 = {**d1, **d2, **d3}

plt.plot(x, y, label="hoge")
plt.legend(loc="upper right")

plt.legend(loc='upper left', bbox_to_anchor=(1.0255, 1.0255))
plt.savefig('hoge.png', bbox_inches='tight')

plt.yticks( 10**np.arange(np.floor(np.log10(ymin)), int(np.log10(ymax))+1, 1) )

<iframe name="read_iframe" id="read_iframe" src="read_iframe.html" width="1400" height="800"></iframe>

<input type="button" value="reload table" onclick="frames['read_iframe'].location.reload();">

function isChecked1(n) {
if (document.getElementById(n).checked) {
　parent.document.getElementById("list_reference").value = parent.document.getElementById("list_reference").value + n + ' ';
} else{
　parent.document.getElementById("list_reference").value = parent.document.getElementById("list_reference").value.replace(n + ' ', '');
　}
}

$latex = 'uplatex';
$bibtex = 'upbibtex';
$dvipdf = 'dvipdfmx %O -o %D %S';
$makeindex = 'mendex -U %O -o %D %S';
$pdf_mode = 3;

\documentclass[dviout]{xxxxx}

\documentclass[dvipdfmx
]{xxxxx}

import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(111)

ax.plot(range(10))
ax.set_xlabel('X-axis')
ax.set_ylabel('Y-axis', color="red")

ax.tick_params(axis='y', colors='red')
plt.show()

find /home/hoge/Dropbox -name "*.xml"

find /home/hoge/Dropbox -name "*.xml" -print0 | xargs -0 ls -1t

readlink -f [シンボリックリンク]

hoge[(1 <= hoge) & (hoge <= 10)]