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令和6年11月21日 (木)
⇒#13@グラフ;

📈 ZnOのみのESRスペクトル

13_ZnOのみのESRスペクトル
👨‍🏫 0
import numpy as np
import matplotlib.pyplot as plt

#fig, ax = plt.subplots(figsize=(2.9, 2.1)) 
fig, ax = plt.subplots()

#----------------
#_📈_13_ZnOのみのESRスペクトル
xy_13 = [(21,45831) \
, (21.005,45639) \
, (21.01,45351) \
, (21.015,45367) \
, (21.02,45559) \
, (21.025,45639) \
, (21.03,45799) \
, (21.035,45943) \
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, (21.045,45623) \
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, (21.23,45399) \
, (21.235,45463) \
, (21.24,45511) \
, (21.245,45687) \
, (21.25,45671) \
, (21.255,45591) \
, (21.26,45431) \
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, (21.62,45367) \
, (21.625,45527) \
, (21.63,45671) \
, (21.635,45671) \
, (21.64,45527) \
, (21.645,45351) \
, (21.65,45479) \
, (21.655,45495) \
, (21.66,45559) \
, (21.665,45671) \
, (21.67,45655) \
, (21.675,45559) \
, (21.68,45623) \
, (21.685,45623) \
, (21.69,45463) \
, (21.695,45527) \
, (21.7,45703) \
, (21.705,45863) \
, (21.71,45783) \
, (21.715,45479) \
, (21.72,45271) \
, (21.725,45271) \
, (21.73,45415) \
, (21.735,45591) \
, (21.74,45575) \
, (21.745,45495) \
, (21.75,45575) \
, (21.755,45751) \
, (21.76,45719) \
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, (21.775,45783) \
, (21.78,45575) \
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, (21.81,45975) \
, (21.815,45943) \
, (21.82,45799) \
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, (22.05,45239) \
, (22.055,45287) \
, (22.06,45383) \
, (22.065,45431) \
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, (22.075,45751) \
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, (22.085,45783) \
, (22.09,45383) \
, (22.095,45335) \
, (22.1,45463) \
, (22.105,45607) \
, (22.11,45671) \
, (22.115,45575) \
, (22.12,45479) \
, (22.125,45543) \
, (22.13,45655) \
, (22.135,45559) \
, (22.14,45399) \
, (22.145,45367) \
, (22.15,45463) \
, (22.155,45431) \
, (22.16,45303) \
, (22.165,45287) \
, (22.17,45287) \
, (22.175,45271) \
, (22.18,45495) \
, (22.185,45703) \
, (22.19,45783) \
, (22.195,45671) \
, (22.2,45431) \
, (22.205,45271) \
, (22.21,45351) \
, (22.215,45479) \
, (22.22,45527) \
, (22.225,45495) \
, (22.23,45479) \
, (22.235,45543) \
, (22.24,45655) \
, (22.245,45639) \
, (22.25,45431) \
, (22.255,45431) \
, (22.26,45479) \
, (22.265,45495) \
, (22.27,45447) \
, (22.275,45431) \
]
z_13 = [list(t) for t in zip(*xy_13)]; x_13 = z_13[0]; y_13 = z_13[1]

ax.scatter(x_13, y_13)
ax.plot(x_13, y_13)
ax.annotate('ID=13' \
, xy=(np.mean(x_13),np.mean(y_13)) \
, xytext=(np.mean(x_13)+ np.std(y_13), np.mean(y_13) + np.std(y_13)) \
, arrowprops=dict(arrowstyle="->"))
#----------------

plt.show()
  1 python コード

A4 (210 × 297mm)あるいは少し大きめのレターサイズ(215.9 × 279.4ミリ)が一般的です。 2 カラムとすると 3.34645669291339インチ程度。 アスペクトを 4:3にすれば、2.9インチ×2.1インチぐらいの図が論文投稿の図として適切です。


サーバーサイドスクリプト

  2 ZnOのみのESRスペクトル

サーバーサイドでラスタライズ(bmp,jpg,png)しているので、レスポンシブな表示が可能です。 サーバーサイドでダイナミックに生成している画像なので、ダウンロードだけでなく、リンクもできます。


クライアントサイドスクリプト

  3 canvas ZnOのみのESRスペクトル

クライアントサイドでラスタライズ(bmp,jpg,png)しているので、レスポンシブな表示が可能です。 クライアントサイドでダイナミックに生成している画像なので、ダウンロードはできますが、リンクはできません。


  4 google chart APIを使った描画

  5 ZnOのみのESRスペクトル

xmin21
xmax26
ymin40000
ymax52000
21,45831 21.005,45639 21.01,45351 21.015,45367 21.02,45559 21.025,45639 21.03,45799 21.035,45943 21.04,45655 21.045,45623 21.05,45703 21.055,45831 21.06,45751 21.065,45527 21.07,45655 21.075,45831 21.08,45543 21.085,45639 21.09,45895 21.095,45815 21.1,45559 21.105,45431 21.11,45431 21.115,45703 21.12,45783 21.125,45767 21.13,45735 21.135,45687 21.14,45511 21.145,45463 21.15,45751 21.155,45783 21.16,45655 21.165,45527 21.17,45559 21.175,45463 21.18,45431 21.185,45591 21.19,45751 21.195,45751 21.2,45639 21.205,45463 21.21,45623 21.215,45591 21.22,45383 21.225,45271 21.23,45399 21.235,45463 21.24,45511 21.245,45687 21.25,45671 21.255,45591 21.26,45431 21.265,45383 21.27,45543 21.275,45591 21.28,45559 21.285,45543 21.29,45495 21.295,45591 21.3,45559 21.305,45447 21.31,45479 21.315,45607 21.32,45575 21.325,45607 21.33,45511 21.335,45479 21.34,45399 21.345,45303 21.35,45207 21.355,45207 21.36,45479 21.365,45607 21.37,45655 21.375,45543 21.38,45495 21.385,45543 21.39,45575 21.395,45543 21.4,45495 21.405,45463 21.41,45495 21.415,45511 21.42,45495 21.425,45447 21.43,45431 21.435,45463 21.44,45463 21.445,45383 21.45,45415 21.455,45511 21.46,45591 21.465,45591 21.47,45559 21.475,45591 21.48,45607 21.485,45511 21.49,45591 21.495,45543 21.5,45543 21.505,45623 21.51,45687 21.515,45687 21.52,45687 21.525,45623 21.53,45527 21.535,45511 21.54,45399 21.545,45239 21.55,45175 21.555,45175 21.56,45127 21.565,45207 21.57,45431 21.575,45591 21.58,45607 21.585,45527 21.59,45415 21.595,45351 21.6,45399 21.605,45495 21.61,45495 21.615,45351 21.62,45367 21.625,45527 21.63,45671 21.635,45671 21.64,45527 21.645,45351 21.65,45479 21.655,45495 21.66,45559 21.665,45671 21.67,45655 21.675,45559 21.68,45623 21.685,45623 21.69,45463 21.695,45527 21.7,45703 21.705,45863 21.71,45783 21.715,45479 21.72,45271 21.725,45271 21.73,45415 21.735,45591 21.74,45575 21.745,45495 21.75,45575 21.755,45751 21.76,45719 21.765,45591 21.77,45719 21.775,45783 21.78,45575 21.785,45495 21.79,45527 21.795,45479 21.8,45463 21.805,45671 21.81,45975 21.815,45943 21.82,45799 21.825,45719 21.83,45719 21.835,45735 21.84,45623 21.845,45495 21.85,45527 21.855,45751 21.86,45863 21.865,45799 21.87,45703 21.875,45639 21.88,45639 21.885,45799 21.89,45719 21.895,45495 21.9,45431 21.905,45463 21.91,45479 21.915,45463 21.92,45463 21.925,45495 21.93,45543 21.935,45511 21.94,45671 21.945,45719 21.95,45639 21.955,45575 21.96,45607 21.965,45671 21.97,45511 21.975,45335 21.98,45479 21.985,45559 21.99,45495 21.995,45415 22,45431 22.005,45543 22.01,45783 22.015,45863 22.02,45687 22.025,45463 22.03,45367 22.035,45367 22.04,45367 22.045,45367 22.05,45239 22.055,45287 22.06,45383 22.065,45431 22.07,45591 22.075,45751 22.08,45831 22.085,45783 22.09,45383 22.095,45335 22.1,45463 22.105,45607 22.11,45671 22.115,45575 22.12,45479 22.125,45543 22.13,45655 22.135,45559 22.14,45399 22.145,45367 22.15,45463 22.155,45431 22.16,45303 22.165,45287 22.17,45287 22.175,45271 22.18,45495 22.185,45703 22.19,45783 22.195,45671 22.2,45431 22.205,45271 22.21,45351 22.215,45479 22.22,45527 22.225,45495 22.23,45479 22.235,45543 22.24,45655 22.245,45639 22.25,45431 22.255,45431 22.26,45479 22.265,45495 22.27,45447 22.275,45431 22.28,45415 22.285,45319 22.29,45175 22.295,45191 22.3,45239 22.305,45239 22.31,45207 22.315,45143 22.32,45143 22.325,45207 22.33,45239 22.335,45207 22.34,45143 22.345,45047 22.35,45015 22.355,45063 22.36,45143 22.365,45143 22.37,45111 22.375,45255 22.38,45303 22.385,45207 22.39,45095 22.395,45111 22.4,45143 22.405,45239 22.41,45351 22.415,45303 22.42,45207 22.425,45047 22.43,45111 22.435,45335 22.44,45415 22.445,45303 22.45,45207 22.455,45399 22.46,45463 22.465,45431 22.47,45335 22.475,45223 22.48,45191 22.485,45175 22.49,45175 22.495,45287 22.5,45367 22.505,45335 22.51,45207 22.515,45079 22.52,45143 22.525,45351 22.53,45495 22.535,45463 22.54,45335 22.545,45335 22.55,45335 22.555,45431 22.56,45367 22.565,45207 22.57,45175 22.575,45271 22.58,45303 22.585,45431 22.59,45607 22.595,45623 22.6,45463 22.605,45335 22.61,45335 22.615,45399 22.62,45287 22.625,45159 22.63,45431 22.635,45559 22.64,45479 22.645,45447 22.65,45527 22.655,45495 22.66,45495 22.665,45463 22.67,45255 22.675,45255 22.68,45255 22.685,45367 22.69,45559 22.695,45655 22.7,45591 22.705,45559 22.71,45463 22.715,45495 22.72,45527 22.725,45495 22.73,45431 22.735,45399 22.74,45271 22.745,45303 22.75,45479 22.755,45479 22.76,45447 22.765,45415 22.77,45399 22.775,45463 22.78,45527 22.785,45623 22.79,45591 22.795,45559 22.8,45399 22.805,45303 22.81,45319 22.815,45319 22.82,45367 22.825,45463 22.83,45431 22.835,45527 22.84,45559 22.845,45559 22.85,45527 22.855,45463 22.86,45447 22.865,45671 22.87,45687 22.875,45735 22.88,45655 22.885,45575 22.89,45623 22.895,45623 22.9,45303 22.905,45335 22.91,45335 22.915,45463 22.92,45655 22.925,45719 22.93,45607 22.935,45463 22.94,45383 22.945,45399 22.95,45431 22.955,45527 22.96,45655 22.965,45687 22.97,45751 22.975,45799 22.98,45751 22.985,45735 22.99,45687 22.995,45575 23,45591 23.005,45575 23.01,45463 23.015,45335 23.02,45351 23.025,45495 23.03,45511 23.035,45543 23.04,45623 23.045,45703 23.05,45671 23.055,45559 23.06,45447 23.065,45383 23.07,45223 23.075,45047 23.08,45127 23.085,45255 23.09,45223 23.095,45095 23.1,45111 23.105,45351 23.11,45399 23.115,45351 23.12,45191 23.125,45111 23.13,45015 23.135,44855 23.14,44791 23.145,44887 23.15,44967 23.155,44967 23.16,45047 23.165,44983 23.17,45031 23.175,45143 23.18,45175 23.185,45271 23.19,45335 23.195,45271 23.2,45159 23.205,45111 23.21,45063 23.215,45015 23.22,44951 23.225,44999 23.23,44999 23.235,44903 23.24,44903 23.245,44887 23.25,44887 23.255,44951 23.26,44951 23.265,44855 23.27,44823 23.275,44823 23.28,44951 23.285,45111 23.29,45047 23.295,44871 23.3,44727 23.305,44711 23.31,44759 23.315,44791 23.32,44663 23.325,44663 23.33,44743 23.335,44887 23.34,44983 23.345,44903 23.35,44903 23.355,44855 23.36,44855 23.365,44983 23.37,44999 23.375,44951 23.38,44855 23.385,44775 23.39,44855 23.395,45047 23.4,44935 23.405,44887 23.41,44759 23.415,44647 23.42,44711 23.425,44983 23.43,45143 23.435,45063 23.44,45015 23.445,45079 23.45,45063 23.455,45015 23.46,44967 23.465,44919 23.47,44903 23.475,44855 23.48,45079 23.485,45303 23.49,45271 23.495,45079 23.5,44951 23.505,44983 23.51,44903 23.515,44631 23.52,44647 23.525,44759 23.53,44759 23.535,44855 23.54,44999 23.545,45095 23.55,45175 23.555,45399 23.56,45511 23.565,45447 23.57,45415 23.575,45399 23.58,45335 23.585,45271 23.59,45303 23.595,45207 23.6,45015 23.605,45079 23.61,45207 23.615,45159 23.62,45143 23.625,45223 23.63,45207 23.635,45287 23.64,45319 23.645,45383 23.65,45367 23.655,45399 23.66,45479 23.665,45527 23.67,45511 23.675,45623 23.68,45639 23.685,45783 23.69,45655 23.695,45447 23.7,45399 23.705,45447 23.71,45415 23.715,45367 23.72,45447 23.725,45655 23.73,45751 23.735,45687 23.74,45575 23.745,45639 23.75,45911 23.755,46071 23.76,46039 23.765,45927 23.77,45975 23.775,46167 23.78,46263 23.785,46295 23.79,46455 23.795,46711 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図形と関数

  1 図形と関数
名称 グラフ 説明
指数関数
python +matplotlib
import numpy as np
import math
import matplotlib.pyplot as plt

xy = [(p, math.exp(p)) for p in \
      np.arange(start = - 2, stop = 2, step = 0.1)]
z = [list(t) for t in zip(*xy)]; x = z[0]; y = z[1]

fig, ax = plt.subplots()
ax.plot(x, y)

plt.show()
逆ネルンスト 電池の充放電曲線で現れます。
確率曲線
正規分布関数 確率統計で多用されます。 品質管理 でも大切です。

<!-- 図図図図図 図図図図図 -->
<figure>
<img src="https://a.yamagata-u.ac.jp/amenity/Laboratory/xyGraphImage.aspx?id=13" />
<figcaption>
<a href="https://edu.yz.yamagata-u.ac.jp/developer/Asp/Youzan/Laboratory/Plot/Plot_Index.asp">Fig</a> <a href="https://edu.yz.yamagata-u.ac.jp/developer/Asp/Youzan/Laboratory/Plot/@Plot.asp?nxyGraphID=13"> ZnOのみのESRスペクトル </a>
<div> </div>
</figcaption>
</figure>
<!-- 図図図図図 図図図図図 -->

動画、音声及び写真を含む図表等を転載する場合には転載許諾書による同意があった方が無難です。 動画、音声及び写真を含む図表等の転載許諾書


QRコード
https://edu.yz.yamagata-u.ac.jp/developer/Asp/Youzan/Laboratory/Plot/@Plot.asp?nxyGraphID=13
名称: 教育用公開ウェブサービス
URL: 🔗 https://edu.yz.yamagata-u.ac.jp/
管理運用 山形大学 学術情報基盤センター

🎄🎂🌃🕯🎉
名称: サイバーキャンパス「鷹山」
URL: 🔗 http://amenity.yz.yamagata-u.ac.jp/
管理運用 山形大学 データベースアメニティ研究会
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