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) \ , (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) \ ] 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()
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。
xmin | 21 |
xmax | 26 |
ymin | 40000 |
ymax | 52000 |
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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。 |
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