git clone my emacs-config then doom-emacs develop(clone then checkout) branch
then org-export-dispatch
C-c C-e l l
C-c C-e l o
https://github.com/FirstLoveLife/Black-RX/blob/master/config.el#L402:
(setq reftex-default-bibliography '("~/bibliography/references.bib"))
(setq org-ref-bibliography-notes "~/bibliography/notes.org"
org-ref-default-bibliography '("~/bibliography/references.bib")
org-ref-pdf-directory "~/bibliography/bibtex-pdfs/")
(setq org-latex-pdf-process
'(
"rm -fr %b.out %b.bbl %b.log %b.aux %b.blg %b.toc auto texput.log"
"xelatex -shell-escape -interaction nonstopmode -output-directory %o %f"
"bibtex %b"
"xelatex -shell-escape -interaction nonstopmode -output-directory %o %f"
"xelatex -shell-escape -interaction nonstopmode -output-directory %o %f"
"xelatex -shell-escape -interaction nonstopmode -output-directory %o %f"
"xelatex -shell-escape -interaction nonstopmode -output-directory %o %f"
"xelatex -shell-escape -interaction nonstopmode -output-directory %o %f"
"xelatex -shell-escape -interaction nonstopmode -output-directory %o %f"
"xelatex -shell-escape -interaction nonstopmode -output-directory %o %f"
"xelatex -shell-escape -interaction nonstopmode -output-directory %o %f"
"xelatex -shell-escape -interaction nonstopmode -output-directory %o %f"
"xelatex -shell-escape -interaction nonstopmode -output-directory %o %f"
"rm -fr %b.out %b.bbl %b.log %b.aux %b.blg %b.toc auto texput.log"
))
(setq org-latex-compiler "xelatex")
$\frac{V × M × 100.8 × 1000}{V_w}$ - \[CEDTA = 0.0089 \text{mol}/L\]
- \[VL50 = 50 ml = 0.05L\]
- X: 钙离子浓度(以
$CaCO_3$ 计), mg/L; - V: 滴定时EDTA标准溶液消耗的体积, mL;
- M = 0.0089: EDTA标准溶液的浓度, mol/L;
-
$V_m = 50$ : 水样的体积, mL; - 100.8: $CaCO3$ 的摩尔质量, g/mol.
- result = 17.9424 * V
- result2 = 16.10784 * V
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
0.5h | 7.79 | 3.9434 | 0.16 | 0.30 | 0.23 | 8.00 | 4.127 |
----------------+-----------+----------+----------+--------+--------+--------------+
1h | 7.45 | 4.0125 | 0.48 | 0.46 | 0.47 | 0.27 | 8.433 |
----------------+-----------+----------+----------+--------+--------+--------------+
2h | 6.6 | 3.9806 | 0.51 | 0.58 | 0.55 | 9.79 | 9.868 |
----------------+-----------+----------+----------+--------+--------+--------------+
3h | 7.04 | 3.9820 | 0.95 | 0.90 | 0.93 | 9.84 | 16.686 |
----------------+-----------+----------+----------+--------+--------+--------------+
6h | 7.56 | 3.9874 | 1.85 | 1.91 | 1.88 | 10.22 | 33.732 |
----------------+-----------+----------+----------+--------+--------+--------------+
8h | 7.54 | 3.9817 | 2.22 | 2.21 | 2.22 | 10.32 | 39.832 |
----------------+-----------+----------+----------+--------+--------+--------------+
10h | 7.58 | 3.9999 | 2.31 | 2.30 | 2.31 | 10.34 | 41.447 |
----------------+-----------+----------+----------+--------+--------+--------------+
12h | 7.21 | 4.0511 | 2.50 | 2.53 | 2.52 | 10.52 | 45.215 |
----------------+-----------+----------+----------+--------+--------+--------------+
16h | 7.71 | 4.0014 | 2.85 | 2.88 | 2.87 | 10.46 | 51.494 |
----------------+-----------+----------+----------+--------+--------+--------------+
20h | 7.98 | 4.0470 | 3.32 | 3.38 | 3.35 | 10.50 | 59.107 |
----------------+-----------+----------+----------+--------+--------+--------------+
24h | 6.64 | 4.0410 | 3.33 | 3.55 | 3.44 | 10.61 | 61.722 |
----------------+-----------+----------+----------+--------+--------+--------------+
28h | 8.29 | 4.0133 | 4.01 | 3.98 | 4.00 | 10.67 | 71.769 |
----------------+-----------+----------+----------+--------+--------+--------------+
40h | 7.54 | 4.0077 | 4.47 | 4.57 | 4.52 | 10.76 | 81.100 |
----------------+-----------+----------+----------+--------+--------+--------------+
52h | 7.71 | 4.0181 | 4.39 | 4.40 | 4.40 | 10.74 | 78.946 |
----------------+-----------+----------+----------+--------+--------+--------------+
64h | 7.85 | 3.9628 | 4.62 | 4.80 | 4.71 | 10.84 | 84.509 |
----------------+-----------+----------+----------+--------+--------+--------------+
88h | 7.77 | 3.9832 | 5.94 | 5.90 | 5.92 | 10.96 | 106.219 |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 7.46 | 3.9474 | 7.30 | 7.19 | 7.25 | 11.11 | 130.082 |
----------------+-----------+----------+----------+--------+--------+--------------+
192h | 7.54 | 4.0262 | 7.50 | 7.81 | 7.66 | 11.14 | 137.439 |
----------------+-----------+----------+----------+--------+--------+--------------+
280h | 7.27 | 4.0021 | 7.65 | 7.70 | 7.68 | 11.67 | 123.7082 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 7.23 | 6.0225 | 8.17 | 8.22 | 8.20 | 11.06 | 147.128 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 7.21 | 7.9501 | 9.51 | 9.50 | 9.51 | 11.12 | 170.632 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
3h | 7.72 | 10.0179 | 2.07 | 2.27 | 2.17 | 10.27 | 38.935 |
----------------+-----------+----------+----------+--------+--------+--------------+
16h | 7.53 | 9.9756 | 6.47 | 6.39 | 6.43 | 10.78 | 115.370 |
----------------+-----------+----------+----------+--------+--------+--------------+
40h | 7.34 | 9.9869 | 9.43 | 9.30 | 9.37 | 10.95 | 168.120 |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 7.73 | 9.9246 | 9.33 | 9.35 | 9.34 | 11.13 | 167.582 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 4.13 | 4.0266 | 6.20 | 6.05 | 6.13 | 10.83 | 109.987 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 2.09 | 3.9901 | 4.40 | 5.18 | 4.79 | 9.19 | 85.944 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 9.97 | 3.9855 | 5.78 | 5.80 | 5.79 | 10.97 | 103.886 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
0.5h | 7.68 | 3.9229 | 0.12 | 0.12 | 0.12 | 9.52 | 2.153 |
----------------+-----------+----------+----------+--------+--------+--------------+
1h | 7.61 | 4.0753 | 0.47 | 0.51 | 0.49 | 9.66 | 8.792 |
----------------+-----------+----------+----------+--------+--------+--------------+
2h | 7.78 | 3.9807 | 0.71 | 0.70 | 0.71 | 10.18 | 12.739 |
----------------+-----------+----------+----------+--------+--------+--------------+
3h | 7.39 | 3.9222 | 0.70 | 0.81 | 0.76 | 10.36 | 13.636 |
----------------+-----------+----------+----------+--------+--------+--------------+
6h | 7.34 | 4.0430 | 0.92 | 0.91 | 0.92 | 10.38 | 16.507 |
----------------+-----------+----------+----------+--------+--------+--------------+
8h | 7.40 | 3.9801 | 1.27 | 1.37 | 1.32 | 10.71 | 23.684 |
----------------+-----------+----------+----------+--------+--------+--------------+
10h | 7.71 | 4.0198 | 1.80 | 1.79 | 1.80 | 10.86 | 32.296 |
----------------+-----------+----------+----------+--------+--------+--------------+
12h | 7.19 | 3.9577 | 1.80 | 1.62 | 1.71 | 10.74 | 30.681 |
----------------+-----------+----------+----------+--------+--------+--------------+
16h | 6.88 | 4.0333 | 1.84 | 1.86 | 1.85 | 10.79 | 32.193 |
----------------+-----------+----------+----------+--------+--------+--------------+
20h | 7.32 | 3.9780 | 2.46 | 2.32 | 2.39 | 10.82 | 42.882 |
----------------+-----------+----------+----------+--------+--------+--------------+
24h | 7.41 | 4.0010 | 2.58 | 2.56 | 2.57 | 10.95 | 46.112 |
----------------+-----------+----------+----------+--------+--------+--------------+
32h | 7.34 | 4.0132 | 2.89 | 2.87 | 2.88 | 11.00 | 51.674 |
----------------+-----------+----------+----------+--------+--------+--------------+
40h | 7.65 | 3.9898 | 3.03 | 3.12 | 3.08 | 11.04 | 55.263 |
----------------+-----------+----------+----------+--------+--------+--------------+
52h | 7.86 | 3.9730 | 3.60 | 3.76 | 3.68 | 11.00 | 66.028 |
----------------+-----------+----------+----------+--------+--------+--------------+
64h | 7.45 | 4.0198 | 3.90 | 4.10 | 4.00 | 11.15 | 71.770 |
----------------+-----------+----------+----------+--------+--------+--------------+
88h | 7.49 | 3.9688 | 4.20 | 4.20 | 4.20 | 11.11 | 75.358 |
----------------+-----------+----------+----------+--------+--------+--------------+
112h | 7.45 | 3.9403 | 4.70 | 4.99 | 4.86 | 11.14 | 87.200 |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 7.48 | 3.9420 | 4.70 | 4.99 | 4.86 | 11.14 | 92.205 |
----------------+-----------+----------+----------+--------+--------+--------------+
192h | 7.41 | 3.9268 | 5.98 | 5.70 | 5.84 | 11.43 | 104.783 |
----------------+-----------+----------+----------+--------+--------+--------------+
280h | 7.29 | 4.0212 | 5.90 | 5.93 | 5.92 | 11.98 | 95.3584 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 7.42 | 6.0103 | 5.90 | 5.80 | 5.85 | 11.38 | 104.963 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 7.31 | 10.0125 | 7.30 | 7.40 | 7.35 | 11.45 | 131.877 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 1.98 | 3.9951 | 7.80 | 8.65 | 8.23 | 8.20 | 147.666 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 3.93 | 4.0336 | 5.50 | 5.40 | 5.45 | 11.18 | 97.786 |
----------------+-----------+----------+----------+--------+--------+--------------+
----------------+-----------+----------+----------+--------+--------+--------------+
time | pH | ceramsites | edta 1(ml) | edta 2(ml) | average | pH(end) | result(mg/L) |
----------------+-----------+----------+----------+--------+--------+--------------+
136h | 9.88 | 4.0518 | 4.95 | 5.00 | 4.98 | 11.14 | 89.353 |
----------------+-----------+----------+----------+--------+--------+--------------+
- 0.1转速: 240ml/24h 10
- 0.2转速: 15.5h 330ml 21.29
- 0.3转速: 410ml 13:23H 30.635
- 0.4转速: 590ml 13:23H 44.08
- 0.5转速: 870ml 16::17 53.43
- 0.6转速: 1060ml 16::17 65.1
- 0.7 550 7:34 72.684
- 0.8 680 7:34 89.864
- 0.9 1160 11:34 100.282
- 1.0: 560 112
- 1.1: 620 5h 124
- 原料配比具体指哪些 强度, 空隙结构影响因素
35min 9.96 1:23 10.05 2:00 10.16 2:46 10.24 4.05 4:30 10.50 5:00 10.59 11 9:00 10.72 16.8 11:00 10.87 18.80 12:00 10.89 19.80 24:00 10.97 23.4 28:00 10.95 26.40 37:00 11.03 24.16 47:00 11.10 22.80 78:00 10.95 16.96
123:00 11.07 9.8 155:00 11.10 8.5 195:30 11.50 4.8 219:00 11.67 6.30 270:00 11.66 5.70
35min 10.63 1:23 10.83 2:00 10.84 3.0 3:00 10.99 4.20 4:30 11.11 5:00 11.13 5.62 9:00 11.26 7.03 11:00 11.34 8.17 12:00 11.39 8.22 24:00 11.21 7.28 28:00 11.27 7.38 37:00 11.35 8.02 47:00 11.40 7.84 78:00 11.20 7.20
123:00 11.28 4.60 155:00 11.33 5.20 195:30 11.72 7.50 219:00 11.84 6.25 270:00 11.85 5.60
2.4970g/1000ml = 0.02477mol/1000ml = 0.02477mol/l = 0.00002477mol/ml 3.4ml 1ml = 10mg 3.9945g/300ml
0.00002477mol * 336.21 = 0.0083279217 g / 3.1ml = 0.00799
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Source Han Serif CN'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
matplotlib.rc('font', family='Source Han Sans CN')
fig, ax = plt.subplots()
plt.plot([0.5, 1, 2, 3, 6, 8, 10, 12, 16, 20, 24, 32, 40, 52, 64, 88, 112, 136, 192, 280], [2.153, 8.792, 12.739, 13.636, 16.507, 23.684, 32.296, 30.681, 32.193, 42.882, 46.112, 51.674, 55.263, 66.028, 71.770, 75.358, 87.200, 92.205, 104.783, 95.3584], marker='s', markerfacecolor='blue', markersize=6, color='skyblue', label='L60')
plt.plot([0.5, 1, 2, 3, 6, 8, 10, 12, 16, 20, 24, 28, 40, 52, 64, 88, 136, 192, 280], [4.127, 8.433, 9.868, 16.686, 33.732, 39.832, 41.447, 44.215, 51.494, 59.107, 61.722, 71.769, 81.100, 78.946, 84.509, 106.219, 130.082, 137.439, 123.7082], marker=10, label='L50', color='olive', markersize=6)
plt.legend(loc='lower right')
plt.xlabel('时间(h)')
plt.ylabel('浓度(mg/L)')
ax.tick_params(axis="x", direction="in")
ax.tick_params(axis="y", direction="in")
fig.savefig("time-Concentration.png", dpi=1000)
'time-Concentration.png'
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Source Han Serif CN'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
fig, ax = plt.subplots()
plt.plot([0.5, 1, 2, 3, 6, 8, 10, 12, 16, 20, 24, 32, 40, 52, 64, 88, 112, 192, 280], [8.00, 8.27, 9.79, 9.84, 10.22, 10.32, 10.34, 10.52, 10.46, 10.50, 10.61, 10.67, 10.76, 10.74, 10.84, 10.96, 11.11, 11.14, 11.67], marker=10, label='L50', color='olive', markersize=6 )
plt.plot([0.5, 1, 2, 3, 6, 8, 10, 12, 16, 20, 24, 28, 40, 52, 64, 88, 136, 192, 280], [9.52, 9.66, 10.18, 10.36, 10.38, 10.71, 10.86, 10.74, 10.79, 10.82, 10.95, 11.00, 11.04, 11.00, 11.15, 11.11, 11.14, 11.43, 11.98], marker='s', markerfacecolor='blue', markersize=6, color='skyblue', label='L60')
plt.legend(loc='lower right')
plt.xlabel('时间(h)')
plt.ylabel('终点pH')
ax.tick_params(axis="x", direction="in")
ax.tick_params(axis="y", direction="in")
fig.savefig("time-pH.png", dpi=1000)
'time-pH.png'
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Source Han Serif CN'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
fig, ax = plt.subplots()
plt.plot([3, 16, 40, 136], [38.935, 115.370, 168.120, 167.582], marker='s', markerfacecolor='blue', markersize=6, color='skyblue', label='L50')
plt.legend(loc='lower right')
plt.xlabel('时间(h)')
plt.ylabel('浓度(mg/L)')
ax.tick_params(axis="x", direction="in")
ax.tick_params(axis="y", direction="in")
fig.savefig("No4-5g-time-Concentration.png", dpi=1000)
'No4-5g-time-Concentration.png'
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Source Han Serif CN'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
fig, ax = plt.subplots()
plt.plot([3, 16, 40, 136], [10.27, 10.78, 10.95, 11.13], marker=10, label='L50', color='olive', markersize=6 )
plt.legend(loc='lower right')
plt.xlabel('时间(h)')
plt.ylabel('终点pH')
ax.tick_params(axis="x", direction="in")
ax.tick_params(axis="y", direction="in")
fig.savefig("No4-5g-100-time-pH.png")
'No4-5g-100-time-pH.png'
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Source Han Serif CN'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
fig, ax = plt.subplots()
plt.plot([2, 3, 4, 5], [130.082, 147.128, 170.632, 167.582], marker='s', markersize=6, label='L50')
plt.plot([2, 3, 5], [92, 104.963, 131.877], marker='s', markersize=6, label='L60')
plt.legend(loc='lower right')
plt.xlabel('投加量(g/100ml)')
plt.ylabel('浓度(mg/L)')
ax.tick_params(axis="x", direction="in")
ax.tick_params(axis="y", direction="in")
fig.savefig("dosage-Concentration.png", dpi=1000)
'dosage-Concentration.png'
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Source Han Serif CN'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
fig, ax = plt.subplots()
# ax.yaxis.set_major_formatter(FormatStrFormatter('%.2f'))
# ax.xaxis.set_major_formatter(FormatStrFormatter('%.1f'))
plt.plot([2, 3, 4, 5], [11.11, 11.06, 11.12, 11.13], marker='s', markersize=6, label='L50')
plt.plot([2, 3, 5], [11.25, 11.38, 11.45], marker='s', markersize=6, label='L60')
plt.legend(loc='lower right')
plt.xlabel('投加量(g/100ml)')
plt.ylabel('终点pH')
ax.tick_params(axis="x", direction="in")
ax.tick_params(axis="y", direction="in")
plt.savefig('dosage-pH', transparent=False, bbox_inches='tight', dpi=1000)
'dosage-pH.png'
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Source Han Serif CN'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
fig, ax = plt.subplots()
# ax.yaxis.set_major_formatter(FormatStrFormatter('%.2f'))
# ax.xaxis.set_major_formatter(FormatStrFormatter('%.3f'))
plt.plot([2.09, 4.13, 7.6, 9.97], [85.944, 109.987, 130.082,103.866], marker='s', markersize=6, label='L50')
plt.plot([1.98, 3.93, 7.45, 9.88], [147.666, 97.786, 92.20, 89.353], marker='s', markersize=6, label='L60')
plt.legend(loc='lower right')
plt.xlabel('初始pH')
plt.ylabel('浓度(mg/L)')
ax.tick_params(axis="x", direction="in")
ax.tick_params(axis="y", direction="in")
plt.savefig('pH-Concentration', transparent=False, bbox_inches='tight', dpi=1000)
'pH-Concentration.png'
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Source Han Serif CN'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
fig, ax = plt.subplots()
# ax.yaxis.set_major_formatter(FormatStrFormatter('%.2f'))
# ax.xaxis.set_major_formatter(FormatStrFormatter('%.2f'))
plt.plot([2.09, 4.13, 7.6, 9.97], [9.19, 10.83, 11.11, 10.97], marker='s', markersize=6, label='L50')
plt.plot([1.98, 3.93, 7.45, 9.88], [8.20, 11.18, 11.25, 11.14], marker='s', markersize=6, label='L60')
plt.legend(loc='lower right')
plt.xlabel('初始pH')
plt.ylabel('终点pH')
ax.tick_params(axis="x", direction="in")
ax.tick_params(axis="y", direction="in")
plt.savefig('pH-pH', transparent=False, bbox_inches='tight', dpi=1000)
'pH-pH.png'
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Source Han Serif CN'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
fig, ax = plt.subplots()
# ax.yaxis.set_major_formatter(FormatStrFormatter('%.3f'))
# ax.xaxis.set_major_formatter(FormatStrFormatter('%.1f'))
plt.plot([2.77, 5, 9, 11, 12, 24, 28, 37, 47, 78, 123, 155, 195, 219, 270], [4.05, 11, 16.8, 18.8, 19.8, 23.4, 26.3, 24.16, 22.80, 16.96, 9.8, 8.5, 4.8, 6.3, 5.7], marker=10, label='L50', color='olive', markersize=10)
plt.plot([2, 3, 5, 9, 11, 12, 24, 28, 37, 47, 78, 123, 155, 195, 219, 270], [3.0, 4.20, 5.62, 7.03, 8.17, 8.22, 7.28, 7.38, 8.02, 7.84, 7.20, 4.60, 5.20, 7.50, 6.25, 5.60], marker='s', markerfacecolor='blue', markersize=6, color='skyblue', label='L60')
plt.legend(loc='lower right')
plt.xlabel('时间(h)')
plt.ylabel('浓度(mg/L)')
ax.tick_params(axis="x", direction="in")
ax.tick_params(axis="y", direction="in")
plt.savefig('dynamic-time-Concentration', transparent=False, bbox_inches='tight', dpi=1000)
'dynamic-time-Concentration.png'
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Source Han Serif CN'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
fig, ax = plt.subplots()
# ax.yaxis.set_major_formatter(FormatStrFormatter('%.3f'))
# ax.xaxis.set_major_formatter(FormatStrFormatter('%.1f'))
plt.plot([0.5833, 1.3833, 2, 2.77, 4.5, 5, 9, 11, 12, 24, 28, 37, 47, 78, 123, 155, 195, 219, 270], [9.96, 10.05, 10.16, 10.24, 10.50, 10.59, 10.72, 10.87, 10.89, 10.97, 10.95, 11.03, 11.10, 10.95, 11.07, 11.10, 11.50, 11.67, 11.66], marker=10, label='L50', color='olive', markersize=6)
plt.plot([0.5833, 1.3833, 2, 3, 4.5, 5, 9, 11, 12, 24, 28, 37, 47, 78, 123, 155, 195, 219, 270], [10.63, 10.83, 10.84, 10.99, 11.11, 11.13, 11.26, 11.34, 11.39, 11.21, 11.27, 11.35, 11.40, 11.20, 11.28, 11.33, 11.72, 11.84, 11.85], marker='s', markerfacecolor='blue', markersize=6, color='skyblue', label='L60')
plt.legend(loc='lower right')
plt.xlabel('时间')
plt.ylabel('终点pH)')
ax.tick_params(axis="x", direction="in")
ax.tick_params(axis="y", direction="in")
plt.savefig('dynamic-time-pH', transparent=False, bbox_inches='tight', dpi=1000)
'dynamic-time-pH.png'