How to use get_cap to select and plot voltage curves

[1]:

import matplotlib.pyplot as plt
import numpy as np

import cellpy
from cellpy.utils import example_data

[2]:

c = example_data.cellpy_file()

(cellpy) - cycle mode not found

[3]:

c.get_cycle_numbers()

[3]:

array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,
       35, 36], dtype=int64)

[4]:

curves1 = c.get_cap(cycle=[1, 2, 3, 4, 5])

[5]:

curves1.head()

[5]:
voltage capacity
1068 0.110245 0.000003
1069 0.115479 0.278791
1070 0.120714 1.425499
1071 0.125948 3.227624
1072 0.131183 5.280277 
[6]:

curves1.plot(x="capacity", y="voltage");
../_images/notebooks_tutorial_get_cap_6_0.png 
[7]:

curves2 = c.get_cap(cycle=[1, 2, 3, 4, 5], method="forth-and-forth")
curves2.plot(x="capacity", y="voltage");
../_images/notebooks_tutorial_get_cap_7_0.png 
[8]:

curves3 = c.get_cap(cycle=[1, 2, 3, 4, 5], method="forth")
curves3.plot(x="capacity", y="voltage");
../_images/notebooks_tutorial_get_cap_8_0.png 
[9]:

import hvplot.pandas

[10]:

curves4 = c.get_cap(
    cycle=[1, 2, 3, 10, 20], method="back-and-forth", label_cycle_number=True
)
curves4.head()

[10]:
cycle voltage capacity
1068 1 0.110245 0.000003
1069 1 0.115479 0.278791
1070 1 0.120714 1.425499
1071 1 0.125948 3.227624
1072 1 0.131183 5.280277 
[11]:

curves4.hvplot(x="capacity", y="voltage", by="cycle", width=500)

[11]:

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