sabiharustam /
voltcycle
| @@ 107-128 (lines=22) @@ | ||
| 104 | return data |
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| 105 | ||
| 106 | ||
| 107 | def plot_fig(dict_cycle, n): |
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| 108 | """For basic plotting of the cycle data |
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| 109 | ||
| 110 | Parameters |
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| 111 | __________ |
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| 112 | dict: dictionary of dataframes for all the cycles |
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| 113 | n: number of cycles |
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| 114 | ||
| 115 | Saves the plot in a file called cycle.png |
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| 116 | """ |
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| 117 | ||
| 118 | for i in range(n): |
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| 119 | print(i+1) |
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| 120 | df = data_frame(dict_cycle, i+1) |
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| 121 | plt.plot(df.Potential, df.Current, label = "Cycle{}".format(i+1)) |
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| 122 | ||
| 123 | #print(df.head()) |
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| 124 | plt.xlabel('Voltage') |
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| 125 | plt.ylabel('Current') |
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| 126 | plt.legend() |
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| 127 | plt.savefig('cycle.png') |
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| 128 | print('executed') |
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| 129 | ||
| 130 | ||
| 131 | #split forward and backward sweping data, to make it easier for processing. |
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| @@ 99-120 (lines=22) @@ | ||
| 96 | data = pd.DataFrame(zippedList, columns = ['Potential' , 'Current']) |
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| 97 | return data |
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| 98 | ||
| 99 | def plot_fig(dict_cycle, n): |
|
| 100 | """For basic plotting of the cycle data |
|
| 101 | ||
| 102 | Parameters |
|
| 103 | __________ |
|
| 104 | dict: dictionary of dataframes for all the cycles |
|
| 105 | n: number of cycles |
|
| 106 | ||
| 107 | Saves the plot in a file called cycle.png |
|
| 108 | """ |
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| 109 | ||
| 110 | for i in range(n): |
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| 111 | print(i+1) |
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| 112 | df = data_frame(dict_cycle, i+1) |
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| 113 | plt.plot(df.Potential, df.Current, label = "Cycle{}".format(i+1)) |
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| 114 | ||
| 115 | print(df.head()) |
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| 116 | plt.xlabel('Voltage') |
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| 117 | plt.ylabel('Current') |
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| 118 | plt.legend() |
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| 119 | plt.savefig('cycle.png') |
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| 120 | print('executed') |
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| 121 | ||
