sabiharustam /
voltcycle
| @@ 152-173 (lines=22) @@ | ||
| 149 | return data |
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| 150 | ||
| 151 | ||
| 152 | def plot_fig(dict_cycle, n): |
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| 153 | """For basic plotting of the cycle data |
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| 154 | ||
| 155 | Parameters |
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| 156 | __________ |
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| 157 | dict: dictionary of dataframes for all the cycles |
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| 158 | n: number of cycles |
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| 159 | ||
| 160 | Saves the plot in a file called cycle.png |
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| 161 | """ |
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| 162 | ||
| 163 | for i in range(n): |
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| 164 | print(i+1) |
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| 165 | df = data_frame(dict_cycle, i+1) |
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| 166 | plt.plot(df.Potential, df.Current, label = "Cycle{}".format(i+1)) |
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| 167 | ||
| 168 | #print(df.head()) |
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| 169 | plt.xlabel('Voltage') |
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| 170 | plt.ylabel('Current') |
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| 171 | plt.legend() |
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| 172 | plt.savefig('cycle.png') |
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| 173 | print('executed') |
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| 174 | ||
| 175 | ||
| 176 | #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): |
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| 100 | """For basic plotting of the cycle data |
|
| 101 | ||
| 102 | Parameters |
|
| 103 | __________ |
|
| 104 | dict: dictionary of dataframes for all the cycles |
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| 105 | n: number of cycles |
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| 106 | ||
| 107 | Saves the plot in a file called cycle.png |
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| 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 | ||
