sabiharustam /
voltcycle
| @@ 130-145 (lines=16) @@ | ||
| 127 | #list1, list2 = list(dict1.get('df_'+str(1))) |
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| 128 | ||
| 129 | ||
| 130 | def data_frame(dict_cycle, number): |
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| 131 | """Reads the dictionary of dataframes and returns dataframes for each cycle |
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| 132 | ||
| 133 | Parameters |
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| 134 | __________ |
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| 135 | dict_cycle: Dictionary of dataframes |
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| 136 | n: cycle number |
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| 137 | ||
| 138 | Returns: |
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| 139 | _______ |
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| 140 | Dataframe correcponding to the cycle number |
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| 141 | """ |
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| 142 | list1, list2 = (list(dict_cycle.get('cycle_'+str(number)).items())) |
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| 143 | zipped_list = list(zip(list1[1], list2[1])) |
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| 144 | data = pd.DataFrame(zipped_list, columns=['Potential', 'Current']) |
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| 145 | return data |
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| 146 | ||
| 147 | ||
| 148 | def plot_fig(dict_cycle, number): |
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| @@ 82-97 (lines=16) @@ | ||
| 79 | #list1, list2 = list(dict1['df_1'].items()) |
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| 80 | #list1, list2 = list(dict1.get('df_'+str(1))) |
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| 81 | ||
| 82 | def data_frame(dict_cycle, number): |
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| 83 | """Reads the dictionary of dataframes and returns dataframes for each cycle |
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| 84 | ||
| 85 | Parameters |
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| 86 | __________ |
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| 87 | dict_cycle: Dictionary of dataframes |
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| 88 | n: cycle number |
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| 89 | ||
| 90 | Returns: |
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| 91 | _______ |
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| 92 | Dataframe correcponding to the cycle number |
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| 93 | """ |
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| 94 | list1, list2 = (list(dict_cycle.get('cycle_'+str(number)).items())) |
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| 95 | zipped_list = list(zip(list1[1], list2[1])) |
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| 96 | data = pd.DataFrame(zipped_list, columns=['Potential', 'Current']) |
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| 97 | return data |
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| 98 | ||
| 99 | def plot_fig(dict_cycle, number): |
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| 100 | """For basic plotting of the cycle data |
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