sabiharustam /
voltcycle
| @@ 12-31 (lines=20) @@ | ||
| 9 | import peakutils |
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| 10 | ||
| 11 | ||
| 12 | def read_cycle(data): |
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| 13 | """This function reads a segment of datafile (corresponding a cycle) |
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| 14 | and generates a dataframe with columns 'Potential' and 'Current' |
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| 15 | ||
| 16 | Parameters |
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| 17 | __________ |
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| 18 | data: segment of data file |
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| 19 | Returns |
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| 20 | _______ |
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| 21 | A dataframe with potential and current columns |
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| 22 | """ |
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| 23 | ||
| 24 | current = [] |
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| 25 | potential = [] |
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| 26 | for i in data[3:]: |
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| 27 | current.append(float(i.split("\t")[4])) |
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| 28 | potential.append(float(i.split("\t")[3])) |
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| 29 | zipped_list = list(zip(potential, current)) |
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| 30 | dataframe = pd.DataFrame(zipped_list, columns=['Potential', 'Current']) |
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| 31 | return dataframe |
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| 32 | ||
| 33 | ||
| 34 | def read_file_dash(lines): |
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| @@ 8-27 (lines=20) @@ | ||
| 5 | import matplotlib.pyplot as plt |
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| 6 | ||
| 7 | ||
| 8 | def read_cycle(data): |
|
| 9 | """This function reads a segment of datafile (corresponding a cycle) |
|
| 10 | and generates a dataframe with columns 'Potential' and 'Current' |
|
| 11 | ||
| 12 | Parameters |
|
| 13 | __________ |
|
| 14 | data: segment of data file |
|
| 15 | Returns |
|
| 16 | _______ |
|
| 17 | A dataframe with potential and current columns |
|
| 18 | """ |
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| 19 | ||
| 20 | current = [] |
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| 21 | potential = [] |
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| 22 | for i in data[3:]: |
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| 23 | current.append(float(i.split("\t")[4])) |
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| 24 | potential.append(float(i.split("\t")[3])) |
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| 25 | zipped_list = list(zip(potential, current)) |
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| 26 | dataframe = pd.DataFrame(zipped_list, columns=['Potential', 'Current']) |
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| 27 | return dataframe |
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| 28 | ||
| 29 | ||
| 30 | def read_file(file): |
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