34 lines
1 KiB
Python
34 lines
1 KiB
Python
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import pandas as pd
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def read_battsmall(path):
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''' Reads BATTSMALL-data into a DataFrame.
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Input:
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path (required): string with path to datafile
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Output:
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df: pandas DataFrame containing the data as-is, but without additional NaN-columns.'''
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df = pd.read_csv(data1, skiprows=2, sep='\t')
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df = df.loc[:, ~df.columns.str.contains('^Unnamed')]
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return df
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def clean_battsmall_data(df, t='ms', C='mAh/g', I='mA', U='V'):
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''' Takes BATTSMALL-data in the form of a DataFrame and cleans the data up and converts units into desired units.
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Also adds a column indicating whether or not it is charge or discharge.
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Input:
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df (required): A pandas DataFrame containing BATTSMALL-data, as obtained from read_battsmall().
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t (optional): Unit for time data. Defaults to ms.
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C (optional): Unit for specific capacity. Defaults to mAh/g.
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I (optional): Unit for current. Defaults mA.
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U (optional): Unit for voltage. Defaults to V.
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Output:
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df: A cleaned up DataFrame with desired units and additional column about charge/discharge.
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'''
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