Update string split method to use keyword arguments for newer Pandas
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1 changed files with 4 additions and 4 deletions
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@ -83,8 +83,8 @@ timelog["day_of_week"] = pd.to_datetime(timelog["date"]).dt.day_name()
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# If a project has been specified (task prefixed with a colon), then put the
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# project in its own column.
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timelog['project'] = (np.where(timelog['description'].str.contains(': '), timelog['description'].str.split(': ', 1).str[0], None))
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timelog['description'] = (np.where(timelog['description'].str.contains(': '), timelog['description'].str.split(': ', 1).str[1], timelog['description']))
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timelog['project'] = (np.where(timelog['description'].str.contains(': '), timelog['description'].str.split(': ', n=1).str[0], None))
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timelog['description'] = (np.where(timelog['description'].str.contains(': '), timelog['description'].str.split(': ', n=1).str[1], timelog['description']))
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# Mid-work clean up of description and new project.
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timelog['description'] = timelog['description'].str.strip()
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@ -160,8 +160,8 @@ for preferred, alternatives in compound_project_tasks.items():
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# If a compound project was specified, break that out into a sub-project (in
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# Harvest, we use Task, which is really task type, for this).
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timelog['subproject'] = (np.where(timelog['project'].str.contains(' — '), timelog['project'].str.split(' — ', 1).str[1], None))
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timelog['project'] = (np.where(timelog['project'].str.contains(' — '), timelog['project'].str.split(' — ', 1).str[0], timelog['project']))
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timelog['subproject'] = (np.where(timelog['project'].str.contains(' — '), timelog['project'].str.split(' — ', n=1).str[1], None))
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timelog['project'] = (np.where(timelog['project'].str.contains(' — '), timelog['project'].str.split(' — ', n=1).str[0], timelog['project']))
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# Replace irregular-but-known project names with ones timetracking tools use.
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harvest_project_names = {
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