agaric/parse-timelogs-for-upload
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Update string split method to use keyword arguments for newer Pandas

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benjamin melançon 2023-02-06 10:03:22 -05:00
parent 34eb40a092
commit 7e2175860f
1 changed files with 4 additions and 4 deletions
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pomodoro_to_harvest.py
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@ -83,8 +83,8 @@ timelog["day_of_week"] = pd.to_datetime(timelog["date"]).dt.day_name()
# If a project has been specified (task prefixed with a colon), then put the # If a project has been specified (task prefixed with a colon), then put the
# project in its own column. # project in its own column.
timelog['project'] = (np.where(timelog['description'].str.contains(': '), timelog['description'].str.split(': ', 1).str[0], None)) timelog['project'] = (np.where(timelog['description'].str.contains(': '), timelog['description'].str.split(': ', n=1).str[0], None))
timelog['description'] = (np.where(timelog['description'].str.contains(': '), timelog['description'].str.split(': ', 1).str[1], timelog['description'])) timelog['description'] = (np.where(timelog['description'].str.contains(': '), timelog['description'].str.split(': ', n=1).str[1], timelog['description']))
# Mid-work clean up of description and new project. # Mid-work clean up of description and new project.
timelog['description'] = timelog['description'].str.strip() timelog['description'] = timelog['description'].str.strip()
@ -160,8 +160,8 @@ for preferred, alternatives in compound_project_tasks.items():
# If a compound project was specified, break that out into a sub-project (in # If a compound project was specified, break that out into a sub-project (in
# Harvest, we use Task, which is really task type, for this). # Harvest, we use Task, which is really task type, for this).
timelog['subproject'] = (np.where(timelog['project'].str.contains(' — '), timelog['project'].str.split(' — ', 1).str[1], None)) timelog['subproject'] = (np.where(timelog['project'].str.contains(' — '), timelog['project'].str.split(' — ', n=1).str[1], None))
timelog['project'] = (np.where(timelog['project'].str.contains(' — '), timelog['project'].str.split(' — ', 1).str[0], timelog['project'])) timelog['project'] = (np.where(timelog['project'].str.contains(' — '), timelog['project'].str.split(' — ', n=1).str[0], timelog['project']))
# Replace irregular-but-known project names with ones timetracking tools use. # Replace irregular-but-known project names with ones timetracking tools use.
harvest_project_names = { harvest_project_names = {