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39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
import os
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import pandas as pd
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from pandas.errors import EmptyDataError
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from dashboard_components.signals_file_base import SignalsFileBase
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from utils import break_file_path
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class SignalsFile(SignalsFileBase):
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def __init__(self, csv_path, load=True, plot=None):
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super().__init__(plot)
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self.full_csv_path = csv_path
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self.dir, self.filename, _ = break_file_path(csv_path)
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if load:
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self.load()
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# this helps set the correct x axis
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self.change_averaging_window(1, force=True)
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def load_csv(self):
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# load csv and fix sparse data.
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# csv can be in the middle of being written so we use try - except
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self.csv = None
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while self.csv is None:
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try:
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self.csv = pd.read_csv(self.full_csv_path)
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break
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except EmptyDataError:
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self.csv = None
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continue
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self.csv = self.csv.interpolate()
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self.csv.fillna(value=0, inplace=True)
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self.csv['Wall-Clock Time'] /= 60.
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self.last_modified = os.path.getmtime(self.full_csv_path)
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def file_was_modified_on_disk(self):
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return self.last_modified != os.path.getmtime(self.full_csv_path) |