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JHU: Appease the linter #404

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Merged
merged 1 commit into from
Oct 29, 2020
Merged

JHU: Appease the linter #404

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2 changes: 1 addition & 1 deletion jhu/delphi_jhu/pull.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@ def download_data(base_url: str, metric: str) -> pd.DataFrame:
df = pd.read_csv(base_url.format(metric=metric))
# Keep the UID and the time series columns only
# The regex filters for columns with the date format MM-DD-YY or M-D-YY
df = df.filter(regex="\d{1,2}\/\d{1,2}\/\d{2}|UID").melt(
df = df.filter(regex=r"\d{1,2}\/\d{1,2}\/\d{2}|UID").melt(
id_vars=["UID"], var_name="timestamp", value_name="cumulative_counts"
)
df["timestamp"] = pd.to_datetime(df["timestamp"])
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2 changes: 0 additions & 2 deletions jhu/delphi_jhu/run.py
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Expand Up @@ -7,10 +7,8 @@
from datetime import datetime
from itertools import product
from functools import partial
from os.path import join

import numpy as np
import pandas as pd
from delphi_utils import (
read_params,
create_export_csv,
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