# %%
from pandas import read_csv, to_datetime

df = read_csv('data-1780946658143.csv')

# %%
df.head()

# %%
# normalize timestamp to naive "yyyy-MM-dd HH:mm:ss" (drop the "+00" UTC offset)
df['timestamp'] = to_datetime(df['timestamp'], utc=True).dt.tz_localize(None)
df['timestamp'] = df['timestamp'].dt.strftime('%Y-%m-%d %H:%M:%S')

# %%
# pivot the dataframe
df = df.pivot(index='timestamp', columns='variable', values='value')

# %%
df.head()


# %%
df.to_csv('data-1780946658143-pivot.csv')
# %%