soramame.env.go.jp
import pathlib
import pandas as pd
pd.options.plotting.backend = "plotly"
df = pd.read_csv(
"https://soramame.env.go.jp/data/sokutei/NoudoTime/38201030/7day.csv",
dtype={
"SO2": float,
"NO": float,
"NO2": float,
"NOX": float,
"SPM": float,
"PM2.5": float,
"WD": object,
"WS": float,
},
na_values=["-", " "],
)
df.index = pd.to_datetime(
{"year": df["年"], "month": df["月"], "day": df["日"], "hour": df["時"]}
)
df.drop(["年", "月", "日", "時"], axis=1, inplace=True)
fig = df[["SO2", "NO", "NO2", "NOX"]].plot()
fig.show()
fig.write_html("plotly.html", include_plotlyjs = "cdn", full_html = True)
”””
p = pathlib.Path("plotly.html")
with p.open(mode="w") as f:
f.write(fig.to_html(include_plotlyjs="cdn"))
”””
import plotly.io as pio
pio.kaleido.scope.default_format = "png"
pio.kaleido.scope.default_width = 1400
pio.kaleido.scope.default_height = 1000
fig.write_image("table.png")