Aka*_*mar 28 python data-visualization plotly plotly-dash plotly-python
如何更改绘图中的 x 和 y 轴标签,因为在 matplotlib 中,我可以简单地使用plt.xlabel但无法在绘图中执行此操作。
通过在数据框中使用此代码:
Date = df[df.Country=="India"].Date
New_cases = df[df.Country=="India"]['7day_rolling_avg']
px.line(df,x=Date, y=New_cases, title="India Daily New Covid Cases")
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我得到这个输出:
在此X和Y轴标记为X和Y中,如何将X和Y轴的名称更改为“日期”和“案例”
Rob*_*ond 45
update_layout(
xaxis_title="Date", yaxis_title="7 day avg"
)
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import pandas as pd
import io, requests
df = pd.read_csv(
io.StringIO(
requests.get(
"https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/vaccinations/vaccinations.csv"
).text
)
)
df["Date"] = pd.to_datetime(df["date"])
df["Country"] = df["location"]
df["7day_rolling_avg"] = df["daily_people_vaccinated_per_hundred"]
Date = df[df.Country == "India"].Date
New_cases = df[df.Country == "India"]["7day_rolling_avg"]
px.line(df, x=Date, y=New_cases, title="India Daily New Covid Cases").update_layout(
xaxis_title="Date", yaxis_title="7 day avg"
)
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