[英]How to change the x-axis and y-axis labels in plotly?
How can I change the x and y-axis labels in plotly because in matplotlib, I can simply use plt.xlabel but I am unable to do that in plotly.如何更改 plotly 中的 x 和 y 轴标签,因为在 matplotlib 中,我可以简单地使用plt.xlabel ,但在 plotly 中无法做到这一点。
By using this code in a dataframe:通过在 dataframe 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")
I get this output:我得到这个 output:
In this X and Y axis are labeled as X and Y how can I change the name of X and Y axis to "Date" and "Cases"在这个X和Y轴标记为X和Y我如何将X和Y轴的名称更改为“日期”和“案例”
update_layout(
xaxis_title="Date", yaxis_title="7 day avg"
)
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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