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.
By using this code in a dataframe:
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:
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”
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Answer
- simple case of setting axis title
update_layout( xaxis_title="Date", yaxis_title="7 day avg" )
full code as MWE
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" )