import pygwalker as pyg
import pandas as pd

df = pd.read_csv("https://kanaries-app.s3.ap-northeast-1.amazonaws.com/public-datasets/bike_sharing_dc.csv")

pyg.component(df).bar().encode(x="season", y="sum(casual)")

component = pyg.component(df)
component_0 = component.encode(x="season", y="sum(casual)")

component_0.bar()

component_0.area()

component_0.line()

component_0.trail()

component.scatter().encode(x="feeling_temp", y="temperature", color="humidity")

component.circle().encode(x="feeling_temp", y="temperature", color="humidity")

(
component
 .rect()
 .encode(x='bin("feeling_temp", 6)', y='bin("temperature", 6)', color="MEAN(humidity)")
 .layout(height=400, width=460)
)

component.arc().encode(theta="SUM(registered)", color="season")

component_0.bar().explorer()

component_0.profiling()