I have monthly sales for 5 years and I applied the following code In R to seasonal plot:
ggseasonplot(S5, year.labels=TRUE, year.labels.left=TRUE)
So how can I plot it using pythonic way?
import pandas as pd
import io, requests
import plotly.express as px
# use requests so that there are no issues with utf-8 encoding
df = pd.read_csv(
io.StringIO(
requests.get(
"https://raw.githubusercontent.com/joaolcorreia/RFM-analysis/master/sample-orders.csv"
).text
)
)
df["order_date"] = pd.to_datetime(df["order_date"])
px.line(
df.assign(
year=df["order_date"].dt.year,
month=df["order_date"].dt.month,
month_name=df["order_date"].dt.strftime("%b"),
)
.groupby(["year", "month", "month_name"], as_index=False)
.agg(value=("grand_total", "sum")),
x="month_name",
y="value",
color="year",
)