Format dataframe for Plotly graphs – Pandas python

I got a dataframe that has some columns, i need to use that data to plot a plotly line chart graph.

I need to transform it to this form.

I tried using PD.MELT and groupby but it didnt work.
Im trying to replicate something like this:

Plotly Graph that i need to replicate with my data.

Thanks!

>Solution :

data = {
    "ORIGEN": ["ORANGE", "ORANGE", "ORANGE", "APPLE", "APPLE", "APPLE"],
    "TIMESTAMP DATE": ["2023-02-03 00:00:00", "2023-02-03 00:00:00", "2023-02-10 00:00:00",
                       "2023-02-24 00:00:00", "2023-04-18 00:00:00", "2023-04-18 00:00:00"]
}

df = pd.DataFrame(data)
df["TIMESTAMP DATE"] = pd.to_datetime(df["TIMESTAMP DATE"])

# Transform the DataFrame
transformed_df = df.groupby(["ORIGEN", "TIMESTAMP DATE"]).size().reset_index(name="COUNT")

# Create a line chart using Plotly Express
fig = px.line(transformed_df, x="TIMESTAMP DATE", y="COUNT", color="ORIGEN")

# Show the plot
fig.show()