I need to create a line chart from multiple columns of a dataframe. In pandas, you can draw a multiple line chart using a code as follows:
df.plot(x='date', y=['sessions', 'cost'], figsize=(20,10), grid=True)
How can this be done using plotly_express?
With version 4.8 of Plotly.py, the code in the original question is now supported almost unmodified:
pd.options.plotting.backend = "plotly"
df.plot(x='date', y=['sessions', 'cost'])
Previous answer, as of July 2019
For this example, you could prepare the data slightly differently.
df_melt = df.melt(id_vars='date', value_vars=['sessions', 'cost'])
If you transpose/melt your columns (sessions, cost) into additional rows, then you can specify the new column 'variable' to partition by in the color parameter.
px.line(df_melt, x='date' , y='value' , color='variable')