Plots: How to draw multiple plots with colors based on conditions?

Structurally, your approach seems fine. But some details may cause some problems. df.iloc[-1] >= 5Can throw an error quickly, so I'll use that dfx.iloc[-1].values >= 5instead. A subset of your dataframe doesn't work either. When you subset a dataframe column by column, you usually get a pandas series instead of a pandas dataframe. And their properties are not the same. With these details in mind, I've put together the following code to produce the following chart, for example, by calling the following code plots[2].show():

plot 1

Give it a try and let me know how it works for you.

Complete code:

import plotly.express as px
import pandas as pd

df = pd.DataFrame({'A': [3, 1, 2, 3],
                   'B': [5, 6, 7, 8],
                   'C': [2, 1, 6, 3]})

plots = {}

for i, col in enumerate(df.columns):
    dfx = df[col].to_frame()
    print(dfx)
    if dfx.iloc[-1].values >= 5:
        plots[i] = px.scatter(df, color_discrete_sequence=["red"], x=df[col].index, y=df[col])
    else:
        plots[i] = px.scatter(df, color_discrete_sequence=["blue"], x=df[col].index, y=df[col])

plots[2].show()