Avoiding interpolation for missing values for geom_line

[v--]

I have a daily time series and I want geom_line to only connect two data points if they belong to the same streak of days, i.e. if there is no day between them with missing data. This Stack Overflow question discusses something similar for ggplot2. Is there a way to achieve this using plotnine?

For example, is there a way to adapt the following code to produce a plot that does not attempt to connect 2 and 7?

import plotnine as p9
import pandas as pd


df = pd.DataFrame(
    data=[(x, x ** 2) for x in range(10) if x < 3 or x > 6],
    columns=['x', 'y']
)

p9.ggplot(df) + p9.aes(x='x', y='y') + p9.geom_line()

[has2k1]

geom_line connects lines that belong to the same group. So you have to manipulate the data such that lines in the same streak are in the same group.

import plotnine as p9
import pandas as pd

df = pd.DataFrame(
    data=[(x, x ** 2) for x in range(10) if x < 3 or x > 6],
    columns=['x', 'y']
)

# By walking along the difference between two consecutive values, we can
# categorise the streaks i.e. whenever the difference is not 1 then we have
# a new group.
group = []
g = 0
for d in df['x'].diff():
    if d != 1:
        g += 1   
    group.append(g)
    
df['group'] = group

p9.ggplot(df) + p9.aes(x='x', y='y', group='group') + p9.geom_line()

[v--]

This is a much more elegant solution than I hoped for. Thank you. I very much appreciate your work on this project.

PS: Does the project accept donations?

[has2k1]

There isn't an easy way to take donations. Though someone has donated by bank account through wise.com.