Packages
The easiest way to create bump charts is to use the bumplot package that you can install with:
pip install bumplot
import pandas as pd
import matplotlib.pyplot as plt
from bumplot import bumplotBasic bump chart
from bumplot import bumplot
data = pd.DataFrame(
{
"x": [2020, 2021, 2022, 2023],
"A": [10, 50, 20, 80],
"B": [40, 30, 60, 10],
"C": [90, 20, 70, 40],
}
)
bumplot(x="x", y_columns=["A", "B", "C"], data=data)<Axes: >
Customization
import pandas as pd
import matplotlib.pyplot as plt
from bumplot import bumplot
data = pd.DataFrame(
{
"x": [2020, 2021, 2022, 2023],
"A": [10, 50, 20, 80],
"B": [40, 30, 60, 10],
"C": [90, 20, 70, 40],
}
)
fig, ax = plt.subplots(figsize=(8, 4))
bumplot(
x="x",
y_columns=["A", "B", "C"],
data=data,
curve_force=0.5,
plot_kwargs={"lw": 4},
scatter_kwargs={"s": 150, "ec": "black", "lw": 2},
colors=["#ffbe0b", "#ff006e", "#3a86ff"],
)
ax.legend()
ax.spines[["top", "right", "left", "bottom"]].set_visible(False)
ax.grid(alpha=0.4)
Going further
You might be interested in different ways to represent time series
