How to change the opacity of a plot using Matplotlib
• 1 minChanging the opacity of plot can be extremely useful when you want to compare multiple features, especially when your plot is crowded.
Here is a simple example of a line plot, using the matplotlib library.
import matplotlib.pyplot as plt
import pandas as pd
# We create our dataframe
df = pd.DataFrame(index=range(0,10), data={"col1" : range(0,10)})
fig, axes = plt.subplots(1,1, figsize=(8,6))
# We do a line plot on the axes
axes.plot(df.index,
df["col1"],
alpha=0.5) # see the alpha
# Fixing the layout to fit the size
fig.tight_layout()
# Showing the plot
plt.show()As you can see we use the alpha parameter that specify the opacity of the plot which has as value [0,1] (e.g. 0.5).
Here you are ! you now know how to set the opacity of a plot using Matplotlib.
