Bar chart with ticks based on multiple dataframe columns

How can I make a bar chart in matplotlib (or pandas) from the bins in my dataframe?

I want something like this, below, where the x-axis labels come from the low, high in my dataframe (so first tick would read [-1.089, 0) and the y value is the percent column in my dataframe.

Here is an example dataset. The dataset is already in this format (I don’t have an uncut version).

df = pd.DataFrame(
    {
        "low": [-1.089, 0, 0.3, 0.5, 0.6, 0.8],
        "high": [0, 0.3, 0.5, 0.6, 0.8, 10.089],
        "percent": [0.509, 0.11, 0.074, 0.038, 0.069, 0.202],
    }
)
display(df)

>Solution :

Create a new column using the the low, high cols.

Covert the int values in the low and high columns to str type and set the new str in the [<low>, <high>) notation that you want.

From there, you can create a bar plot dirrectly from df using df.plot.bar(), assigning the newly created column as x and percent as y.

https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.plot.bar.html