CODEWITHSUNDEEP
pythonpandasmatplotlibplotstring-formatting
Markus
Markus

Reputation: 518

Format tick labels in a pandas.DataFrame.plot() without importing matplotlib

Is it possible to format the tick labels in a pandas.DataFrame.plot() without importing the matplotlib.ticker library?

I've come to realise that pandas has many native functions I'm unaware of and I like to use them where possible — if only to simplify my code. And yes, pandas leans on matplotlib anyway, but I want to know to what extent I can style plots without directly invoking matplotlib functions.

For example, can I change the tick labels on this chart to percentages without matplotlib.ticker.Percentformatter()?

import pandas as pd
import numpy as np
import matplotlib as plt

df = pd.DataFrame(columns=["value"], data=np.random.rand(5))
ax = df.plot.barh()
ax.xaxis.set_major_formatter(plt.ticker.PercentFormatter(1))
plt.show()

bar pot

Upvotes: 0

Views: 1878

Answers (1)

akocz
akocz

Reputation: 138

You can set a custom function as a string formatter with set_major_formatter.

For example:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

df = pd.DataFrame(columns=["value"], data=np.random.rand(5))
ax = df.plot.barh()
func = lambda x, pos: f"{int(x*100)}%"
ax.xaxis.set_major_formatter(func)
plt.show()

Figure

Upvotes: 1

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