How could I format the bar labels to remove the scientific notation?
highest_enrollment = course_data.groupby( "course_organization")["course_students_enrolled"].sum().nlargest(10) ax = sns.barplot(x=highest_enrollment.index, y=highest_enrollment.values, ci=None, palette="ch: s=.5, r=-.5") ax.ticklabel_format(style='plain', axis="y") plt.xticks(rotation=90) ax.bar_label(ax.containers[0]) plt.show()
Advertisement
Answer
As already suggested by BigBen in the comment, you can pass fmt
parameter to matplotlib.axes.Axes.bar_label
; you can use %d
for integers:
import matplotlib.pyplot as plt import seaborn as sns import pandas as pd highest_enrollment = pd.DataFrame({'class': ['A', 'B', 'C'], 'values': [30000000, 20000000, 10000000]}) ax = sns.barplot(data = highest_enrollment, x = 'class', y = 'values', palette="ch: s=.5, r=-.5") ax.ticklabel_format(style='plain', axis="y") plt.xticks(rotation=90) ax.bar_label(ax.containers[0], fmt = '%d') plt.show()