Adding data labels to a horizontal bar chart in matplotlib [duplicate]

Question

I am trying to add data labels to a horizontal bar chart. The data looks something like this,

Category = ['Communication',
 'Entertainment',
 'Family Support',
 'Food',
 'Healthcare',
 'House Rent',
 'Lending',
 'Transportation']

Cost = [-3100, -1299, -15000, -9127, -5000, -12000, -1000, -2100]

plt.barh(df['Category'], df['Cost'])

I want data labels at the end of each bar in the image above. Please help!

Does this answer your question? Adding value labels on a matplotlib bar chart — Mohammad Khoshbin
– Mohammad Khoshbin, Commented Dec 12, 2021 at 17:42

coldy · Accepted Answer · 2021-12-12 18:06:29Z

1

Adding xlabel and ylabel should solve,

plt.xlabel("Cost")
plt.ylabel("Category")

You might also want to create the dataframe:

import pandas as pd
df = {}
df["Category"] = Category
df["Cost"] = Cost
df = pd.DataFrame.from_dict(df)

For adding the data value of each of the bar you can modify your code as follows:

# First make a subplot, so that axes is available containing the function bar_label.
fig, ax = plt.subplots()
g=ax.barh(df['Category'], df['Cost'])
ax.set_xlabel("Cost")
ax.set_ylabel("Category")
ax.bar_label(g, label_type="center") # This provides the labelling, this only available at higher version. You can do pip install -U matplotlib
plt.show()

Reference:

Output:
Output

edited Dec 12, 2021 at 18:06

answered Dec 12, 2021 at 17:45

coldy

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2 Comments

Salahuddin Over a year ago

Hello! Thank you for your response. However, I am looking to add data labels to the bars and not x and y labels.

coldy Over a year ago

Hello, I have updated the answer, as you can see data values within each bar now. There are more operations to them such as padding which you can refer from the original documentation.

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