How to add value labels on a bar chart

Question

I'm creating a bar chart, and I can't figure out how to add value labels on the bars (in the center of the bar, or just above it). I believe the solution is either with 'text' or 'annotate', but I: a) don't know which one to use (and generally speaking, haven't figured out when to use which). b) can't see to get either to present the value labels. Here is my code: ``` import numpy as np import pandas as pd import matplotlib.pyplot as plt pd.set_option('display.mpl_style', 'default') %matplotlib inline # Bring some raw data. frequencies = [6, 16, 75, 160, 244, 260, 145, 73, 16, 4, 1] # In my original code I create a series and run on that, # so for consistency I create a series from the list. freq_series = pd.Series(frequencies) x_labels = [108300.0, 110540.0, 112780.0, 115020.0, 117260.0, 119500.0, 121740.0, 123980.0, 126220.0, 128460.0, 130700.0] # Plot the figure. plt.figure(figsize=(12, 8)) fig = freq_series.plot(kind='bar') fig.set_title('Amount Frequency') fig.set_xlabel('Amount…

Accepted Answer

Firstly `freq_series.plot` returns an axis not a figure so to make my answer a little more clear I've changed your given code to refer to it as `ax` rather than `fig` to be more consistent with other code examples.

You can get the list of the bars produced in the plot from the `ax.patches` member. Then you can use the technique demonstrated in this `matplotlib` gallery example to add the labels using the `ax.text` method.

```
import pandas as pd
import matplotlib.pyplot as plt

# Bring some raw data.
frequencies = [6, 16, 75, 160, 244, 260, 145, 73, 16, 4, 1]
# In my original code I create a series and run on that,
# so for consistency I create a series from the list.
freq_series = pd.Series(frequencies)

x_labels = [
    108300.0,
    110540.0,
    112780.0,
    115020.0,
    117260.0,
    119500.0,
    121740.0,
    123980.0,
    126220.0,
    128460.0,
    130700.0,
]

# Plot the figure.
plt.figure(figsize=(12, 8))
ax = freq_series.plot(kind="bar")
ax.set_title("Amount Frequency")
ax.set_xlabel("Amount ($)")
ax.set_ylabel("Frequency")
ax.set_xticklabels(x_labels)

rects = ax.patches

# Make some labels.
labels = [f"label{i}" for i in range(len(rects))]

for rect, label in zip(rects, labels):
    height = rect.get_height()
    ax.text(
        rect.get_x() + rect.get_width() / 2, height + 5, label, ha="center", va="bottom"
    )

plt.show()
```

This produces a labeled plot that looks like:

How to add value labels on a bar chart

Solution

Problem

Related problems