I would like to add a custom label above certain bars within this chart. How would I add labels to only bar 4 and bar 8 in this example:
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.from_array(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 = ["label%d" % i for i in xrange(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')
With this code I get a label above each bar. But I only want labels (with value 34 and 55, for example) above the fourth and eighth bar.
What is the best way to accomplish this?
Here is where I found this example: Adding value labels on a matplotlib bar chart