CODEWITHSUNDEEP
pythonmatplotlib
Charles Brunet
Charles Brunet

Reputation: 23110

Writing numerical values on the plot with Matplotlib

Is it possible, with Matplotlib, to print the values of each point on the graph?

For example, if I have:

x = numpy.range(0,10)
y = numpy.array([5,3,4,2,7,5,4,6,3,2])
pyplot.plot(x,y)

How can I display y values on the plot (e.g. print a 5 near the (0,5) point, print a 3 near the (1,3) point, etc.)?

Upvotes: 65

Views: 194863

Answers (3)

mfundo_debug
mfundo_debug

Reputation: 11

Current way of displaying values on the bar graph using plt.text() would be

import numpy as np
import matplotlib.pyplot as plt

x = np.arange(10)
y = np.array([5,3,4,2,7,5,4,6,3,2])
#for modifying figsize
fig, ax = plt.subplots(figisize=(8,12))
ax.bar(x,y)
for i, j in zip(x,y):
    ax.text(i,j, str(j), ha='center', va='bottom')
plt.xlabel('x')
plt.ylabel('y')
plt.show()

hope that helps

Upvotes: 1

Marvin W
Marvin W

Reputation: 3523

Use pyplot.text() (import matplotlib.pyplot as plt)

import matplotlib.pyplot as plt

x=[1,2,3]
y=[9,8,7]

plt.plot(x,y)
for a,b in zip(x, y): 
    plt.text(a, b, str(b))
plt.show()

Upvotes: 33

Stephen Terry
Stephen Terry

Reputation: 6279

You can use the annotate command to place text annotations at any x and y values you want. To place them exactly at the data points you could do this

import numpy
from matplotlib import pyplot

x = numpy.arange(10)
y = numpy.array([5,3,4,2,7,5,4,6,3,2])

fig = pyplot.figure()
ax = fig.add_subplot(111)
ax.set_ylim(0,10)
pyplot.plot(x,y)
for i,j in zip(x,y):
    ax.annotate(str(j),xy=(i,j))

pyplot.show()

If you want the annotations offset a little, you could change the annotate line to something like

ax.annotate(str(j),xy=(i,j+0.5))

Upvotes: 97

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