CODEWITHSUNDEEP
pythonmatplotlibplot
jxn
jxn

Reputation: 8025

plot a bar chart using matplotlib - type error

I am trying to plot a frequency distribution (of occurences of words and their frequency)

This is my code:

import matplotlib.pyplot as plt

y = [1,2,3,4,5]
x = ['apple', 'orange', 'pear', 'mango', 'peach']

plt.bar(x,y)
plt.show

However, i am getting this error:

TypeError: cannot concatenate 'str' and 'float' objects

Upvotes: 6

Views: 4386

Answers (2)

Belter
Belter

Reputation: 3807

Just add two lines:

import matplotlib.pyplot as plt
y = [1, 2, 3, 4, 5]
x_name = ['apple', 'orange', 'pear', 'mango', 'peach']
x = np.arange(len(x_name))  # <--
plt.bar(x, y)
plt.xticks(x, x_name)  # <--
plt.show()

enter image description here

Plot plt.bar(x_name, y) directly will be supported in v2.1, see here https://github.com/matplotlib/matplotlib/issues/8959

Upvotes: 2

Moritz
Moritz

Reputation: 5408

import matplotlib.pyplot as plt
import numpy as np
y = [1,2,3,4,5]
x = np.arange(0,len(y)) + 0.75
xl = ['', 'apple', 'orange', 'pear', 'mango', 'peach']

fig = plt.figure()
ax = fig.add_subplot(111)
ax.bar(x,y,0.5)
ax.set_xticklabels(xl)
ax.set_xlim(0,5.5)

It would be interesting if there is a better method for setting the labels to be in the middle of the bars.

According to this SO post, there is a better solution:

import matplotlib.pyplot as plt
import numpy as np
y = [1,2,3,4,5]
# adding 0.75 did the trick but only if I add a blank position to `xl`
x = np.arange(len(y))
xl = ['apple', 'orange', 'pear', 'mango', 'peach']

fig = plt.figure()
ax = fig.add_subplot(111)
ax.bar(x,y,0.5, align='center')
ax.set_xticks(x)
ax.set_xticklabels(xl)

Upvotes: 6

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