Let's say that I have the following code, which comes from here :
gender = ['male','male','female','male','female']
import matplotlib.pyplot as plt
from collections import Counter
c = Counter(gender)
men = c['male']
women = c['female']
bar_heights = (men, women)
x = (1, 2)
fig, ax = plt.subplots()
width = 0.4
ax.bar(x, bar_heights, width)
ax.set_xlim((0, 3))
ax.set_ylim((0, max(men, women)*1.1))
ax.set_xticks([i+width/2 for i in x])
ax.set_xticklabels(['male', 'female'])
plt.show()
How could the categories male
and female
be plotted on the y-axis, as opposed to the x-axis?
Perhaps you're looking for barh
:
gender = ['male','male','female','male','female']
import matplotlib.pyplot as plt
from collections import Counter
c = Counter(gender)
men = c['male']
women = c['female']
bar_heights = (men, women)
y = (1, 2)
fig, ax = plt.subplots()
width = 0.4
ax.barh(y, bar_heights, width)
ax.set_ylim((0, 3))
ax.set_xlim((0, max(men, women)*1.1))
ax.set_yticks([i+width/2 for i in y])
ax.set_yticklabels(['male', 'female'])
plt.show()
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