CODEWITHSUNDEEP
pythonmatplotlib
Balu Varanasi
Balu Varanasi

Reputation: 193

How to set x-axis labels on a figure plotted using matplotlib's pyplot?

I'm trying to plot sales and expenses values (on y-axis) over years (on x-axis) as given below. I'm expecting that the following code will set 2004, 2005, 2006 and 2007 as x-axis values. But, it is not showing as expected. See the image attached below. Let me know how to set the years values correctly on x-axis.

import matplotlib.pyplot as plt
years = [2004, 2005, 2006, 2007]
sales = [1000, 1170, 660, 1030]
expenses = [400, 460, 1120, 540]
plt.plot(years, sales)
plt.plot(years, expenses)
plt.show()

enter image description here

Upvotes: 2

Views: 3044

Answers (2)

oz123
oz123

Reputation: 28848

This would also do the work, in a different way:

fig=plt.figure()
ax = fig.add_subplot(111)

years = [2004, 2005, 2006, 2007]

sales = [1000, 1170, 660, 1030]


ax.plot(years, sales)
ax.xaxis.set_major_formatter(matplotlib.ticker.FormatStrFormatter('%d'))

plt.show()

Upvotes: 4

papafe
papafe

Reputation: 3070

The following piece of code should work for you

 import matplotlib.pyplot as plt
 import matplotlib.dates as mdates
 import datetime as dt

 years = [2004, 2005, 2006, 2007]

 sales = [1000, 1170, 660, 1030]

 expenses = [400, 460, 1120, 540]


 x = [dt.datetime.strptime(str(d),'%Y').date() for d in years]


 plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
 plt.gca().xaxis.set_major_locator(mdates.YearLocator())
 plt.plot(x, sales)
 plt.plot(x, expenses)
 plt.gcf().autofmt_xdate()
 plt.show()

Upvotes: 1

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