How to specify values for my x axis using matplotlib.pyplot?

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How to specify values for my x axis using matplotlib.pyplot?

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#1 by (1 votes)

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I am not able to specify values on my x axis, using matplotlib.pyplot.

In some images, chart.xticks(years) solves the problem, but it seems that when the x-axis value set is too small, it uses default values [0,1,2, ..., N]

A case that works:

Acasethatdoesnotwork:

My code so far:

import matplotlib.pyplot as chart
from matplotlib import lines

   # Settings
    chart.title(file_name)
    chart.xlabel('Years')
    chart.ylabel('Committers/Contributions')
    chart.ylim([0,highest_value + 100])
    chart.xlim(first_year,2017)

    # Values
    committer_line = chart.plot(committers_dict.keys(),committers_dict.values(),'r',label='Committer')
    contribution_line = chart.plot(contributions_dict.keys(),contributions_dict.values(),'b--',label='Contribution')
    years = list(range(first_year,2017))
    chart.xticks(years)

    # Legend
    chart.legend()

    # Show/Save
    chart.savefig(images_path + file_name.replace('.txt','-commiter-contribution.eps'), format='eps')
    chart.show()

python matplotlib

asked by anonymous 21.03.2016 / 03:07

1 answer

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score 1 · Accepted Answer

The matplotlib values are correct simply in scientific notation. It is possible to turn off scientific notation but may give rise to other problems (such as having overlapping text). A more definitive solution is to indicate the strings of your labels (in the ticks), as well as positions (and I suggest rotation). A good solution is:

import matplotlib.pyplot as chart
from matplotlib import lines
import random

# dados gerados para esta soluçao
first_year = 2011
x1 = range(first_year,2017+1)
y1 = [random.randint(0,1100) for i in range(len(x1))]
y2 = [random.randint(0,1100) for i in range(len(x1))]
highest_value = max([max(y1),max(y2)])
file_name = 'Titulo'

# Settings
chart.title(file_name)
chart.xlabel('Years')
chart.ylabel('Committers/Contributions')
chart.ylim([0,highest_value + 100])
chart.xlim(first_year,2017)

# Values
committer_line = chart.plot(x1,y1,'r',label='Committer')
contribution_line = chart.plot(x1,y2,'b--',label='Contribution')
years = list(range(first_year,2017))
chart.xticks(years,[str(i) for i in years],rotation=45) # Usa isto para definires as tuas labels

# Legend
chart.legend()

# Show/Save
#chart.savefig(images_path + file_name.replace('.txt','-commiter-contribution.eps'), format='eps')
chart.show()

, which gives rise to this chart:

To respond directly to your question (if you do not want to use the above suggestion) to disconnect the scientific notation you can do:

ax.get_xaxis().get_major_formatter().set_scientific(False)

, where ax could be constructed as follows (among others):

ax = plt.gca()
ax.get_xaxis().get_major_formatter().set_useOffset(False)

You would also have to call your plot from ax .