Change main plot legend label text

83,361

Solution 1

You need to gain access of the legend() object and use set_text() to change the text values, a simple example:

plt.plot(range(10), label='Some very long label')
plt.plot(range(1,11), label='Short label')
L=plt.legend()
L.get_texts()[0].set_text('make it short')
plt.savefig('temp.png')

enter image description here

In your case, you are changing the first item in the legend, I am quite sure the 0 index in L.get_texts()[0] applies to your problem too.

Solution 2

Another way:

ax.legend(labels=mylabels)

Solution 3

The answer by ksindi works for setting the labels, but as some others commented, it can break the legend colours when used with seaborn (in my case a scatterplot: the dots and text didn't line up properly anymore). To solve this, also pass the handles to ax.legend.

# the legend has often numbers like '0.450000007', the following snippet turns those in '0.45'
label_list = []
for t in ax.get_legend_handles_labels():
    # the first result will be all handles, i.e. the dots in the legend
    # the second result will be all legend text
    label_list.append(t)

new_list = []
for txt in label_list[1]:
    if txt[0] == '0':
        txt = str(txt)[:4]
    new_list.append(txt)
label_list[1] = new_list

ax.legend(handles=label_list[0], labels=label_list[1])

(I would have posted this as a comment, but don't have enough reputation yet)

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83,361
N.K.
Author by

N.K.

Updated on July 09, 2022

Comments

  • N.K.
    N.K. almost 2 years

    So far I have been able to label the subplots just fine but I'm having an issue with the main one.

    Here's the relevant part of my code:

    data_BS_P = data[channels[0]]
    data_BS_R = data[channels[1]]
    data_BS_Y = data[channels[2]]
    plot_BS_P = data_BS_P.plot() #data_BS_P is a pandas dataframe
    axBS = plot_BS_P.gca()
    axBS.plot(data_BS_R, label='Roll')
    axBS.plot(data_BS_Y, label='Yaw')
    axBS.set_ylabel('Amplitude (urad)')
    axBS.legend(loc='upper center', bbox_to_anchor=(0.5, 1.05), ncol=3,
                fancybox=True, shadow=True)
    ml1 = MultipleLocator(10)
    ml2 = MultipleLocator(3600)
    axBS.yaxis.set_minor_locator(ml1)
    axBS.xaxis.set_minor_locator(ml2)
    plot_BS_P.save('L1-SUS-BS_M1_DAMP_PRY_INMON.jpg')
    

    And this is what I have so far: enter image description here Notice the lengthy label for the blue line. I'd like that to be labeled as "Pitch" instead of the file name. In which line can I do that?

  • KobeJohn
    KobeJohn about 8 years
    This was by far the easiest way presented here for my use case. Thank you.
  • Quetzalcoatl
    Quetzalcoatl almost 6 years
    equivalently, if ax isn't explicitly defined then of course plt.legend(labels=my_labels) where my_labels is a list.
  • Arcturus B
    Arcturus B over 5 years
    In interactive mode, add plt.gcf().canvas.draw() to redraw the figure with the new label. (In the provided example, plt.savefig updates the figure before it is saved.)
  • rovyko
    rovyko about 5 years
    This broke the legend patch colors when used on boxplots made with seaborn.
  • Mehdi Golzadeh
    Mehdi Golzadeh over 4 years
    I used it but it does not preserve the colors I don't know why...
  • 2diabolos.com
    2diabolos.com over 3 years
    a bit shorter : L.texts[0]..set_text('shorter')
  • climatestudent
    climatestudent over 2 years
    Can't get this to work with xarray.DataArray.plot.line()