![]() Green_line = mlines. The following works: # Create custom legendīlue_line = mlines.Line2D(,, color='blue',markersize=15, label='Blue line') labels are a sequence of strings, handles is a sequence of Line2D or Patch instances. The error you are getting is because Figure.legend requires you to pass it both the handles and the labels. Matplotlib (python) - create single custom legend for multiple plots WITHOUT pyplot # De-duplicate all legend entries based on their label }, index=date_range('2007-12', freq='7D', periods=200))Īx = df.plot(color=)īlue_x_coords = to_datetime()īlack_x_coords = to_datetime()īlue_vline = ax.axvline(x=xc, color="blue", linestyle="dashed", label="Long Entry points")īlack_vline = ax.axvline(x=xc, color="black", linestyle="dashed", label="Short Entry points") ![]() 'Manual Strategy Portfolio': rng.uniform(-.1. from matplotlib.pyplot import subplots, showįrom pandas import DataFrame, date_range, to_datetimeįrom matplotlib.dates import DateFormatter From there we simply call ax.legend with the corresponding handles and labels. You can do this by simply specifying the legend yourself instead of relying on pandas to do it for you.Įach call to ax.axvline will add another entry to your legend, so the only trick we'll need to do is deduplicate legend entries who share the same label. adding legend to lineplot according to maplotlib's axvspan ![]() Additionally, I would suggest to use the matplotlib's object-oriented API: import numpy as npįor further information on how legend works, visit the documentation. In you example, you forgot the () at the end end of the function call to legend. How to get a legend for a graph using Python/matplotlib In your case: ax.plot(month, z, label="Probable Forecast")Īx.fill_between(month, x, y, color='b', alpha=.3, label="Confidence Interval") You can of course use another value than 50 if it suits you better. Otherwise, in your case, you can just add the label argument and name it the way you want, and the legend should be updated automatically. Just go to line 68 in Legend.cpp and change it to 'const int symbolLineLength symbolsMaxLineLength () + 50 '. The matplotlib documentation often suggests to use proxy artists. I picked a with no fill and 0 linewdith below, but you could use any supported artist.įor example, let's say you have 4 bar objects (since you didn't post the code used to generate the graph, I can't reproduce it exactly). Use a dummy object (aka a "proxy artist") for your extra string. ax.legend() has a two argument form that accepts a list of objects (handles) and a list of strings (labels). Since I only needed this a few times, I manually generated the legend as an image (legend. Slightly modified from this tutorial: Is it possible to add a string as a legend item in matplotlib If the width is reduced, fewer columns will be used until only one column of entries is visible.Adding a legend to PyPlot in Matplotlib in the simplest manner possibleĪdd a label= to each of your plot() calls, and then call legend(loc='upper left').Ĭonsider this sample (tested with Python 3.8.0): import numpy as np If the width is increased, more columns will be used to display the legend entries. The legend can also be adjusted widthwise. The legend can be adjusted lengthwise to show more or fewer rows. Use the handles on the edges of the card to resize the legend.You can also remove the legend title using the Hide button. Click the legend title to make it editable.Drag the corners and edges to resize the card so that the legend fits appropriately.Click the close button to close the Appearance pane.Change the label position in relation to the symbol icon, or hide or show the count on the legend.The border style None removes the border. In the pane, change the Border color, Border width, and Border style options.Click the no fill button next to the hex code box to remove the background. Expand the background color palette and choose a color, either on the palette or using the hex code, or change the transparency of the card.The Appearance pane appears on the Color options tab.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |