histogram graph line style in matplotlib

30,077

Solution 1

Have you imported all the libraries you need? Also, sometimes not all linestyles are available to all plot types. There are linestyles that work for plots that do not work on vectors (even though they look like they should), for example. When the symbol name does not work '--' it is a good idea to try the named version 'dashed'.

You can provide a tuple of linestyles (or colors, widths, etc.) in the plot argument much like how it is done for linewidths on this example from the matplotlib docs (Ctrl+F for linewidths)

Using your plot command, it should look like:

plt.hist(data1,bins=40,normed=True,histtype='step',linestyle=('solid','dashed'))

There is a color argument you can specify just like how linestyle was done. When the lines are plotted, pyplot looks at the first item in each tuple you provide. So if you wanted a solid black line and a dashed yellow line it would look like

plt.hist(data1,bins=40,normed=True,histtype='step',linestyle=('solid','dashed'),color=('black','k'))

So 'solid' should pair with 'black' and 'dashed' should pair with 'k'. This should work for any other line properties you want to use.

Solution 2

The edgecolor parameter worked on mine.

plot.hist (bins = 10, xlim = [0.0,1], ylim = [0.0,70], color = 'blue', edgecolor = 'black')
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wdg
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wdg

Updated on July 18, 2022

Comments

  • wdg
    wdg almost 2 years

    I need to plot two histograms in the same figure and there is overlapping. I use command like

    plt.hist(data1,bins=40,normed=True,histtype='step')
    plt.hist(data2,bins=40,normed=True,histtype='step')
    

    To distinguish these two different histograms (need to present them in black and white), I want to make one of them appear in dashed line instead of solid line, so I tried

    plt.hist(data1,bins=40,normed=True,histtype='step',ls='--')
    

    which gave me the following error message:

    Exception in Tkinter callback
    Traceback (most recent call last):
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/tkinter/__init__.py", line 1475, in __call__
        return self.func(*args)
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/tkinter/__init__.py", line 534, in callit
        func(*args)
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/backends/backend_tkagg.py", line 363, in idle_draw
        self.draw()
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/backends/backend_tkagg.py", line 348, in draw
        FigureCanvasAgg.draw(self)
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/backends/backend_agg.py", line 451, in draw
        self.figure.draw(self.renderer)
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/artist.py", line 56, in draw_wrapper
        draw(artist, renderer, *args, **kwargs)
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/figure.py", line 1035, in draw
        func(*args)
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/artist.py", line 56, in draw_wrapper
        draw(artist, renderer, *args, **kwargs)
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/axes.py", line 2088, in draw
        a.draw(renderer)
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/artist.py", line 56, in draw_wrapper
        draw(artist, renderer, *args, **kwargs)
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/patches.py", line 401, in draw
        gc.set_linestyle(self._linestyle)
      File "/opt/local/Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/backend_bases.py", line 962, in set_linestyle
        raise ValueError('Unrecognized linestyle: %s' % str(style))
    ValueError: Unrecognized linestyle: --
    

    My question is, how can I change the line style (solid/dashed and color)? Or is there an alternative way to plot these two histograms with desired line styles?

  • wdg
    wdg over 10 years
    setting linestyle=('dashed') does work. Since you mentioned about the color, how can I set the color in this way? I tried linestyle=('dahsed','black') and linestyle=('dashed','k') but they didn't work.
  • gfritz
    gfritz over 10 years
    Tried to comment it down here, decided to update answer instead.
  • wdg
    wdg over 10 years
    I think you can structure your answer better (like writing separate commands for data1 and data2), but I accepted your answer anyway.