Python Error Bars Plot
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Plt.errorbar Documentation
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Error Bars in Python How to add error-bars to charts in Python with Plotly. matplotlib Python plotly.js Pandas node.js MATLAB New to Plotly?¶Plotly's Python library is free and open source! Get http://matplotlib.org/1.2.1/examples/pylab_examples/errorbar_demo.html started by downloading the client and reading the primer. You can set up Plotly to work in online or offline mode, or in jupyter notebooks. We also have a quick-reference cheatsheet (new!) to help you get started! Basic Symmetric Error Bars¶ In[1]: import plotly.plotly as py import plotly.graph_objs as go data = [ go.Scatter( x=[0, 1, 2], y=[6, 10, 2], error_y=dict( type='data', https://plot.ly/python/error-bars/ array=[1, 2, 3], visible=True ) ) ] py.iplot(data, filename='basic-error-bar') Out[1]: Asymmetric Error Bars¶ In[2]: import plotly.plotly as py import plotly.graph_objs as go data = [ go.Scatter( x=[1, 2, 3, 4], y=[2, 1, 3, 4], error_y=dict( type='data', symmetric=False, array=[0.1, 0.2, 0.1, 0.1], arrayminus=[0.2, 0.4, 1, 0.2] ) ) ] py.iplot(data, filename='error-bar-asymmetric-array') Out[2]: Error Bars as a Percentage of the y Value¶ In[3]: import plotly.plotly as py import plotly.graph_objs as go data = [ go.Scatter( x=[0, 1, 2], y=[6, 10, 2], error_y=dict( type='percent', value=50, visible=True ) ) ] py.iplot(data, filename='percent-error-bar') Out[3]: Asymmetric Error Bars with a Constant Offset¶ In[4]: import plotly.plotly as py import plotly.graph_objs as go data = [ go.Scatter( x=[1, 2, 3, 4], y=[2, 1, 3, 4], error_y=dict( type='percent', symmetric=False, value=15, valueminus=25 ) ) ] py.iplot(data, filename='error-bar-asymmetric-constant') Out[4]: Horizontal Error Bars¶ In[5]: import plotly.plotly as py import plotly.graph_objs as go data = [ go.Scatter( x=[1, 2, 3, 4], y=[2, 1, 3, 4], error_x=dict( type='percent', value=10 ) ) ] py.iplot(data, filename='error-bar-horizontal') Out[5]: Bar Chart with Error Bars¶ In[]: import plotly.plotly as py import plotly.graph_objs as go trace1 = go.Bar( x=['Trial 1', 'Trial 2', 'Trial
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and http://stackoverflow.com/questions/18498742/how-do-you-make-an-errorbar-plot-in-matplotlib-using-linestyle-none-in-rcparams policies of this site About Us Learn more about Stack Overflow the http://stackoverflow.com/questions/21912197/settting-different-error-bar-colors-in-bar-plot-in-matplotlib company Business Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 6.2 million programmers, just like you, helping each other. Join them; it only takes error bars a minute: Sign up How do you make an errorbar plot in matplotlib using linestyle=None in rcParams? up vote 5 down vote favorite 3 When plotting errorbar plots, matplotlib is not following the rcParams of no linestyle. Instead, it's plotting all of the points connected with a line. Here's a minimum working example: import matplotlib.pyplot as plt lines = {'linestyle': 'None'} errorbar no line plt.rc('lines', **lines) plt.errorbar((0, 1), (1, 0), yerr=(0.1, 0.1), marker='o') plt.savefig('test.pdf') plt.delaxes() Is the only solution to explicitly set linestyle='None' when calling pyplot.errorbar()? python matplotlib share|improve this question edited Aug 28 '13 at 21:44 jabaldonedo 10k23452 asked Aug 28 '13 at 21:42 drs 1,80021637 add a comment| 1 Answer 1 active oldest votes up vote 19 down vote accepted This is a "bug" in older versions of matplotlib (and has been fixed for the 1.4 series). The issue is that in Axes.errorbar there is a default value of '-' for fmt, which is then passed to the call to plot which is used to draw the markers and line. Because a format string is passed into plot in never looks at the default value in rcparams. You can also pass in fmt = '' eb = plt.errorbar(x, y, yerr=.1, fmt='', color='b') which will cause the rcParam['lines.linestlye'] value to be respected. I have submitted a PRto implement this. Another work around for this is to make the errorbar in two steps: l0, = plt.plot(x,y, marker='o', color='b') eb = plt.errorbar(x, y, yerr=.1, fmt=None, c
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 6.2 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Settting Different error bar colors in bar plot in matplotlib up vote 17 down vote favorite 2 Following Settting Different Bar color in matplotlib Python I would like to change the error bar colors. I have figured out a way after a number of attempts: a = plt.gca() b = a.bar(range(4), [2]*4, yerr=range(4)) c = a.get_children()[8] c.set_color(['r','r','b','r']) Is there any better way? Certainly a.get_children()[8] is not a general solution at all. python matplotlib share|improve this question asked Feb 20 '14 at 15:26 colinfang 5,11322571 add a comment| 2 Answers 2 active oldest votes up vote 31 down vote accepted If you just want to set them to a single color, use the error_kw kwarg (expected to be a dict of keyword arguments that's passed on to ax.errorbar). Also, just so you know, you can pass a sequence of facecolors directly to bar, though this won't change the errorbar color. As a quick example: import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.bar(range(4), [2] * 4, yerr=range(1, 5), alpha=0.5, color=['red', 'green', 'blue', 'cyan', 'magenta'], error_kw=dict(ecolor='gray', lw=2, capsize=5, capthick=2)) ax.margins(0.05) plt.show() However, if you want the errorbars to be different colors, you'll either need to plot them individually or modify them afterwards. If you use the latter option, the capline colors actually can't be changed individually (note that they're not changed in @falsetru's example either). For example: import matplotlib.