Adding Error Bars In Python
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Adding Error Bars To Bar Graphs In Excel
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like you, helping each other. Join them; it only takes a minute: Sign up Python Pylab scatter plot error bars (the error on each point is unique) up vote 4 down vote favorite I am attempting a http://matplotlib.org/examples/statistics/errorbar_demo_features.html scatter plot of 2 arrays for which I have a third array containing the absolute error (error in y direction) on each point. I want the error bars to between (point a - error on a) and (point a + error on a). Is there a way of achieving this with pylab and if not any ideas on how else I could do it? Thanks in advance python matplotlib share|improve this question asked Mar 12 http://stackoverflow.com/questions/22364565/python-pylab-scatter-plot-error-bars-the-error-on-each-point-is-unique '14 at 21:46 user3412782 31116 add a comment| 1 Answer 1 active oldest votes up vote 5 down vote accepted >>> import matplotlib.pyplot as plt >>> a = [1,3,5,7] >>> b = [11,-2,4,19] >>> plt.pyplot.scatter(a,b) >>> plt.scatter(a,b)
Editor. Build charts in a breeze with our online editor. Real-time Support. Get instant chat https://plot.ly/python/error-bars/ support from our awesome engineering team. plotly Pricing PLOTCON NYC API https://mail.python.org/pipermail/tutor/2015-August/106242.html Sign In SIGN UP + NEW PROJECT UPGRADE REQUEST DEMO Feed Pricing Make a Chart API Sign In SIGN UP + NEW PROJECT UPGRADE REQUEST DEMO Show Sidebar Hide Sidebar Help API Libraries Python Error Bars Fork on Github Navigation Download THIS Notebook! error bars Back to Python 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 started by downloading the client and reading the primer. You can set up Plotly to work in online or offline adding error bars mode, or in jupyter notebooks. We also have a quick-reference cheatsheet (new!) to help you get started! Basic Symmetric Error Bars¶ 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='data', array=[1, 2, 3], visible=True ) ) ] py.iplot(data, filename='basic-error-bar') Out[3]: Asymmetric Error Bars¶ In[6]: 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[6]: Error Bars as a Percentage of the y Value¶ In[8]: 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[8]: Asymmetric Error Bars with a Constant Offset¶ In[9]: import plotly.plotly as py import plotly.graph_objs as go data = [ go.Scatter( x=[1, 2, 3, 4], y=[2, 1, 3, 4], err
message (by thread): [Tutor] About Python Module to Process Bytes Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] Colin Ross wrote: > Hi all, > > Goal: To plot asymmetric x error bars for a single point using errorbar. I > am interested in displaying the inter quartile range (IQR) for a data set. > > Code: > > import numpy as np > import matplotlib.pyplot as plt > > y = 1.0 > data = np.random.rand(100) > > median = np.median(data) > upper_quartile = np.percentile(data, 75) > lower_quartile = np.percentile(data, 25) > IQR = upper_quartile - lower_quartile > > plt.errorbar(median, y, xerr=[lower_quartile ,upper_quartile], fmt='k--') > > plt.savefig('IQR.eps') > plt.show() > > Error: > > Traceback (most recent call last): > File "IQR.py", line 15, in