Jupyter Notebook Tutorial | Python | Plotly

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Using matplotlib in jupyter notebooks — comparing methods

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  • Matplotlib is a massive library, being able to adjust every aspect of a plot is powerful but it can be complex / time-consuming for highly customized charts. Atleast, for these bar chart races, it …

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How to plot a histogram using Matplotlib in Python with a

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  • Explore statistics that quantify effect size by analyzing the difference in height between men and women. Uses data from the Behavioral Risk Factor Surveillance System (BRFSS) to estimate the mean and standard deviation of height for adult women and men in the United States. matplotlib. IPython Notebook(s) demonstrating matplotlib
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  • You should do (figsize=(,)) PRIOR to defining your actual plot. For example: This should correctly size the plot according to your specified figsize: values = [1,1,1,2,2,3] _ = (figsize=(10,6)) _ = (values,bins=3) () Whereas this will show the plot with …

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1. Basic Plotting with Pylab — mpl-tutorial 0.1 documentation

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01.2 IPython Numpy and Matplotlib Refresher

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  • First thing is to start an inline Matplotlib session in IPython notebook. I also make the figure size a bit bigger than the default: % pylab inline rcParams [ e ] = ( 10 , 8 )
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Customizing Matplotlib with style sheets and rcParams

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Better looking plots with Matplotlib

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