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1. Analysis of Shakespeare character speech topics

   In Part I of this post I made a topic model of the speech of Shakespeare characters from eight plays. Here in Part II I'll analyze the results of the model. Download notebook.

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2. Annotating matplotlib plots

   To extend on my post about plotting and reshaping data from the BART API, I worked a bit with the matplotlib annotion interface to add text and arrows to a plot. The meat of this post is in cell #4 below. Download notebook.

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3. Cleaning, reshaping, and plotting BART time series data with pandas

   Introduction¶

   I recently starting collecting data from the BART API, specifically estimated time to departure for trains at the two stations I use most frequently. In this notebook I'll show how I parsed the data from a csv file, reshaped it to fit the questions at hand, and made a few plots. Download notebook ...read more

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4. Label graph axes!

   Download IPython notebook for this post.

   It's easy enough to make a plot using matplotlib.

   import matplotlib.pyplot as plt
   import numpy as np
   
   time_point_array = np.arange(0, 5, .1)
   y_value_array = np.exp(time_point_array)
   
   plt.plot(time_point_array, y_value_array)
   

   

   This plot is not great data science. In fact it's poor data …

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