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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pandas has a lot of lifesaving features for dealing with dates. Here's an example timeseries data file, which happens contains a missing date:
date,temp
11-1-2014,56
11-2-2014,56
11-3-2014,59
11-5-2014,60
11-6-2014,55
Loading and plotting the data in pandas gives this result:
In [0]: %matplotlib inline
In …There are comments.
A common need in data science is to test if a some group of data contains a given value. One specific example would be to test if a word is a stop word.
If the elements of the group exist in a list named group in python …
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I put together a list of data science and python videos that I've found to be especaily useful and entertaining. The list is here, also linked from the nav bar up top.
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I put together a list of data science books I recommended, including a few for preparing for data science interviews. The list is availiable here.
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