#4 Pandas

This session was about the beautiful data analysis library pandas.
We will add the IPython notebook as soon as possible.

Homework:
Read the 10 minutes introduction to pandas.

Ensure you got the following aspects of pandas:

  • Difference between DataFrames and Series
  • Load and write csv and excel files
  • Indexing DataFrames, accessing rows ( df.ix[0]) and columns ( df['Column']) and transpose them ( df.T)
  • Calculating mean, sum, std and sem
  • Using the  df.head() ,  df.tail()  and  df.describe() command
  • Plotting your data using  df.plot() , try to use different kinds, e.g.  df.plot(kind='bar')

Here’s Michael’s pandas Jupyter notebook and the munich climate file:
#4 Pandas