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Originally Licensed under CC BY 4.0 Creative Commons
pandas
>= 0.15.2 (easy solution is using Anaconda)When working with tabular or structured data (like R dataframe, SQL table, Excel spreadsheet, ...):
For data-intensive work in Python the Pandas library has become essential.
What is pandas
?
R
's data.frame
in Python.It's documentation: http://pandas.pydata.org/pandas-docs/stable/
.dropna()
, pd.isnull()
)concat
, join
)groupby
functionalitystack
, pivot
) [ADVANCED]