![]() Stata provides keywords to select, drop, and rename columns. You’ll need to either assign to a new variable: Most pandas operations return copies of the Series/ DataFrame. See the indexing documentation for much more on how to use an Index and just treat the DataFrame as a collection of columns. Part of pandas to understand, for this comparison we will essentially ignore the MultiIndex can enable sophisticated analyses and is ultimately an important (first row = 0, second row = 1, and so on). In pandas, if no index is specified, an integer index is also used by default Rows are essentially unlabeled, other than an implicit integer index that can be Stata does not have an exactly analogous concept. Stata doesn’t have a separate data structure for a single column,īut in general, working with a Series is analogous to referencing a columnĮvery DataFrame and Series has an Index – labels on the Series #Ī Series is the data structure that represents one column of aĭataFrame. In Stata can also be accomplished in pandas. Shown in this document, almost any operation that can be applied to a data set In : import pandas as pd In : import numpy as np Data structures # General terminology translation #Ī DataFrame in pandas is analogous to a Stata data set – a two-dimensionalĭata source with labeled columns that can be of different types. ![]()
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