Python For Data Analysis
Series
a one-dimensional array-like object containing an array of data (of any NumPy data type) and an associated array of data labels, called its index
level
match simple index on level of MultiIndex, otherwise select subset of
obj.index
gets the indices of the series can alter the place of indices
method
inperpolation (fill) method
copy
If True, always copy underlying data even if new index is equivalent to old index. Otherwise, do not copy the data when the indexes are equivalent.
reindex
create a new object with data conformed to new index
.ix
enables you to select a subset of the rows and columns from a DataFrame with NumPy-like notation plus axis labels
ffill
fill (or carry) values forward
bfill
fill(or carry) values backward
obj.values
gets the values of the series
create a series with distinct index to ID each data point
obj2 = Series([4, 7, -5, 3], index=['d', 'b', 'a', 'c'])
fill_value
substitute value to use when introducing missing data by reindexing
pd.isnull(obj), pdnotnull(obj)
used to detect missing data
limit
when forward or backfilling, maximum size gap fill