Pandas Series: Difference between revisions
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=Create a Series= | =Create a Series= | ||
A series can be created from lists, or from external storage. | |||
<syntaxhighlight lang='py'> | |||
import pandas as pd | |||
a = ['a', 'b', 'c'] | |||
s = pd.Series(a) | |||
</syntaxhighlight> | |||
=Accessing Elements of a Series= | =Accessing Elements of a Series= | ||
This is known as '''indexing''' or '''subset selection'''. | This is known as '''indexing''' or '''subset selection'''. | ||
Revision as of 17:33, 8 October 2023
External
- https://pandas.pydata.org/docs/user_guide/dsintro.html#series
- https://pandas.pydata.org/docs/reference/api/pandas.Series.html#pandas.Series
- https://www.geeksforgeeks.org/python-pandas-series/
Internal
Overview
A series is a one-dimensional array of values, where each value has a label. The labels are referred to as "axis labels" and they are managed by the series's index. By default, in absence of any explicit specification, a series gets a monotonic integer range index, starting with 0 and with the step 1.
Index
RangeIndex
RangeIndex(start=0, stop=3, step=1)
Create a Series
A series can be created from lists, or from external storage.
import pandas as pd
a = ['a', 'b', 'c']
s = pd.Series(a)
Accessing Elements of a Series
This is known as indexing or subset selection.
Operations on Series
Filtering
Transformation
This class of operations are referred to as transformations or conversions.