Pandas DataFrame: Difference between revisions
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=Accessing Elements of a DataFrame= | =Accessing Elements of a DataFrame= | ||
==<tt>iloc[]</tt>== | ==<tt>iloc[]</tt>== | ||
A property that allows integer-based access (indexing). The location is specified as a 0-based index position. The property accepts a wide variety of arguments. | A property that allows integer-based access (indexing). The location is specified as a 0-based index position. The property accepts a wide variety of arguments. | ||
< | Used in the following situations: | ||
===Extract a Series from the DataFrame=== | |||
<syntaxhighlight lang='py'> | |||
df = ... | |||
# extract a series corresponding to DataFrame column 0 | |||
s = df.iloc[:,0] | |||
</syntaxhighlight> | |||
==<tt>loc[]</tt>== | ==<tt>loc[]</tt>== | ||
Revision as of 18:41, 8 October 2023
External
- https://pandas.pydata.org/docs/user_guide/dsintro.html#dataframe
- https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html#pandas.DataFrame
Internal
Overview
A DataFrame is a two-dimensional data structure with columns of potentially different types. The data structure also contains labeled axes, for both rows and columns.
Can be thought of as a dict-like container for Series objects, where each column is a Series. The dimensionality of the DataFrame is given by its shape property.
Shape
shape is a property of the DataFrame, containing a tuple that returns the dimensionality of the DataFrame: rows, columns.
Create a DataFrame
Create a DataFrame from a CSV File
Accessing Elements of a DataFrame
iloc[]
A property that allows integer-based access (indexing). The location is specified as a 0-based index position. The property accepts a wide variety of arguments.
Used in the following situations:
Extract a Series from the DataFrame
df = ...
# extract a series corresponding to DataFrame column 0
s = df.iloc[:,0]
loc[]
A property that allows label-based access (indexing).