.. literalinclude:: ../examples/simple_pairs.py
:language: python
Sequence row data, such as is returned by :func:`csv.reader` can be accessed by specifying the indices of the columns containing the x and y values.
Note that leather does not automatically convert numerical strings, such as those stored in a CSV. If you want that you'll need to use a smarter table reader, such as agate
.. literalinclude:: ../examples/csv_reader.py
:language: python
Dict row data, such as is returned by :class:`csv.DictReader` can be accessed by specifying the indices of the columns containing the x and y values.
See previous example for note on strings from CSVs.
.. literalinclude:: ../examples/csv_dict_reader.py
:language: python
Completely custom data formats are also supported via accessor functions.
.. literalinclude:: ../examples/custom_data.py
:language: python
Multiple data series can be displayed on a single chart so long as they all use the same type of :class:`.Scale`.
.. literalinclude:: ../examples/multiple_series.py
:language: python
.. literalinclude:: ../examples/bars.py
:language: python
.. literalinclude:: ../examples/columns.py
:language: python
.. literalinclude:: ../examples/dots.py
:language: python
.. literalinclude:: ../examples/lines.py
:language: python
You can mix different shapes for different series on the same chart.
.. literalinclude:: ../examples/mixed_shapes.py
:language: python
When using numerical data :class:`.Linear` scales are created automatically and by default. You may override the domain by adding a scale manually.
.. literalinclude:: ../examples/linear.py
:language: python
When using text data :class:`.Ordinal` scales are created automatically and by default. It is generally not useful to override these defaults.
.. literalinclude:: ../examples/ordinal.py
:language: python
When using date/time data :class:`.Temporal` scales are created automatically and by default. You may override the domain by adding a scale manually.
.. literalinclude:: ../examples/temporal.py
:language: python
You can change the list of ticks that are displayed using :meth:`.Chart.add_x_axis` and :meth:`.Chart.add_y_axis` methods. This will not adjust automatically adjust the scale, so it is possible to pick tick values that are not displayed.
.. literalinclude:: ../examples/ticks.py
:language: python
You can provide a tick formatter method to change how ticks are displayed using the :meth:`.Chart.add_x_axis` and :meth:`.Chart.add_y_axis` methods.
.. literalinclude:: ../examples/tick_format.py
:language: python
Chart styles are set using a dead simple :mod:`.theme` system. Leather is meant for making quick and dirty charts. It is neither expected nor recommended for user's to customize these styles.
.. literalinclude:: ../examples/theme.py
:language: python
More practically, individual default :class:`.Series` colors can be overridden when they are created.
.. literalinclude:: ../examples/series_color.py
:language: python
Style attributes of individual data points can be set by value using a :func:`.style_function`.
.. literalinclude:: ../examples/colorized_dots.py
:language: python
When using :meth:`.Chart.add_line`, you can set the stroke_dasharray property.
.. literalinclude:: ../examples/lines_dashes.py
:language: python
You can add charts of completely different types to a single graphic by using :class:`.Grid`.
.. literalinclude:: ../examples/grid.py
:language: python
A grid of charts can automatically be synchronized to a consistent view using :class:`.Lattice`.
.. literalinclude:: ../examples/lattice.py
:language: python
