ColumnPlotter
A class that contains plotting methods for a column.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
column |
Column
|
The column to plot. |
required |
Examples:
>>> from safeds.data.tabular.containers import Column
>>> column = Column("test", [1, 2, 3])
>>> plotter = column.plot
Source code in src/safeds/data/tabular/plotting/_column_plotter.py
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|
box_plot
¶
Create a box plot for the values in the column. This is only possible for numeric columns.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
theme |
Literal['dark', 'light']
|
The color theme of the plot. Default is "light". |
'light'
|
Returns:
Name | Type | Description |
---|---|---|
plot |
Image
|
The box plot as an image. |
Raises:
Type | Description |
---|---|
TypeError
|
If the column is not numeric. |
Examples:
>>> from safeds.data.tabular.containers import Column
>>> column = Column("test", [1, 2, 3])
>>> boxplot = column.plot.box_plot()
Source code in src/safeds/data/tabular/plotting/_column_plotter.py
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|
histogram
¶
Create a histogram for the values in the column.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
max_bin_count |
int
|
The maximum number of bins to use in the histogram. Default is 10. |
10
|
theme |
Literal['dark', 'light']
|
The color theme of the plot. Default is "light". |
'light'
|
Returns:
Name | Type | Description |
---|---|---|
plot |
Image
|
The plot as an image. |
Examples:
>>> from safeds.data.tabular.containers import Column
>>> column = Column("test", [1, 2, 3])
>>> histogram = column.plot.histogram()
Source code in src/safeds/data/tabular/plotting/_column_plotter.py
lag_plot
¶
Create a lag plot for the values in the column.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
lag |
int
|
The amount of lag. |
required |
theme |
Literal['dark', 'light']
|
The color theme of the plot. Default is "light". |
'light'
|
Returns:
Name | Type | Description |
---|---|---|
plot |
Image
|
The plot as an image. |
Raises:
Type | Description |
---|---|
TypeError
|
If the column is not numeric. |
Examples:
>>> from safeds.data.tabular.containers import Column
>>> column = Column("values", [1, 2, 3, 4])
>>> image = column.plot.lag_plot(2)
Source code in src/safeds/data/tabular/plotting/_column_plotter.py
violin_plot
¶
Create a violin plot for the values in the column. This is only possible for numeric columns.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
theme |
Literal['dark', 'light']
|
The color theme of the plot. Default is "light". |
'light'
|
Returns:
Name | Type | Description |
---|---|---|
plot |
Image
|
The violin plot as an image. |
Raises:
Type | Description |
---|---|
TypeError
|
If the column is not numeric. |
Examples:
>>> from safeds.data.tabular.containers import Column
>>> column = Column("test", [1, 2, 3])
>>> violinplot = column.plot.violin_plot()