Stem
daspi.plotlib.plotter.Stem(source, target, feature='', bottom=0, target_on_y=True, color=None, line_color=None, base_color=None, marker=None, ax=None, visible_spines=None, hide_axis=None, **kwds)
¶
Bases: Plotter
A stem plotter that extends the Plotter base class.
This class is designed to create a stem plot using the data provided in the source DataFrame.
| PARAMETER | DESCRIPTION |
|---|---|
source
|
A long format DataFrame containing the data source for the plot.
TYPE:
|
target
|
Column name of the target variable for the plot.
TYPE:
|
feature
|
Column name of the feature variable for the plot.
TYPE:
|
bottom
|
The Y/X position of the baseline (depending on the orientation
or
TYPE:
|
target_on_y
|
Flag indicating whether the target variable is plotted on the y-axis, by default True.
TYPE:
|
color
|
Color to be used to draw the markers. If None, the first color is taken from the color cycle, by default None.
TYPE:
|
line_color
|
Color to be used to draw the vertical lines. If None, the same color is taken as the color of the markers. Default is None
TYPE:
|
base_color
|
Color to be used to draw the base line. If None, the same color is taken as the color of the markers. Default is None
TYPE:
|
marker
|
The marker style for the stem plot. Available markers see: https://matplotlib.org/stable/api/markers_api.html, by default None.
TYPE:
|
ax
|
The axes object for the plot. If None, the current axes is
fetched using
TYPE:
|
visible_spines
|
Specifies which spines are visible, the others are hidden. If 'none', no spines are visible. If None, the spines are drawn according to the stylesheet. Defaults to None.
TYPE:
|
hide_axis
|
Specifies which axes should be hidden. If None, no changes are made, and the axes are displayed according to the stylesheet. Defaults to None.
TYPE:
|
**kwds
|
Additional keyword arguments that may be used for compatibility with other chart objects.
DEFAULT:
|
Examples:
Apply to an existing Axes object:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from daspi import Stem
fig, ax = plt.subplots()
df = pd.DataFrame({'x': list(x*np.pi/25 for x in range(50))})
df['y'] = np.cos(df['x'])
stem = Stem(
source=df, target='y', feature='x', target_on_y=False, bottom=1,
color='deepskyblue', line_color='steelblue', base_color='skyblue',
ax=ax)
stem(alpha=0.2, line_style='--', base_line_style='-.')
Apply using the plot method of a DaSPi Chart object:
import numpy as np
import daspi as dsp
import pandas as pd
df = pd.DataFrame({'x': list(x*np.pi/25 for x in range(50))})
df['y'] = np.cos(df['x'])
chart = dsp.SingleChart(
source=df,
target='y',
feature='x',
target_on_y=False
).plot(
dsp.Stem,
bottom=1,
color='deepskyblue',
line_color='steelblue',
base_color='skyblue',
kw_call=dict(alpha=0.2, line_style='--', base_line_style='-.'))
Notes
To change the markers, vertical lines and base line when drawing
use the keword arguments markerfmt, linefmt and basefmt. For
further information see:
https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.stem.html
bottom = bottom
instance-attribute
¶
The Y/X position of the baseline (depending on the orientation or
target_on_y).
line_color = line_color if line_color is not None else self.color
instance-attribute
¶
Color to be used to draw the vertical lines. If None, the same color is taken as the color of the markers.
base_color = base_color if base_color is not None else self.color
instance-attribute
¶
Color to be used to draw the base line. If None, the same color is taken as the color of the markers.
kw_default
property
¶
Default keyword arguments for plotting (read-only)