markers

fcp.markers()

Dummy function to return the markers API with help() (not used directly for plotting).

Keyword Arguments

  • marker_edge_color (str|list) – Hex color string for the marker edges.
    Defaults to fcp.DEFAULT_COLORS . More details

  • marker_edge_width (float) – Marker edge line width in pixels. Defaults to 1.

  • marker_fill (boolean) – Enable/disable color fill in markers. Defaults to False. More details

  • marker_fill_color (str|list) – Hex color string for the fill color of markers.
    Defaults to fcp.DEFAULT_COLORS . More details

  • marker_jitter|jitter (boolean) – For boxplots add random noise on x-axis to show separation between markers. Defaults to True. More details

  • marker_size (float|str) – Size in pixels of the data point markers or a DataFrame column name with a custom marker size on each row. Defaults to 6. More details

  • markers (boolean) – Enable/disable data point markers. Defaults to True.

Examples

No markers:

>>> import fivecentplots as fcp
>>> from pathlib import Path
>>> import pandas as pd
>>> df = pd.read_csv(Path(fcp.__file__).parent / 'test_data' / 'fake_data.csv')
>>> fcp.plot(df, x='Voltage', y='I [A]', legend=['Die', 'Substrate'], ax_size=[400, 300],
             filter='Target Wavelength==450 & Temperature [C]==25 & Boost Level==0.2',
             markers=False)
../_images/example_markers1.png

Styled markers:

>>> import fivecentplots as fcp
>>> from pathlib import Path
>>> import pandas as pd
>>> df = pd.read_csv(Path(fcp.__file__).parent / 'test_data' / 'fake_data.csv')
>>> fcp.plot(df, x='Voltage', y='I [A]', legend=['Die', 'Substrate'], ax_size=[400, 300],
             filter='Target Wavelength==450 & Temperature [C]==25 & Boost Level==0.2',
             marker_size=10, marker_edge_width=2, marker_fill=True)
../_images/example_markers2.png

Custom markers types and color (a mix of indices from the fcp.DEFAULT_COLORS list and a custom hex color):

>>> import fivecentplots as fcp
>>> from pathlib import Path
>>> import pandas as pd
>>> df = pd.read_csv(Path(fcp.__file__).parent / 'test_data' / 'fake_data.csv')
>>> fcp.plot(df, x='Voltage', y='I [A]', legend=['Die', 'Substrate'], ax_size=[400, 300],
             filter='Target Wavelength==450 & Temperature [C]==25 & Boost Level==0.2',
             markers=['o', None, '+', '*', 'B', None], marker_edge_color=[3, 0, 6, 1, '#FF0000'])
../_images/example_markers3.png