Boxplots¶

[1]:

import mgkit.plots.boxplot
import numpy
import pandas
import seaborn as sns

[2]:

nrows = 9
ncols = 30
data = pandas.DataFrame({
    x: numpy.random.negative_binomial(1000, 0.05, size=nrows)
    for x in xrange(ncols)
})

Simple boxplot¶

[3]:

fig, ax = mgkit.plots.get_single_figure(figsize=(30, 10))
_ = mgkit.plots.boxplot.boxplot_dataframe(data, data.index, ax)

../../_images/examples_plots_boxplot_4_0.png

Change order of boxplots¶

[4]:

fig, ax = mgkit.plots.get_single_figure(figsize=(30, 10))
_ = mgkit.plots.boxplot.boxplot_dataframe(data, data.index[::-1], ax)

../../_images/examples_plots_boxplot_6_0.png

Change labels¶

[5]:

fig, ax = mgkit.plots.get_single_figure(figsize=(30, 10))
_ = mgkit.plots.boxplot.boxplot_dataframe(data, data.index, ax, label_map={x: 'label {}'.format(x) for x in data.index})

../../_images/examples_plots_boxplot_8_0.png

Change font parameters¶

[6]:

fig, ax = mgkit.plots.get_single_figure(figsize=(30, 10))
_ = mgkit.plots.boxplot.boxplot_dataframe(
    data,
    data.index,
    ax,
    label_map={x: 'label {}'.format(x) for x in data.index},
    fonts=dict(fontsize=22, rotation=45)
)

../../_images/examples_plots_boxplot_10_0.png

Empty boxplots¶

[7]:

fig, ax = mgkit.plots.get_single_figure(figsize=(30, 10))
_ = mgkit.plots.boxplot.boxplot_dataframe(
    data,
    data.index,
    ax,
    label_map={x: 'label {}'.format(x) for x in data.index},
    fonts=dict(fontsize=22, rotation=45),
    fill_box=False
)

../../_images/examples_plots_boxplot_12_0.png

Vertical boxplot¶

[8]:

fig, ax = mgkit.plots.get_single_figure(figsize=(10, 10))
_ = mgkit.plots.boxplot.boxplot_dataframe(
    data,
    data.index,
    ax,
    label_map={x: 'label {}'.format(x) for x in data.index},
    fonts=dict(fontsize=22, rotation='horizontal'),
    fill_box=True,
    box_vert=False
)

../../_images/examples_plots_boxplot_14_0.png

Change boxplot colors¶

[9]:

boxplot_colors = {
    key: col
    for key, col in zip(mgkit.plots.boxplot.DEFAULT_BOXPLOT_COLOURS, sns.color_palette('Dark2', len(mgkit.plots.boxplot.DEFAULT_BOXPLOT_COLOURS)))
}
fig, ax = mgkit.plots.get_single_figure(figsize=(30, 10))
_ = mgkit.plots.boxplot.boxplot_dataframe(
    data,
    data.index,
    ax,
    label_map={x: 'label {}'.format(x) for x in data.index},
    fonts=dict(fontsize=22, rotation=45),
    fill_box=True,
    colours=boxplot_colors
)

../../_images/examples_plots_boxplot_16_0.png

Change data colors and the median color¶

[10]:

fig, ax = mgkit.plots.get_single_figure(figsize=(30, 10))
_ = mgkit.plots.boxplot.boxplot_dataframe(
    data,
    data.index,
    ax,
    label_map={x: 'label {}'.format(x) for x in data.index},
    fonts=dict(fontsize=22, rotation=45),
    fill_box=True,
    colours=dict(medians='k'),
    data_colours={x: y for x, y in zip(data.index, sns.color_palette('hls', len(data.index)))}
)

../../_images/examples_plots_boxplot_18_0.png

Adding data points¶

[11]:

reload(mgkit.plots.boxplot)
fig, ax = mgkit.plots.get_single_figure(figsize=(30, 10), dpi=300)

data_colours = {x: y for x, y in zip(data.index, sns.color_palette('Dark2', len(data.index)))}

plot_data = mgkit.plots.boxplot.boxplot_dataframe(
    data,
    data.index,
    ax,
    label_map={x: 'label {}'.format(x) for x in data.index},
    fonts=dict(fontsize=22, rotation=45),
    fill_box=False,
    data_colours=data_colours,
    box_vert=True
)

#note that box_vert must be the same in both boxplot_dataframe and add_values_to_boxplot. Their default is the opposite, now.
mgkit.plots.boxplot.add_values_to_boxplot(
    data,
    ax,
    plot_data,
    data.index,
    data_colours=data_colours,
    s=600,
    alpha=0.5,
    box_vert=True
)

../../_images/examples_plots_boxplot_20_0.png

Adding Significance annotations¶

[12]:

reload(mgkit.plots.boxplot)
fig, ax = mgkit.plots.get_single_figure(figsize=(20, 10), dpi=300)

data_colours = {x: y for x, y in zip(data.index, sns.color_palette('Dark2', len(data.index)))}

plot_data = mgkit.plots.boxplot.boxplot_dataframe(
    data,
    data.index,
    ax,
    label_map={x: 'label {}'.format(x) for x in data.index},
    fonts=dict(fontsize=22, rotation=45),
    fill_box=False,
    data_colours=data_colours,
    box_vert=True
)

#note that box_vert must be the same in both boxplot_dataframe and add_values_to_boxplot. Their default is the opposite, now.
mgkit.plots.boxplot.add_values_to_boxplot(
    data,
    ax,
    plot_data,
    data.index,
    data_colours=data_colours,
    s=600,
    alpha=0.5,
    box_vert=True
)
mgkit.plots.boxplot.add_significance_to_boxplot(
    [
        (0, 1),
        (1, 3),
        (2, 3),
        (7, 8),
        (4, 6)
    ],
    ax,
    (21850, 21750),
    box_vert=True,
    fontsize=32
)
_ = ax.set_ylim(top=22500)

../../_images/examples_plots_boxplot_22_0.png

Changed direction, different palette and marker¶

[13]:

reload(mgkit.plots.boxplot)
fig, ax = mgkit.plots.get_single_figure(figsize=(20, 15), dpi=300)

data_colours = {x: y for x, y in zip(data.index, sns.color_palette('Set1', len(data.index)))}

plot_data = mgkit.plots.boxplot.boxplot_dataframe(
    data,
    data.index,
    ax,
    label_map={x: 'label {}'.format(x) for x in data.index},
    fonts=dict(fontsize=22, rotation=45),
    fill_box=False,
    data_colours=data_colours,
    box_vert=False
)

#note that box_vert must be the same in both boxplot_dataframe and add_values_to_boxplot. Their default is the opposite, now.
mgkit.plots.boxplot.add_values_to_boxplot(
    data,
    ax,
    plot_data,
    data.index,
    data_colours=data_colours,
    s=600,
    alpha=0.5,
    marker='|',
    linewidth=8,
    box_vert=False
)

../../_images/examples_plots_boxplot_24_0.png