phdu.plots package

Submodules

phdu.plots.base module

Helper funcs for plotting

phdu.plots.base.break_str(x, separator='<br>')

phdu.plots.base.color_gradient(start, end, n, to_hex=True)

phdu.plots.base.color_std(color, opacity=0.3)

Colors for the band y_mean +- y_std

phdu.plots.base.plotly_colors(maxlen=None)

phdu.plots.base.plotly_default_colors(maxlen=None)

phdu.plots.base.rows_cols(nrows, ncols)

phdu.plots.plotly_utils module

Helper funcs for plotly figures

phdu.plots.plotly_utils.CI_plot(x, y, CI, label=None, width=0.05, ms=10, color='rgba(255, 127, 14, 0.3)', fig=None, x_title=None, y_title=None)

Box plot where the box corresponds to the CI.

Attributes:

• x: x coordinate for the CI

• y: value of the magnitude for the sample. Example: the mean if CI is a CI for the mean.

• CI: Confidence interval for y.

phdu.plots.plotly_utils.add_offset(x0, xf, offset=0.05)

x0 (xf) == lower (upper) limit for the axis range.

phdu.plots.plotly_utils.get_common_range(fig, axes=['x', 'y'], offset=[0.05, 0.05])

phdu.plots.plotly_utils.get_figure(height=800, width=1000, ticksize=32, font_size=40, margin=None, font_family='sans-serif', hovermode=False, delete_axes=False, **kwargs)

phdu.plots.plotly_utils.get_mod_layout(key, val=None)

phdu.plots.plotly_utils.get_nplots(fig)

phdu.plots.plotly_utils.get_subplots(cols, rows=1, horizontal_spacing=0.03, vertical_spacing=0.03, height=None, width=2500, ticksize=32, font_size=40, font_family='sans-serif', hovermode=False, delete_axes=False, shared_xaxes=True, shared_yaxes=True, layout_kwargs={}, **make_subplots_kwargs)

phdu.plots.plotly_utils.mod_common_range(fig, axes=['x', 'y'], **kwargs)

phdu.plots.plotly_utils.mod_delete_axes(fig, axes=['x', 'y'])

phdu.plots.plotly_utils.mod_expfmt(fig, axes=['x', 'y'])

phdu.plots.plotly_utils.mod_logaxes(fig, axes=['x', 'y'])

phdu.plots.plotly_utils.mod_logaxes_expfmt(fig, axes=['x', 'y'])

phdu.plots.plotly_utils.mod_range(fig, val, axes=['x', 'y'])

phdu.plots.plotly_utils.mod_ticksize(fig, val, axes=['x', 'y'])

phdu.plots.plotly_utils.multiindex_to_label(i, depth=2)

phdu.plots.plotly_utils.permtest_plot(df, H1='', colorscale='Inferno', log=True, height=800, width=1000, font_size=40, bar_len=0.9, bar_x=0.95, bar_thickness=100)

H1 should not contain latex code. Use unicode and HTML for super/sub-indices.

phdu.plots.plotly_utils.set_multicategory_from_df(fig, df)

phdu.plots.plotly_utils.transparent_colorscale(fig, threshold=1e-10)

Values below threshold are invisible.

phdu.plots.plotly_utils.violin(df, CI=None, CI_line='mean', **CI_kwargs)

Violin plot including optionally the CI.

Attributes:

• df: melted DataFrame. Contains only two columns: variable name (x) and value (y).

  The column names set the OX and OY labels.

Module contents