It is an enhanced jitter strip chart, where the width of the jitter is controlled by the density distribution of the data within each class. {usage} Parameters ---------- {common_parameters} …

See Also -------- plotnine.geoms.geom_violin statsmodels.nonparametric.kde.KDEUnivariate statsmodels.nonparametric.kde.KDEUnivariate.fit """_aesthetics_doc="""{aesthetics_table} .. …

[docs] @documentclassstat_qq(stat):""" Calculation for quantile-quantile plot {usage} Parameters ---------- {common_parameters} distribution : str (default: norm ...

classplotnine.scales.scale_color_hue(h=0.01, l=0.6, s=0.65, color_space:Literal['hls','husl']='hls', **kwargs)[source] ¶

plotnine.data.pageviews ¶ plotnine.data.pageviews ¶

This themeable exists mainly to cater for differences in how the text is aligned compared to the entry based legend. Unless you experience those alignment issues (i.e when using …

"outputs": [], "source": [ "import sys\n", "import random\n", "\n", "from plotnine import ggplot, geom_point, aes, geom_line, theme\n", "import pandas as pd\n", "import numpy as np\n", "\n", …

Parameters: filllist-likeList of colors for the strips. The default is ("#AAAAAA", "#CCCCCC") fill_range: 'cycle' | 'nocycle' | 'auto' | 'no'How to fill stripes beyond the range of scale: 'cycle' # …

classplotnine.themes.themeable.legend_spacing(theme_element:Any=None)[source] ¶ Bases: themeable Spacing between two adjacent legends Parameters: theme_elementfloat

It is an enhanced jitter strip chart, where the width of the jitter is controlled by the density distribution of the data within each class. {usage} Parameters ---------- {common_parameters} …