U md @sbdZddlmZddlZddlmZddlmm Z ej dddddddddf ddZ d d Z dS) z@ Authors: Josef Perktold, Skipper Seabold, Denis A. Engemann )lrangeN)rainbowbbestc Ksddlm}t|\}}|p(t|dd}d|j|f}|pFt|dd}| pVt|dd} ||||d}}t|dt rd d t |D}t t |}t|tt||}|t|||d }|d d g|}t |d  }| dkrdg|n| } | dkrdg|n| } |dkr2t|n|}t | |krLtdt | |krbtdt ||krxtd|dks|dkrt|d D]R\}\}}t |d jd}|j|d |df||| ||| |d| qn|dks|dkrbt|d D]L\}\}}t |d jd}|j|d |df|||| |d| qn~|dksv|dkrt|d D]L\}\}}t |d jd}|j|d |df|||| |d| qn td||j| | d|dt||gr|||||S)a Interaction plot for factor level statistics. Note. If categorial factors are supplied levels will be internally recoded to integers. This ensures matplotlib compatibility. Uses a DataFrame to calculate an `aggregate` statistic for each level of the factor or group given by `trace`. Parameters ---------- x : array_like The `x` factor levels constitute the x-axis. If a `pandas.Series` is given its name will be used in `xlabel` if `xlabel` is None. trace : array_like The `trace` factor levels will be drawn as lines in the plot. If `trace` is a `pandas.Series` its name will be used as the `legendtitle` if `legendtitle` is None. response : array_like The reponse or dependent variable. If a `pandas.Series` is given its name will be used in `ylabel` if `ylabel` is None. func : function Anything accepted by `pandas.DataFrame.aggregate`. This is applied to the response variable grouped by the trace levels. ax : axes, optional Matplotlib axes instance plottype : str {'line', 'scatter', 'both'}, optional The type of plot to return. Can be 'l', 's', or 'b' xlabel : str, optional Label to use for `x`. Default is 'X'. If `x` is a `pandas.Series` it will use the series names. ylabel : str, optional Label to use for `response`. Default is 'func of response'. If `response` is a `pandas.Series` it will use the series names. colors : list, optional If given, must have length == number of levels in trace. markers : list, optional If given, must have length == number of levels in trace linestyles : list, optional If given, must have length == number of levels in trace. legendloc : {None, str, int} Location passed to the legend command. legendtitle : {None, str} Title of the legend. **kwargs These will be passed to the plot command used either plot or scatter. If you want to control the overall plotting options, use kwargs. Returns ------- Figure The figure given by `ax.figure` or a new instance. Examples -------- >>> import numpy as np >>> np.random.seed(12345) >>> weight = np.random.randint(1,4,size=60) >>> duration = np.random.randint(1,3,size=60) >>> days = np.log(np.random.randint(1,30, size=60)) >>> fig = interaction_plot(weight, duration, days, ... colors=['red','blue'], markers=['D','^'], ms=10) >>> import matplotlib.pyplot as plt >>> plt.show() .. plot:: import numpy as np from statsmodels.graphics.factorplots import interaction_plot np.random.seed(12345) weight = np.random.randint(1,4,size=60) duration = np.random.randint(1,3,size=60) days = np.log(np.random.randint(1,30, size=60)) fig = interaction_plot(weight, duration, days, colors=['red','blue'], markers=['D','^'], ms=10) import matplotlib.pyplot as plt #plt.show() r) DataFramenameresponsez%s of %sXTraceNcSsg|]}|qSr ).0lr r Y/home/sam/Atlas/atlas_env/lib/python3.8/site-packages/statsmodels/graphics/factorplots.py lsz$interaction_plot..)xtracerrr-.z(Must be a linestyle for each trace levelz%Must be a marker for each trace levelz$Must be a color for each trace levelZbothr)colormarkerlabel linestyleliner )rrrscatters)rrrzPlot type %s not understood)loctitleg?)pandasrutilsZ create_mpl_axgetattr__name__Z set_ylabelZ set_xlabel isinstancestrnpuniquerlen_recodedictzipgroupbyZ aggregateZ reset_indexr ValueError enumeratevaluesZplotrZlegendZmarginsallZ set_xticksZset_xticklabels)rrrfuncZaxZplottypeZxlabelZylabelcolorsmarkersZ linestylesZ legendlocZ legendtitlekwargsrZfigZ response_nameZx_valuesZx_levelsdataZ plot_dataZn_traceir,grouprr r rinteraction_plot sxR           r5cCsddlm}d}d}t||r0|j}|j}|j}|jjtj tj fkrNt dnt|t sbt dnrt |t t|kst dnHtj|jdtd}|D]\}}||||k<q|r||||d}|SdS) a8 Recode categorial data to int factor. Parameters ---------- x : array_like array like object supporting with numpy array methods of categorially coded data. levels : dict mapping of labels to integer-codings Returns ------- out : instance numpy.ndarray r)SeriesNzs