U Y{jBP @sddlmZddlmZddlmZmZddlmZ ddl m Z ddl m Z edZedZed Zd d Zd+ddZd,ddZddZddZddZddZddZd-ddZdd Zd!d"Zd#d$Zd.d)d*ZdS)/)absolute_import)Number) exceptionsoptional_importsN) graph_objs) make_subplotsZpandasnumpyz scipy.statsc Cst|t}t|}t|}tj|ddd}tj|ddd}tj|ddd}||}d|}t||||k} t||||k} |||||| | d S) z6 Calculate statistics for use in violin plot. 2Zlinear) interpolationlowerKZhigher?)minmaxq1q2q3d1d2)npasarrayfloatrrZ percentile) dataxvals_minvals_maxrrrZiqrZ whisker_distrrr\/var/www/html/bwave/python/venv/lib/python3.8/site-packages/plotly/figure_factory/_violin.py calc_statss$   r#1f77b4 rgb(0, 0, 0)c sHfddttD}tjdd|d|tjjd|ddd dd S) zG Produces a sideways probability distribution fig violin plot. cs4g|],}dd|dd|dqS)z (pdf(y), y)=({:0.2f}z, ))format).0iryrr /sz$make_half_violin..linesZtonextxg?Zspline)widthcolorshapetext) rr(modenamer/fill fillcolorline hoverinfoZopacity)rangelenrScatterscatterLine)rr(r3Z linecolorr/rr'rmake_half_violin+s  r;c Cs4tj|| |gt|tjj|dddddddS)z2 Returns a rugplot fig for a violin plot. z line-ew-open)r-symbolmarkersr+Fr()r(rmarkerr0r1 showlegendr5)rr8r7r9Marker)valsZpdf_maxdistancer-rrrmake_violin_rugplotBsrCc Cs(tjddg||gddtjjddddS)z? Returns the scatterplot fig of most of a violin plot. rr+r*r rgb(0,0,0)r,r-)rr(r1r0r4)rr8r9r:)rrrrrmake_non_outlier_intervalQsrFc CsBtjddg||gdd|dd|gdtjjdddd d S) z@ Makes the upper and lower quartiles for a violin plot. rzlower-quartile: r"zupper-quartile: r*rDrEr/)rr(r/r0r4r5)rr8r$r9r:)rrrrrmake_quartiles^s  rHc Cs.tjdg|gdd|gdtddddd S) z; Formats the 'median' hovertext for a violin plot. rzmedian: r"r=Zsquarezrgb(255,255,255))r<r-r/)rr(r/r0r>r5)rr8r$dict)rrrr make_medianos rJc Cs tjj||ddddddd}|S)z- Makes the x-axis for a violin plot. Fr+)titler6showgridzerolineshowlinemirrorticksshowticklabels)rlayoutZXAxis)Z xaxis_titleZ xaxis_rangexaxisrrr make_XAxis}s rTc Cs tjj|dddddddd}|S)z- Makes the y-axis for a violin plot. TrGF)rKrQZ autorangeZticklenrNrMrLrO)rrRZYAxis)Z yaxis_titleyaxisrrr make_YAxiss rVTcCs t|t}t|d}t|d}t|d}t|d}t|d}t|d}t|d} t|} t||d} | | } t| } |rd | d nd }| |d | d g}t| | |d t| | |d t || t ||t |g}|r| t || ||d||fS)z? Refer to FigureFactory.create_violin() for docstring. rrrrrrrdg@ rg?)r3)rBr-)rrrr scipy_statsZ gaussian_kdeZlinspacerr;rFrHrJappendrC)rAr3rugplotrrrrrrrZpdfZxxyyZmax_pdfrB plot_xrange plot_datarrr violinplots2           r_c Cs4g} ||D]} | | kr | | q |r0| ||g} t| }td|dddd}d}t| D]\}}t| ||t }|t|krd}t ||||d\}}t }|D]}| |d|dq|d7}|dd |dt| ||iqb|dd dtd i|dj| dd d|| d |S)u Refer to FigureFactory.create_violin() for docstring. Returns fig for violin plot without colorscale. T皙?FrowscolsZ shared_yaxesZhorizontal_spacingZ print_gridrr3r[rRxaxis{}yaxis{}r+closestrKr? hovermodeautosizeheightr,)rZsortgroupbyr7r enumeraterr get_grouprr_rLayout append_traceupdater$rTrV)r data_header group_headercolorsuse_colorscale group_statsr[rnrmr,rK group_namer1gbLfigZ color_indexkgrrAr^r]rRitemrrrviolin_no_colorscalesT      rc ! Csg} ||D]} | | kr | | q |r0| | D]} | |kr4tdq4||g}t| }td|dddd}t|dtj }t|dtj }g}|D]}|||qt |}t |}t | D]\}}t |||t}|||||}t|||}t|d||d \}}t}|D]}||d|dq.|d d |dt| ||iqtjdgdgd td ||d|dgd|dggdddd} || d||d ddtdi|d j| ddd|| d|S)zr Refer to FigureFactory.create_violin() for docstring. Returns fig for violin plot with colorscale. zRAll values/groups in the index column must be represented as a key in group_stats.raTrbFrcrzrgb{}rfrRrgr=)sizeZcminZcmaxZ colorscaleZ showscale)rr(r0r>r?rhr+rirj)rZrnr PlotlyErrorror7rclrsZ color_parserZ unlabel_rgbrrrprrrqrZfind_intermediate_colorr_r$rrrrsrtrTr8rIrV)!rrurvrwrxryr[rnrmr,rKrzr1groupr{r|r}ZlowcolorZ highcolorZgroup_stats_valueskeyZ max_valueZ min_valuer~rrAZintermedZintermed_colorr^r]rRrZ trace_dummyrrrviolin_colorscale s      rc Cs4g} ||D]} | | kr | | q |r0| | D]} | |kr4tdq4||g}t| }td|dddd}t| D]~\}}t | ||t }t ||||d\}}t }|D]}||d|dq|dd |dt| ||iqz|dd dtd i|dj| dd d|| d |S)r`zMIf colors is a dictionary, all the group names must appear as keys in colors.raTrbFrcrfrRrgrhr+rirj)rZrnrrror7rrprrrqrr_rrrrsrtr$rTrV)rrurvrwrxryr[rnrmr,rKrzr1rr{r|r}r~rrAr^r]rRrrrr violin_dictpsN    rFXViolin and Rug Plotc  Cst|trt|d} n t|d} |dkrt|trjt|dkrNtdt dd|Dsjtdt rt|t j j j r|dkrtd||j}t|| d|d \} } tj| d tjjd d |d | td | td dd }|dtd d d dtj| |d}|St|t j j j s*td|dkr>td|d krt| trtt|||| |||||| | }|St|||| |||||| | }|Sndt| trtdt| dkrtdt|tstdt|||| |||||| | }|SdS)a} **deprecated**, use instead the plotly.graph_objects trace :class:`plotly.graph_objects.Violin`. :param (list|array) data: accepts either a list of numerical values, a list of dictionaries all with identical keys and at least one column of numeric values, or a pandas dataframe with at least one column of numbers. :param (str) data_header: the header of the data column to be used from an inputted pandas dataframe. Not applicable if 'data' is a list of numeric values. :param (str) group_header: applicable if grouping data by a variable. 'group_header' must be set to the name of the grouping variable. :param (str|tuple|list|dict) colors: either a plotly scale name, an rgb or hex color, a color tuple, a list of colors or a dictionary. An rgb color is of the form 'rgb(x, y, z)' where x, y and z belong to the interval [0, 255] and a color tuple is a tuple of the form (a, b, c) where a, b and c belong to [0, 1]. If colors is a list, it must contain valid color types as its members. :param (bool) use_colorscale: only applicable if grouping by another variable. Will implement a colorscale based on the first 2 colors of param colors. This means colors must be a list with at least 2 colors in it (Plotly colorscales are accepted since they map to a list of two rgb colors). Default = False :param (dict) group_stats: a dictionary where each key is a unique value from the group_header column in data. Each value must be a number and will be used to color the violin plots if a colorscale is being used. :param (bool) rugplot: determines if a rugplot is draw on violin plot. Default = True :param (bool) sort: determines if violins are sorted alphabetically (True) or by input order (False). Default = False :param (float) height: the height of the violin plot. :param (float) width: the width of the violin plot. :param (str) title: the title of the violin plot. Example 1: Single Violin Plot >>> from plotly.figure_factory import create_violin >>> import plotly.graph_objs as graph_objects >>> import numpy as np >>> from scipy import stats >>> # create list of random values >>> data_list = np.random.randn(100) >>> # create violin fig >>> fig = create_violin(data_list, colors='#604d9e') >>> # plot >>> fig.show() Example 2: Multiple Violin Plots with Qualitative Coloring >>> from plotly.figure_factory import create_violin >>> import plotly.graph_objs as graph_objects >>> import numpy as np >>> import pandas as pd >>> from scipy import stats >>> # create dataframe >>> np.random.seed(619517) >>> Nr=250 >>> y = np.random.randn(Nr) >>> gr = np.random.choice(list("ABCDE"), Nr) >>> norm_params=[(0, 1.2), (0.7, 1), (-0.5, 1.4), (0.3, 1), (0.8, 0.9)] >>> for i, letter in enumerate("ABCDE"): ... y[gr == letter] *=norm_params[i][1]+ norm_params[i][0] >>> df = pd.DataFrame(dict(Score=y, Group=gr)) >>> # create violin fig >>> fig = create_violin(df, data_header='Score', group_header='Group', ... sort=True, height=600, width=1000) >>> # plot >>> fig.show() Example 3: Violin Plots with Colorscale >>> from plotly.figure_factory import create_violin >>> import plotly.graph_objs as graph_objects >>> import numpy as np >>> import pandas as pd >>> from scipy import stats >>> # create dataframe >>> np.random.seed(619517) >>> Nr=250 >>> y = np.random.randn(Nr) >>> gr = np.random.choice(list("ABCDE"), Nr) >>> norm_params=[(0, 1.2), (0.7, 1), (-0.5, 1.4), (0.3, 1), (0.8, 0.9)] >>> for i, letter in enumerate("ABCDE"): ... y[gr == letter] *=norm_params[i][1]+ norm_params[i][0] >>> df = pd.DataFrame(dict(Score=y, Group=gr)) >>> # define header params >>> data_header = 'Score' >>> group_header = 'Group' >>> # make groupby object with pandas >>> group_stats = {} >>> groupby_data = df.groupby([group_header]) >>> for group in "ABCDE": ... data_from_group = groupby_data.get_group(group)[data_header] ... # take a stat of the grouped data ... stat = np.median(data_from_group) ... # add to dictionary ... group_stats[group] = stat >>> # create violin fig >>> fig = create_violin(df, data_header='Score', group_header='Group', ... height=600, width=1000, use_colorscale=True, ... group_stats=group_stats) >>> # plot >>> fig.show() rgbNrzRIf data is a list, it must be nonempty and contain either numbers or dictionaries.css|]}t|tVqdS)N) isinstancer)r%elementrrr Rsz create_violin..z0If data is a list, it must contain only numbers.zVdata_header must be the column name with the desired numeric data for the violin plot.rfF )rr+ri) rKrlZfontrmr?r,rSrUrkrU)rNrQrP)rrRzGError. You must use a pandas DataFrame if you are using a group header.zFThe colors param cannot be a dictionary if you are using a colorscale.rzHcolors must be a list with at least 2 colors. A Plotly scale is allowed.z,Your group_stats param must be a dictionary.)rrIrZvalidate_colors_dictZvalidate_colorslistr7rrallpdcoreframeZ DataFramevaluestolistr_rrrrRZFontrTrVrtZFigurerrr)rrurvrwrxryr[rnrmr,rKZ valid_colorsr^r]rRr}rrr create_violins                r)r r!)r )r T) NNNFNTFrrr) __future__rnumbersrZplotlyrrZ plotly.colorsrwrZplotly.graph_objsrZplotly.subplotsrZ get_modulerrrYrr;rCrFrHrJrTrVr_rrrrrrrrs>            'CgJ