-Ph%3 d dl Z d dlmZmZ d dlmZ d dlmZ d dlZd dl m
Z ej d Z
d Zddddddddddi f d ZdS )
N)
exceptionsoptional_imports)utilspandasc
t | }
|dk r|
nd}|dk rdn|
}| sd|
z } |
sd|
z }
t j ||d| |
}|d t g dd d
dd g t |dk rd nd
|d | |dk rd}d}nd}d}|d D ]i}d|v sd|v r"d|d | d< d|d | d< ||v rd|d | d< ||v r$d|d | d< ddg|d | d< j|
dk rddg|d |dz d< |sd d g}|sd d g}t
|
D ]}t
t | j | d D ](}t j |d |d t | j | d d! }|dk r*t | j | d d"|z
gndg}|dk rdgn)t | j | d d"|z
g}t j ||t |d"|z
# d |dk rd$nd%|d&dd'
|dz d(
|dz )
}| | *t
t | j | d* D ](}t j |d |d t | j | d* d! }|dk r*t | j | d* d"|z
gnd+g}|dk rd+gn)t | j | d* d"|z
g}t j ||t |d"|z
# d*|dk rd$nd%|ddd'
|dz d(
|dz )
}| | *|dk r| j | d, nd+g}|dk rd+gn| j | d, }t j d7||d,|dk rd$nd%d'
|dz d(
|dz d-| }| | | j | d. }d/| v r'd0
| j | d/ }nd1}d2
| |z } t! j | |dk r|
|z
n|dz |
|dk r|
n| |dk rd3nd4|dk rd5ndd } |d d6xx | fz
cc< |S )8Nh g ?F)
print_gridhorizontal_spacingvertical_spacinglayout)shapesz Bullet ChartiX i stackx P )l)titleheightwidth
showlegendbarmode annotationsmarginyaxisxaxisshowgridzeroline tickwidthshowticklabelsr rangeg?g333333?1domainrgb(200, 200, 200)rgb(245, 245, 245)rgb(31, 119, 180)rgb(176, 196, 221)rangesrgb)colorxy zx{}zy{})
r+ r, markername hoverinfo orientationr baser r measuresg ?markers)r+ r, r/ r0 r r titles subtitlesz
{} z {}rowcolTr )lenplotlysubplots
make_subplotsupdatedictr ilocclrsn_colorssortedgoBarformat add_traceScatterr annotation_dict_for_label) dfr4 r3 r' r6 r5 r1 range_colorsmeasure_colorsr r scatter_optionslayout_options num_of_lanes num_of_rows num_of_colsfig
width_axis length_axiskeyr8 idx inter_colorsr+ r, barr subtitlelabelannots ]/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/plotly/figure_factory/_bullet.py_bulletr^
s r77L"-"4"4,,!K"c))!!|K 0 < / . -
/
'
'-) ( C M B [C / /ccR888 M (((c
8} 1 1 c>>W^^-2CM# z *-2CM# z * # ./CM# { + 38CM# / 0+,a&CM# w ' q58#JH
j3&'1 D,.BC E-/CD\"" ]1 ]1RWS\( 34455 C = Q a #bgcl86L2M2Mu L
#%% X.//S9::S
#%% RWS\( 344R#X>?
&,rCx"8999 !,!3!3## 'll37++ll37++ C
MM# RWS\* 56677 C = q! q!BGCL,-- L #%% Z011"s(;<<U
#%% RWS\* 566rCx@A
&,rCx"8999 !,!3!3## 'll37++ll37++ C
MM# (3c'9'9BGCL # #u C''SEERWS\)-D*
(C / /ccS,,sQw'',,sQw''
g X& " rws|K'@AAHHH""5))H4/ #.##5#5\C
37 +s 2 2 8J C''EEU 3&&DDE
H
m$$$0$$$$ J r )r# r$ )r% r& c t st d t j | r.t d | D st j d n.t | t j st j d g d}
t j | rt rfd| D ndgt | z rfd| D ndgt | z rfd | D ng gt | z rfd
| D ng gt | z rfd | D ng gt | z g|
}n t | t j rt r|
ndgt | z r|
ndgt | z r|
ng gt | z r|
ng gt | z r|
ng gt | z g|
}t j | }d
D ]Q}t || D ]9\ }} t j | }|s| g || |< *# t $ r Y 6w xY wR||fD ]Z}|rVt | dk rt j d t! j | t! j |d d }[dddddi}| i k r| | n,|d D ]#}|| d vr|d | | d |< $t) ||||| |
| |
}|S )a
**deprecated**, use instead the plotly.graph_objects trace
:class:`plotly.graph_objects.Indicator`.
:param (pd.DataFrame | list | tuple) data: either a list/tuple of
dictionaries or a pandas DataFrame.
:param (str) markers: the column name or dictionary key for the markers in
each subplot.
:param (str) measures: the column name or dictionary key for the measure
bars in each subplot. This bar usually represents the quantitative
measure of performance, usually a list of two values [a, b] and are
the blue bars in the foreground of each subplot by default.
:param (str) ranges: the column name or dictionary key for the qualitative
ranges of performance, usually a 3-item list [bad, okay, good]. They
correspond to the grey bars in the background of each chart.
:param (str) subtitles: the column name or dictionary key for the subtitle
of each subplot chart. The subplots are displayed right underneath
each title.
:param (str) titles: the column name or dictionary key for the main label
of each subplot chart.
:param (bool) orientation: if 'h', the bars are placed horizontally as
rows. If 'v' the bars are placed vertically in the chart.
:param (list) range_colors: a tuple of two colors between which all
the rectangles for the range are drawn. These rectangles are meant to
be qualitative indicators against which the marker and measure bars
are compared.
Default=('rgb(200, 200, 200)', 'rgb(245, 245, 245)')
:param (list) measure_colors: a tuple of two colors which is used to color
the thin quantitative bars in the bullet chart.
Default=('rgb(31, 119, 180)', 'rgb(176, 196, 221)')
:param (float) horizontal_spacing: see the 'horizontal_spacing' param in
plotly.tools.make_subplots. Ranges between 0 and 1.
:param (float) vertical_spacing: see the 'vertical_spacing' param in
plotly.tools.make_subplots. Ranges between 0 and 1.
:param (dict) scatter_options: describes attributes for the scatter trace
in each subplot such as name and marker size. Call
help(plotly.graph_objs.Scatter) for more information on valid params.
:param layout_options: describes attributes for the layout of the figure
such as title, height and width. Call help(plotly.graph_objs.Layout)
for more information on valid params.
Example 1: Use a Dictionary
>>> import plotly.figure_factory as ff
>>> data = [
... {"label": "revenue", "sublabel": "us$, in thousands",
... "range": [150, 225, 300], "performance": [220,270], "point": [250]},
... {"label": "Profit", "sublabel": "%", "range": [20, 25, 30],
... "performance": [21, 23], "point": [26]},
... {"label": "Order Size", "sublabel":"US$, average","range": [350, 500, 600],
... "performance": [100,320],"point": [550]},
... {"label": "New Customers", "sublabel": "count", "range": [1400, 2000, 2500],
... "performance": [1000, 1650],"point": [2100]},
... {"label": "Satisfaction", "sublabel": "out of 5","range": [3.5, 4.25, 5],
... "performance": [3.2, 4.7], "point": [4.4]}
... ]
>>> fig = ff.create_bullet(
... data, titles='label', subtitles='sublabel', markers='point',
... measures='performance', ranges='range', orientation='h',
... title='my simple bullet chart'
... )
>>> fig.show()
Example 2: Use a DataFrame with Custom Colors
>>> import plotly.figure_factory as ff
>>> import pandas as pd
>>> data = pd.read_json('https://cdn.rawgit.com/plotly/datasets/master/BulletData.json')
>>> fig = ff.create_bullet(
... data, titles='title', markers='markers', measures='measures',
... orientation='v', measure_colors=['rgb(14, 52, 75)', 'rgb(31, 141, 127)'],
... scatter_options={'marker': {'symbol': 'circle'}}, width=700)
>>> fig.show()
z3'pandas' must be installed for this figure factory.c 3 @ K | ]}t |t V d S )N)
isinstancer@ ).0items r] z create_bullet.. s, ;;d:dD));;;;;;r_ zGEvery entry of the data argument list, tuple, etc must be a dictionary.z=You must input a pandas DataFrame, or a list of dictionaries.)r5 rZ r4 r3 r' c g | ]
}| S r: r: )rc dr5 s r]
z!create_bullet..' )))q6)))r_ r7 c g | ]
}| S r: r: )rc rg r6 s r] rh z!create_bullet..( s ,,,!9 ,,,r_ c g | ]
}| S r: r: )rc rg r4 s r] rh z!create_bullet..) s ***7***r_ c g | ]
}| S r: r: )rc rg r3 s r] rh z!create_bullet..* s +++8+++r_ c g | ]
}| S r: r: )rc rg r' s r] rh z!create_bullet..+ ri r_ )index)r' r3 r4 Nr- zKBoth 'range_colors' or 'measure_colors' must be a list of two valid colors.r( r r. z diamond-tallz rgb(0, 0, 0))sizesymbolr* )pd ImportErrorr is_sequenceallr PlotlyErrorrb DataFramer; tolist transpose enumeratemathisnan TypeErrorrB validate_colorsconvert_colors_to_same_typer? r^ )datar4 r3 r' r6 r5 r1 rL rM r r rN rO col_namesrK
needed_keyrW rr_is_nan colors_listdefault_scatterkrS s ````` r]
create_bulletr s z QOPPP
;;d;;;;; (#
bl
+
+
$ K
HGGI
\\-3I))))D))))"D 9I09O,,,,t,,,,tc$ii?O.5K****T****B4#d));K/7M++++d++++bTCII=M-3I))))D))))"D 9I
D", ' '
\\)/EV ##%%%bTCII5E,5KY&&(((B4#d));K*1GW
$$&&&tc$ii7G+3IX%%'''"D 9I)/EV ##%%%bTCII5E
# #B 8
:// FC
:a== -qy*,BzN3'
%n5 R R R; 1$$ ,+
- - - :;NNqQK 2 .QQO " //// !* L LA111/>x/H/K)!,
C Js #K++
K87K8)r{ r< r r
plotly.colorscolorsrB plotly.figure_factoryr plotly.graph_objs
graph_objsrE
get_modulerr r^ r r: r_ r] r s / / / / / / / / ' ' ' ' ' '
**f f fV
=>x x x x x xr_