Din*_*esh 3 python anaconda plotly jupyter-notebook
我在使用Plotly生成图表时遇到了错误,它似乎影响了我尝试在其上生成的大多数图表.所有失败的错误似乎都是重复的.我正在使用Jupyter笔记本(Anaconda 3,Python 3.6).
下面找到了无法生成输出的代码(但我的数据表和其他所有内容都是正确的).
**我不确定Plotly库是否存在问题(我正在使用Plotly最新的,我使用"Pip install Plotly"安装)
import pandas as pd # package for high-performance, easy-to-use data
structures and data analysis
import numpy as np # fundamental package for scientific computing with Python
import matplotlib
import matplotlib.pyplot as plt # for plotting
import seaborn as sns # for making plots with seaborn
color = sns.color_palette()
import plotly.offline as py
py.init_notebook_mode(connected=True)
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode(connected=True)
import plotly.graph_objs as go
import plotly.offline as offline
offline.init_notebook_mode()
from plotly import tools
import plotly.tools as tls
import squarify
from mpl_toolkits.basemap import Basemap
from numpy import array
from matplotlib import cm
# import cufflinks and offline mode
import cufflinks as cf
cf.go_offline()
# from sklearn import preprocessing
# # Supress unnecessary warnings so that presentation looks clean
import warnings
warnings.filterwarnings("ignore")
# # Print all rows and columns
pd.set_option('display.max_columns', None)
# pd.set_option('display.max_rows', None)
*************************************************
temp = application_train["TARGET"].value_counts()
df = pd.DataFrame({'labels': temp.index,
'values': temp.values
})
df.iplot(kind='scatter',labels='labels',values='values', title='Loan
Repayed or not')
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ValueError Traceback (most recent call last)
<ipython-input-63-2c9a8a530884> in <module>()
3 'values': temp.values
4 })
----> 5 df.iplot(kind='scatter',labels='labels',values='values', title='Loan
Repayed or not')
C:\ProgramData\Anaconda3\lib\site-packages\cufflinks\plotlytools.py in
_iplot(self, data, layout, filename, sharing, kind, title, xTitle, yTitle,
zTitle, theme, colors, colorscale, fill, width, dash, mode, symbol, size,
barmode, sortbars, bargap, bargroupgap, bins, histnorm, histfunc,
orientation,
boxpoints, annotations, keys, bestfit, bestfit_colors, mean, mean_colors,
categories, x, y, z, text, gridcolor, zerolinecolor, margin, labels, values,
secondary_y, secondary_y_title, subplots, shape, error_x, error_y,
error_type,
locations, lon, lat, asFrame, asDates, asFigure, asImage, dimensions, asPlot,
asUrl, online, **kwargs)
698
bargap=bargap,bargroupgap=bargroupgap,
annotations=annotations,gridcolor=gridcolor
,
699
dimensions=dimensions,
--> 700
zerolinecolor=zerolinecolor,margin=margin,is3d='3d' in kind,**l_kwargs)
701
702 if not data:
C:\ProgramData\Anaconda3\lib\site-packages\cufflinks\tools.py in
getLayout(kind,
theme, title, xTitle, yTitle, zTitle, barmode, bargap, bargroupgap, margin,
dimensions, width, height, annotations, is3d, **kwargs)
197
198 theme_data = getTheme(theme)
--> 199 layout=Layout(theme_data['layout'])
200 layout['xaxis1'].update({'title':xTitle})
201 layout['yaxis1'].update({'title':yTitle})
C:\ProgramData\Anaconda3\lib\site-packages\plotly\graph_objs\_layout.py in
__init__(self, arg, angularaxis, annotations, autosize, bargap, bargroupgap,
barmode, barnorm, boxgap, boxgroupgap, boxmode, calendar, colorway,
datarevision,
direction, dragmode, font, geo, grid, height, hiddenlabels, hiddenlabelssrc,
hidesources, hoverdistance, hoverlabel, hovermode, images, legend, mapbox,
margin, orientation, paper_bgcolor, plot_bgcolor, polar, radialaxis, scene,
selectdirection, separators, shapes, showlegend, sliders, spikedistance,
template, ternary, title, titlefont, updatemenus, violingap, violingroupgap,
violinmode, width, xaxis, yaxis, **kwargs)
C:\ProgramData\Anaconda3\lib\site-packages\plotly\basedatatypes.py in
__setattr__(self, prop, value)
C:\ProgramData\Anaconda3\lib\site-packages\plotly\basedatatypes.py in
__setattr__(self, prop, value)
C:\ProgramData\Anaconda3\lib\site-packages\plotly\graph_objs\_layout.py in
legend(self, val)
C:\ProgramData\Anaconda3\lib\site-packages\plotly\basedatatypes.py in
__setitem__(self, prop, value)
C:\ProgramData\Anaconda3\lib\site-packages\plotly\basedatatypes.py in
__setitem__(self, prop, value)
C:\ProgramData\Anaconda3\lib\site-packages\plotly\basedatatypes.py in
_set_compound_prop(self, prop, val)
C:\ProgramData\Anaconda3\lib\site-packages\_plotly_utils\basevalidators.py in
validate_coerce(self, v)
C:\ProgramData\Anaconda3\lib\site-
packages\plotly\graph_objs\layout\_legend.py in
__init__(self, arg, bgcolor, bordercolor, borderwidth, font, orientation,
tracegroupgap, traceorder, x, xanchor, y, yanchor, **kwargs)
C:\ProgramData\Anaconda3\lib\site-packages\plotly\basedatatypes.py in
__setattr__(self, prop, value)
C:\ProgramData\Anaconda3\lib\site-
packages\plotly\graph_objs\layout\_legend.py in
bgcolor(self, val)
C:\ProgramData\Anaconda3\lib\site-packages\plotly\basedatatypes.py in
__setitem__(self, prop, value)
C:\ProgramData\Anaconda3\lib\site-packages\plotly\basedatatypes.py in
_set_prop(self, prop, val)
C:\ProgramData\Anaconda3\lib\site-packages\_plotly_utils\basevalidators.py in
validate_coerce(self, v, should_raise)
C:\ProgramData\Anaconda3\lib\site-packages\_plotly_utils\basevalidators.py in
raise_invalid_val(self, v)
ValueError:
Invalid value of type 'builtins.str' received for the 'bgcolor' property of
layout.legend
Received value: 'pearl02'
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, saddlebrown, salmon, sandybrown,
seagreen, seashell, sienna, silver, skyblue,
slateblue, slategray, slategrey, snow, springgreen,
steelblue, tan, teal, thistle, tomato, turquoise,
violet, wheat, white, whitesmoke, yellow,
yellowgreen
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更新:
在进一步研究问题之后,问题在于袖扣内部文件.袖扣与最新版本的版本存在兼容性问题,在此讨论Github Issue
,您可以尝试使用以下命令降级为"plotly 2.7".这样就可以消除这些错误.
pip uninstall plotly
pip install plotly==2.7.0
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正如您在日志中看到的那样,请参考以下行,它告诉我们实际问题.
--> 199 layout=Layout(theme_data['layout'])
这行的错误是.
ValueError:
Invalid value of type 'builtins.str' received for the 'bgcolor' property of
layout.legend
Received value: 'pearl02'
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure...
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因此,您需要将layout
对象的bgcolor
属性更改为其他内容pearl02
,这似乎是问题所在,您可以将布局对象属性更改为.
layout = {
'bgcolor': '#ffffff'
}
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请使用以下参考链接了解设置颜色值的不同方法.
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