我创建了以下数据框df：
设置：
import pandas as pd
import numpy as np
import random
import copy
import feather
import matplotlib.pyplot as plt
from statsmodels.graphics.mosaicplot import mosaic
import plotly.graph_objects as go
import plotly.express as px
import panel as pn
import holoviews as hv
import geoviews as gv
import geoviews.feature as gf
import cartopy
import cartopy.feature as cf
from geoviews import opts
from cartopy import crs as ccrs
import hvplot.pandas
import colorcet as cc
from colorcet.plotting import swatch
#pn.extension() # commented out as this causes an intermittent javascript error
gv.extension("bokeh")
cols = {"name":["Jim","Alice","Bob","Julia","Fern","Bill","Jordan","Pip","Shelly","Mimi"],
"age":[19,26,37,45,56,71,20,36,37,55],
"sex":["Male","Female","Male","Female","Female","Male","Male","Male","Female","Female"],
"age_band":["18-24","25-34","35-44","45-54","55-64","65-74","18-24","35-44","35-44","55-64"],
"insurance_renew_month":[1,2,3,3,3,4,5,5,6,7],
"postcode_prefix":["EH","M","G","EH","EH","M","G","EH","M","EH"],
"postcode_order":[3,2,1,3,3,2,1,3,2,3],
"local_authority_district":["S12000036","E08000003","S12000049","S12000036","S12000036","E08000003","S12000036","E08000003","S12000049","S12000036"],
"blah1":[3,None,None,8,8,None,1,None,None,None],
"blah2":[None,None,None,33,5,None,66,3,22,3],
"blah3":["A",None,"A",None,"C",None,None,None,None,None],
"blah4":[None,None,None,None,None,None,None,None,None,1]}
df = pd.DataFrame.from_dict(cols)
df
Out[2]:
name age sex age_band ... blah1 blah2 blah3 blah4
0 Jim 19 Male 18-24 ... 3.0 NaN A NaN
1 Alice 26 Female 25-34 ... NaN NaN None NaN
2 Bob 37 Male 35-44 ... NaN NaN A NaN
3 Julia 45 Female 45-54 ... 8.0 33.0 None NaN
4 Fern 56 Female 55-64 ... 8.0 5.0 C NaN
5 Bill 71 Male 65-74 ... NaN NaN None NaN
6 Jordan 20 Male 18-24 ... 1.0 66.0 None NaN
7 Pip 36 Male 35-44 ... NaN 3.0 None NaN
8 Shelly 37 Female 35-44 ... NaN 22.0 None NaN
9 Mimi 55 Female 55-64 ... NaN 3.0 None 1.0
[10 rows x 12 columns]
df[["sex","age_band","postcode_prefix"]] = df[["sex","age_band","postcode_prefix"]].astype("category")
df.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 10 entries, 0 to 9
Data columns (total 12 columns):
name 10 non-null object
age 10 non-null int64
sex 10 non-null category
age_band 10 non-null category
insurance_renew_month 10 non-null int64
postcode_prefix 10 non-null category
postcode_order 10 non-null int64
local_authority_district 10 non-null object
blah1 4 non-null float64
blah2 6 non-null float64
blah3 3 non-null object
blah4 1 non-null float64
dtypes: category(3), float64(3), int64(3), object(3)
memory usage: 1.3+ KB
问题：
我可以使用以下代码成功创建马赛克图：
fig,ax = plt.subplots(figsize=(15,10))
mosaic(df,["sex", "age_band"],ax=ax);
但是，当我尝试使用以下方法创建相应的应用程序时遇到问题pn.interact：
categoric_cols = df.select_dtypes(include="category")
cat_atts = categoric_cols.columns.tolist()
cat_atts
Out[4]: ['sex', 'age_band', 'postcode_prefix']
def bivar_cat(x="sex",y="age_band"):
if x in cat_atts and y in cat_atts:
fig,ax = plt.subplots(figsize=(15,10))
return mosaic(df,[x,y],ax=ax);
app_df_cat = pn.interact(bivar_cat,x=cat_atts,y=cat_atts)
app_df_cat
结果如下：
上面渲染的马赛克图似乎对应于 x & y 的默认值（即sex& age_band）。当您从下拉列表中为 x 或 y 选择新属性时，马赛克图上方的文本会发生变化（此文本似乎是图的字符串表示形式），但马赛克图本身不会。
我的问题可能与必须注释掉 pn.extension() 有关吗？我发现当 pn.extension() 没有被注释掉时，它会导致间歇性的 javascript 错误，有时不会引发错误，有时会出现错误，但我的面板应用程序仍然会加载，有时会出现错误并崩溃我的浏览器。（我在这里省略了 javascript 错误，因为它可能非常大 - 如果它有帮助，我可以将它添加到我的帖子中。）我会说这个错误被提出的次数比没有发生的要多得多。
奇怪的是，在我创建的其他应用程序中，我没有观察到我省略 pn.extension() 与包含它的任何区别。但是，由于文档始终指定您包含它，我原以为我必须设置适当的扩展才能使所有绘图正常工作？（我已经在这些其他应用程序中成功地绘制了 plotly、hvplot、holoviews 和 geoviews 绘图，包括和不包括 pn.extension() 和 pn.extension("plotly")）。
是否可以根据马赛克图制作面板应用程序？
谢谢
软件信息：
os x Catalina
browser Firefox
python 3.7.5
notebook 6.0.2
pandas 0.25.3
panel 0.7.0
plotly 4.3.0
plotly_express 0.4.1
holoviews 1.12.6
geoviews 1.6.5
hvplot 0.5.2