我想分開(kāi)出現(xiàn)在最終圖表上的圖。我有醫(yī)院的數(shù)據(jù)，這就是為什么我想分開(kāi)以便我有單獨(dú)的醫(yī)院圖表。每個(gè)醫(yī)院都有自己獨(dú)立的圖表。這是我的工作代碼# importsimport plotly.graph_objects as gofrom plotly.offline import iplotimport pandas as pdimport numpy as np# intialise data of lists. data = {'Name':['Nick hospital', 'Nick hospital','Nick hospital', 'Krish hospital', 'Krish hospital','Krish hospital'],         'NAR_forms_used':[2, 1,2, 2, 2,3]       } # Create DataFrame df = pd.DataFrame(data)# get counts per NAR typedf_nar=pd.DataFrame(df.groupby('Name')['NAR_forms_used'].value_counts())df_nar=df_nar.rename({'NAR_forms_used': 'NAR count'}, axis='columns')df_nar=df_nar.reset_index()# Manage NAR types (who knows, there may be more types with time?)nars = df_nar['NAR_forms_used'].unique()nars = nars.tolist()nars.sort(reverse=False)# set up plotly figurefig = go.Figure()# add one trace per NAR type and show counts per hospitalfor nar in nars:    # subset dataframe by NAR type    df_ply=df_nar[df_nar['NAR_forms_used']==nar]    # add trace    fig.add_trace(go.Bar(x=df_ply['Name'], y=df_ply['NAR count'], name='NAR Type='+str(nar)))# make the figure a bit more presentablefig.update_layout(title='NAR per hospital',                  yaxis=dict(title='<i>count of NAR types</i>'),                  xaxis=dict(title='<i>Hospital</i>',                            )                 )fig.show()如果您注意到最終圖表將所有醫(yī)院都放在一個(gè)圖表中，但我想將它們分開(kāi)并將每個(gè)醫(yī)院圖表分開(kāi)，以便我可以使用醫(yī)院的下拉選擇添加到儀表板上。請(qǐng)幫助我在尼克醫(yī)院中分離這個(gè)圖表輸出以擁有自己的圖表，這與Krish 醫(yī)院相同