ax.tick_params(labelsize=22,  labelcolor='#00000077', top = False,  left=False)

ax.tick_params(labelsize=22,  labelcolor='#BDBDBD', top = False,  left=False)

url='https://raw.githubusercontent.com/Curbal-Data-Labs/Matplotlib-Labs/master/2018w48.csv'dataset=pd.read_csv(url)dataset.drop_duplicates(['city','item'],inplace=True)dataset.pivot_table(index='city',columns='item',values='cost',aggfunc='sum',margins=True).sort_values('All',ascending=True).drop('All',axis=1)df=dataset.pivot_table(index='city',columns='item',values='cost',aggfunc='sum',margins=True).sort_values('All',ascending=True).drop('All',axis=1).sort_values('All',ascending=False,axis=1).drop('All').reset_index()# comma replaceforcindf.columns[1:]:df[c]=df[c].str.replace(',','.').astype(float)fig,axes=plt.subplots(nrows=1,ncols=5,figsize=(30,10),sharey=True)colors= ['green','blue','red','black','brown']col_names= ['Dinner','Drinks at Dinner','2 Longdrinks','Club entry','Cinema entry']fori, (ax,col,c)inenumerate(zip(axes.ravel(),col_names,colors)):ax.plot(df.loc[:,col],df['city'],marker='o',markersize=25,lw=0,color=c)ax.set_title(col)fori,jinzip(df[col],df['city']):ax.annotate('$'+str(i),xy=(i,j),xytext=(i-4,j),color="white",fontsize=8)ax.set_xticks([])ax.spines[['top','right','left','bottom']].set_visible(False)ax.grid(True,axis='y',linestyle='solid',linewidth=2)ax.grid(True,axis='x',linestyle='solid',linewidth=0.2)ax.xaxis.tick_top()ax.xaxis.set_label_position('top')ax.set_xlim(xmin=0,xmax=160)ax.xaxis.set_major_formatter('${x:1.0f}')ax.tick_params(labelsize=8,labelcolor=#bdbdbd, top=False, left=False)plt.show()