temp_2019.py

for i, city in enumerate(cityList):
    ax = fig.add_subplot(gs[i+2, 0:9], ylim=(-30, 30))
    
    df_tmp = df.loc[df['City'] == city]
    # color scheme
    colors = cm.RdYlBu_r(df_tmp.max_tmp_day / max(df_tmp.max_tmp_day))
    ax.bar(df_tmp.Date, df_tmp.max_tmp_day - mean_temp, label='_1', color=colors,
           width=0.7, align="edge")
    
    # annotation for highest temp.
    highDate = df_tmp.loc[df_tmp['max_tmp_day'] == max(df_tmp.max_tmp_day)].Date
    highTemp = max(df_tmp.max_tmp_day) - mean_temp
    ax.annotate("Highest Temp.{}$^\circ$C\n{}".format(max(df_tmp.max_tmp_day), str(highDate)[-36:-26]),
                xy=(highDate, highTemp), xycoords='data',
                xytext=(highDate+timedelta(days=10), highTemp+5), textcoords='data',
                size=6,
                color='#e3e3e3',
                arrowprops=dict(arrowstyle="->",
                                connectionstyle="arc3, rad=.3",
                                color='#e3e3e3')
               )
    # annotation for lowest temp.
    lowDate = df_tmp.loc[df_tmp['max_tmp_day'] == min(df_tmp.max_tmp_day)].Date
    lowTemp = min(df_tmp.max_tmp_day) - mean_temp
    ax.annotate("Lowest Temp.{}$^\circ$C\n{}".format(min(df_tmp.max_tmp_day), str(lowDate)[-36:-26]),
                xy=(lowDate, lowTemp), xycoords='data',
                xytext=(lowDate-timedelta(days=20), lowTemp-30), textcoords='data',
                size=6,
                color='#e3e3e3',
                arrowprops=dict(arrowstyle="->",
                                connectionstyle="arc3, rad=.3",
                                color='#e3e3e3')
               )
    
    # customise axes
    ax.spines['bottom'].set_color(None)  
    ax.spines['right'].set_color(None)  
    ax.spines['left'].set_color(None)  
    ax.spines['top'].set_color(None) 
    ax.get_xaxis().set_ticks([])
    ax.get_yaxis().set_ticks([])
    ax.set_ylabel(city.title(), rotation=0, color='#e3e3e3', fontsize=10, fontweight='bold')