如何在Python中为dataframe列中的唯一条目绘制条形图？

我这里有一个数据帧，在

df_mo4['time_window']

，

2018-09-26 11:30:00

到

2018-09-26 11:32:30

和

2018-09-26 11:32:30

到

2018-09-26 11:35:00

。我想画两组条形图（不是子图），其中第一个条形图描绘了一个时间窗口中单个ID的平均、最大和最小时间，下一个条形图描绘了另一个时间窗口中的相同数据，我该怎么做？此外，我希望标题类似于持续时间（时间窗口）。谢谢大家!

df.plot(kind='bar')
plt.title('Duration \n {}'.format(df['time_window']))
plt.ylabel('Time (s)')
plt.xlabel('ID')
plt.legend(['Mean Time (s)', 'Minimum Time (s)', 'Maximum Time (s)'], loc='upper right')
plt.xticks(np.arange(len(df['ID'])), df['ID'], fontsize=5)
plt.show()

样本数据：

       ID  time_window                         mean_time   min_time    max_time 
0  8027  2018-09-26 11:30:00 to 2018-09-26 11:32:30  0.101679 0.056412 0.340988
1  8027  2018-09-26 11:32:30 to 2018-09-26 11:35:00  0.090957 0.052196 0.323442
2  8028  2018-09-26 11:30:00 to 2018-09-26 11:32:30  0.199167 0.076872 0.614797       
3  8028  2018-09-26 11:32:30 to 2018-09-26 11:35:00  0.239885 0.062660 0.590710     
4  8029  2018-09-26 11:30:00 to 2018-09-26 11:32:30  0.243241 0.098516 0.5713      
5  8030  2018-09-26 11:30:00 to 2018-09-26 11:32:30  0.083064 0.055656 0.27892       
6  8031  2018-09-26 11:32:30 to 2018-09-26 11:35:00  0.134786 0.058290 0.51279        

---

我可以向您推荐以下代码：

#Read your Dataframe
df = pd.read_csv('Test.csv', index_col=None, header='infer', encoding="utf-8-sig")

#split the time_window column into two columns, so you can calculate Duration
df['start_time'], df['end_time'] = df['time_window'].str.split('to', 1).str

#convert start and ending time columns to datetime and ID to numeric
df[['start_time','end_time']] = df[['start_time','end_time']].apply(pd.to_datetime, format='%Y-%m-%d %H:%M:%S')
df["ID"] = pd.to_numeric(df["ID"])

#Calculate the duration of a time window and convert into seconds
df['Duration'] = df['start_time'] - df['end_time']
df['Duration']=df['Duration']/np.timedelta64(1,'s')

#plot 
ax = df.plot(x="ID", y=["min_time", "max_time", "mean_time"], kind="bar", rot=25)
ax.set_xlabel("Instances (ID)")
ax.set_ylabel("Duraction(s)")
ax.set_title("Visualization")

rects = ax.patches
labels = df['Duration']

for rect, label in zip(rects, labels):
     height = rect.get_height()
     ax.text(rect.get_x() + rect.get_width(), height+0.3, label,
             ha='center', va='bottom')

这将产生以下数据帧和绘图

这就是你要找的吗？你说你不想要子图，但听起来好像你想要每个ID都有一个单独的图