绘制条形图和Groupby关键字

时间:2018-03-06 14:51:26

标签: python pandas plot

我有一个类似于:

的pandas数据框
Hospital                           2009-10  2010-11
Llandudno General Hospital         43       54
Dolgellau District Hospital        57       58
Deeside Community Hospital         120      140
Haverfordwest Mental Health Unit   34       30

我想用关键词制作不同类型医院的条形图,即'心理健康','区'。将所有“心理健康”医院分组在一起,将所有“地区”医院分组在一起等。

到目前为止,这是我的代码:

bedsByType = df[ ['Hospital', '2009-10', '2010-11'] ].groupby(['Mental Health', 'General' , 'Community','District'])

summedAndSortedBedsByType = bedsByType.sum().sort_values( '2009-10')

summedAndSortedBedsByType.plot.barh(figsize=(25,15), title='Different Types of Hospitals')

1 个答案:

答案 0 :(得分:1)

在您的问题中,您没有真正指定,如何确定您的群组。我假设存在类别列表。然后您可以创建图形,例如:

import pandas as pd
from matplotlib import pyplot as plt 

#sample df

                                Hospital  2009-10  2010-11
0             Llandudno General Hospital       43       54
1            Dolgellau District Hospital       57       58
2             Deeside Community Hospital      120      140
3       Haverfordwest Mental Health Unit       34       30
4  Morelake General Mental Health Clinic       37       39
5       Manderlay Mental Health Hospital       17       29
6             Cumbria Community Hospital       28       25
7                       Mayfair Hospital       17       19
8             New Kent District Hospital       14       17
#define categories in a list
groups = ["Mental Health", "General", "Community", "District"]
#create pattern for grouping
pattern = "|".join(groups)
#create new column with categories, if nothing applies use a fill value
df["type"] = df["Hospital"].str.extract("({})".format(pattern), expand = False).fillna("N/A")
#sum bed numbers for each category
df1 = df.groupby("type")["2009-10", "2010-11"].sum()
#create bar chart
df1.plot.barh(title = "Beds by hospital type")
plt.show()

输出: enter image description here

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