import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pickle
java = pickle.load(open('JavaSafe.p','rb')) ##import 2d array
python = pickle.load(open('PythonSafe.p','rb')) ##import 2d array
javaFrame = pd.DataFrame(java,columns=['Town','Java Jobs'])
pythonFrame = pd.DataFrame(python,columns=['Town','Python Jobs'])
javaFrame = javaFrame.sort_values(by='Java Jobs',ascending=False)
pythonFrame = pythonFrame.sort_values(by='Python Jobs',ascending=False)
print(javaFrame,"\n",pythonFrame)
该代码包含以下内容：
Town Java Jobs
435 York,NY 3593
212 NewYork,NY 3585
584 Seattle,WA 2080
624 Chicago,IL 1920
301 Boston,MA 1571
...
79 Holland,MI 5
38 Manhattan,KS 5
497 Vernon,IL 5
30 Clayton,MO 5
90 Waukegan,IL 5
[653 rows x 2 columns]
Town Python Jobs
160 NewYork,NY 2949
11 York,NY 2938
349 Seattle,WA 1321
91 Chicago,IL 1312
167 Boston,MA 1117
383 Hanover,NH 5
209 Bulverde,TX 5
203 Salisbury,NC 5
67 Rockford,IL 5
256 Ventura,CA 5
[416 rows x 2 columns]
我想制作一个使用城镇名称作为索引并为每个java和python设置一列的新数据框。但是，某些城镇仅会使用其中一种语言的结果。
import pandas as pd
javaFrame = pd.DataFrame({'Java Jobs': [3593, 3585, 2080, 1920, 1571, 5, 5, 5, 5, 5],
'Town': ['York,NY', 'NewYork,NY', 'Seattle,WA', 'Chicago,IL', 'Boston,MA', 'Holland,MI', 'Manhattan,KS', 'Vernon,IL', 'Clayton,MO', 'Waukegan,IL']}, index=[435, 212, 584, 624, 301, 79, 38, 497, 30, 90])
pythonFrame = pd.DataFrame({'Python Jobs': [2949, 2938, 1321, 1312, 1117, 5, 5, 5, 5, 5],
'Town': ['NewYork,NY', 'York,NY', 'Seattle,WA', 'Chicago,IL', 'Boston,MA', 'Hanover,NH', 'Bulverde,TX', 'Salisbury,NC', 'Rockford,IL', 'Ventura,CA']}, index=[160, 11, 349, 91, 167, 383, 209, 203, 67, 256])
result = pd.merge(javaFrame, pythonFrame, how='outer').set_index('Town')
# Java Jobs Python Jobs
# Town
# York,NY 3593.0 2938.0
# NewYork,NY 3585.0 2949.0
# Seattle,WA 2080.0 1321.0
# Chicago,IL 1920.0 1312.0
# Boston,MA 1571.0 1117.0
# Holland,MI 5.0 NaN
# Manhattan,KS 5.0 NaN
# Vernon,IL 5.0 NaN
# Clayton,MO 5.0 NaN
# Waukegan,IL 5.0 NaN
# Hanover,NH NaN 5.0
# Bulverde,TX NaN 5.0
# Salisbury,NC NaN 5.0
# Rockford,IL NaN 5.0
# Ventura,CA NaN 5.0
pd.merge默认情况下，将在共享的所有列上加入两个DataFrame。在这种情况下，javaFrame并且pythonFrame仅共享Town的公共列。因此，默认情况下pd.merge会将Town列上的两个DataFrames连接起来。
how='outer导致pd.merge使用两个框架中的键的并集。换句话说，它会导致pd.merge返回行，其数据来自两种javaFrame或pythonFrame即使只有一个数据帧中包含的Town。丢失的数据用NaNs填充。
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