pandas创建数据表及数据读写

import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randn(5, 3), index=['a', 'c', 'e', 'f', 'h'],
                  columns=['one', 'two', 'three'])#创建一个数据表格
df['four'] = 'bar'#加入新的一列
df['five'] = df['one'] > 0#加入新的一列，通过判断数据大小加入bool型列
df['six'] = 'ball'

df

	one	two	three	four	five	six
a	-0.789719	0.821745	0.441262	bar	False	ball
c	-0.305278	-2.424853	1.876305	bar	False	ball
e	1.009320	-0.820649	-0.022101	bar	True	ball
f	0.490864	-0.196651	-1.365382	bar	True	ball
h	-1.342600	-0.054322	0.196686	bar	False	ball

df2 = df.reindex(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'])#增加新的行并填充为NaN

df2

	one	two	three	four	five	six
a	0.949488	0.851231	-0.654962	bar	True	ball
b	NaN	NaN	NaN	NaN	NaN	NaN
c	0.785113	-0.640581	-0.532271	bar	True	ball
d	NaN	NaN	NaN	NaN	NaN	NaN
e	-0.231192	1.740489	0.421804	bar	False	ball
f	-0.474195	0.255573	0.057918	bar	False	ball
g	NaN	NaN	NaN	NaN	NaN	NaN
h	1.340623	0.793281	-0.114751	bar	True	ball

df2['one']=df2['one'].fillna(0)#按列填充

df2

	one	two	three	four	five	six
a	0.949488	0.851231	-0.654962	bar	True	ball
b	0.000000	NaN	NaN	NaN	NaN	NaN
c	0.785113	-0.640581	-0.532271	bar	True	ball
d	0.000000	NaN	NaN	NaN	NaN	NaN
e	-0.231192	1.740489	0.421804	bar	False	ball
f	-0.474195	0.255573	0.057918	bar	False	ball
g	0.000000	NaN	NaN	NaN	NaN	NaN
h	1.340623	0.793281	-0.114751	bar	True	ball

读取Excel数据

#读取excel数据
import pandas as pd
FileReadPath = r"D:\AI\Others\test.xlsx"
df = pd.read_excel(FileReadPath)
df.head()

写Excel数据

#把数据写入Excel
import pandas as pd
data = {'country':['aaa','btb','ccc'],  
       'population':[10,12,14]}  
df = pd.DataFrame(data)#构建DataFrame结构  
FileWritePath = r"D:\AI\Others\test1.xlsx"
writer = pd.ExcelWriter(FileWritePath)
df.to_excel(writer,'Sheet1')
writer.save()