写入到csv文件中：
import numpy as np
import pandas as pd
# 通过设置开始时间，并设置间隔了多少月
dates = pd.date_range('20130101',periods=1000)
df = pd.DataFrame(np.random.randn(1000,4),index=dates,columns=['A','B','C','D'])
print(df)
print("------------将df中的值写入foo.csv中---------------")
df.to_csv('foo.csv')
print("------------从foo.csv中读取数据---------------")
print(pd.read_csv('foo.csv'))
输出结果：
A B C D
2013-01-01 -0.028544 -2.597953 -0.645116 0.403488
2013-01-02 -0.109636 -0.866292 -0.629185 1.072633
2013-01-03 -1.435202 -0.631815 1.208114 -1.647566
2013-01-04 0.368530 -1.073754 -0.712305 -0.513142
2013-01-05 0.813674 -0.081024 -1.153747 0.409363
... ... ... ...
2015-09-23 0.783858 -0.330685 0.323741 1.767446
2015-09-24 0.017313 -1.792078 0.686136 0.122491
2015-09-25 0.100742 -1.802797 0.370563 1.297355
2015-09-26 -0.279896 -0.439861 -0.595908 -0.663100
2015-09-27 -0.519504 -1.476432 -0.877358 0.370039
[1000 rows x 4 columns]
------------将df中的值写入foo.csv中---------------
------------从foo.csv中读取数据---------------
Unnamed: 0 A B C D
0 2013-01-01 -0.028544 -2.597953 -0.645116 0.403488
1 2013-01-02 -0.109636 -0.866292 -0.629185 1.072633
2 2013-01-03 -1.435202 -0.631815 1.208114 -1.647566
3 2013-01-04 0.368530 -1.073754 -0.712305 -0.513142
4 2013-01-05 0.813674 -0.081024 -1.153747 0.409363
.. ... ... ... ... ...
995 2015-09-23 0.783858 -0.330685 0.323741 1.767446
996 2015-09-24 0.017313 -1.792078 0.686136 0.122491
997 2015-09-25 0.100742 -1.802797 0.370563 1.297355
998 2015-09-26 -0.279896 -0.439861 -0.595908 -0.663100
999 2015-09-27 -0.519504 -1.476432 -0.877358 0.370039
[1000 rows x 5 columns]
其中foo.csv文件的内容如下：
import numpy as np
import pandas as pd
# 通过设置开始时间，并设置间隔了多少月
dates = pd.date_range('20130101',periods=1000)
df = pd.DataFrame(np.random.randn(1000,4),index=dates,columns=['A','B','C','D'])
print(df)
print("------------将df中的值写入foo.h5中---------------")
df.to_hdf('foo.h5','df')
print("------------从foo.h5中读取数据---------------")
print(pd.read_hdf('foo.h5','df'))
输出结果：
A B C D
2013-01-01 -0.204194 -0.753567 -2.020068 1.040021
2013-01-02 0.615229 -0.992105 -0.316031 -1.580913
2013-01-03 0.074039 1.371853 1.083735 1.884807
2013-01-04 0.953756 0.682357 -0.163207 1.481403
2013-01-05 2.054147 0.320839 -0.729104 -0.258073
... ... ... ...
2015-09-23 -0.058096 -0.230227 -0.423717 -0.551585
2015-09-24 -0.648232 -3.164626 -0.754798 -0.526770
2015-09-25 1.081354 -0.227107 0.103386 1.851068
2015-09-26 -1.245665 -1.518204 0.724717 -0.449273
2015-09-27 0.506393 0.021668 -0.454937 -0.305513
[1000 rows x 4 columns]
------------将df中的值写入foo.h5中---------------
------------从foo.h5中读取数据---------------
A B C D
2013-01-01 -0.204194 -0.753567 -2.020068 1.040021
2013-01-02 0.615229 -0.992105 -0.316031 -1.580913
2013-01-03 0.074039 1.371853 1.083735 1.884807
2013-01-04 0.953756 0.682357 -0.163207 1.481403
2013-01-05 2.054147 0.320839 -0.729104 -0.258073
... ... ... ...
2015-09-23 -0.058096 -0.230227 -0.423717 -0.551585
2015-09-24 -0.648232 -3.164626 -0.754798 -0.526770
2015-09-25 1.081354 -0.227107 0.103386 1.851068
2015-09-26 -1.245665 -1.518204 0.724717 -0.449273
2015-09-27 0.506393 0.021668 -0.454937 -0.305513
[1000 rows x 4 columns]
其中foo.h5的内容如下：
import numpy as np
import pandas as pd
# 通过设置开始时间，并设置间隔了多少月
dates = pd.date_range('20130101',periods=1000)
df = pd.DataFrame(np.random.randn(1000,4),index=dates,columns=['A','B','C','D'])
print(df)
print("------------将df中的值写入foo.xlsx中---------------")
df.to_excel('foo.xlsx', sheet_name='Sheet1')
print("------------从foo.xlsx中读取数据---------------")
print(pd.read_excel('foo.xlsx', 'Sheet1', index_col=None, na_values=['NA']))
输出结果：
A B C D
2013-01-01 0.017099 0.527402 0.788463 1.057703
2013-01-02 -0.882500 0.390921 -0.274687 0.870323
2013-01-03 0.404810 -3.034904 -0.527312 -0.076317
2013-01-04 -0.914031 -0.135346 0.027302 -1.019793
2013-01-05 -1.579522 -0.002635 -2.086708 -0.214567
... ... ... ...
2015-09-23 -0.421978 1.218736 0.281413 1.574465
2015-09-24 -0.886359 -1.567930 -0.749119 1.831692
2015-09-25 -1.589130 -0.938186 -0.502738 0.599511
2015-09-26 -0.286481 0.644640 0.005656 0.575317
2015-09-27 0.964874 -0.705497 1.027106 0.720334
[1000 rows x 4 columns]
------------将df中的值写入foo.xlsx中---------------
------------从foo.xlsx中读取数据---------------
Unnamed: 0 A B C D
0 2013-01-01 0.017099 0.527402 0.788463 1.057703
1 2013-01-02 -0.882500 0.390921 -0.274687 0.870323
2 2013-01-03 0.404810 -3.034904 -0.527312 -0.076317
3 2013-01-04 -0.914031 -0.135346 0.027302 -1.019793
4 2013-01-05 -1.579522 -0.002635 -2.086708 -0.214567
.. ... ... ... ... ...
995 2015-09-23 -0.421978 1.218736 0.281413 1.574465
996 2015-09-24 -0.886359 -1.567930 -0.749119 1.831692
997 2015-09-25 -1.589130 -0.938186 -0.502738 0.599511
998 2015-09-26 -0.286481 0.644640 0.005656 0.575317
999 2015-09-27 0.964874 -0.705497 1.027106 0.720334
[1000 rows x 5 columns]
其中foo.xlsx的内容如下：
