![](https://img2018.cnblogs.com/blog/1020928/201907/1020928-20190728114634630-1978496752.png)
pd.DataFrame({'Yes': [50, 21], 'No': [131, 2]})
![](https://img2018.cnblogs.com/blog/1020928/201907/1020928-20190728111148468-1456780097.png)
pd.DataFrame({'Bob': ['I liked it.', 'It was awful.'], 'Sue': ['Pretty good.', 'Bland.']})
![](https://img2018.cnblogs.com/blog/1020928/201907/1020928-20190728111216404-607085455.png)
pd.DataFrame({'Bob': ['I liked it.', 'It was awful.'],
'Sue': ['Pretty good.', 'Bland.']},
index=['Product A', 'Product B'])
![](https://img2018.cnblogs.com/blog/1020928/201907/1020928-20190728111245118-208329112.png)
pd.Series([1, 2, 3, 4, 5])
![](https://img2018.cnblogs.com/blog/1020928/201907/1020928-20190728111317393-801703035.png)
pd.Series([30, 35, 40], index=['2015 Sales', '2016 Sales', '2017 Sales'], name='Product A')
![](https://img2018.cnblogs.com/blog/1020928/201907/1020928-20190728111346782-1541538365.png)
wine_reviews = pd.read_csv("F:\kaggleDataSet\kepler-exoplanet-search-results\winemag-data-130k-v2.csv")
![](https://img2018.cnblogs.com/blog/1020928/201907/1020928-20190728112247222-699273108.png)
![](https://img2018.cnblogs.com/blog/1020928/201907/1020928-20190728112319445-646625647.png)
wine_reviews = pd.read_csv("F:\kaggleDataSet\kepler-exoplanet-search-results\winemag-data-130k-v2.csv", index_col=0)
wine_reviews.head()
![](https://img2018.cnblogs.com/blog/1020928/201907/1020928-20190728112401207-747710924.png)
import sqlite3
conn = sqlite3.connect("F:\kaggleDataSet\kepler-exoplanet-search-results\FPA_FOD_20170508.sqlite")
fires = pd.read_sql_query("SELECT * FROM fires", conn)
![](https://img2018.cnblogs.com/blog/1020928/201907/1020928-20190728114305715-1721912302.png)
wine_reviews.head().to_csv("F:\kaggleDataSet\kepler-exoplanet-search-results\wine_reviews.csv")
conn = sqlite3.connect("F:\kaggleDataSet\kepler-exoplanet-search-results\fires.sqlite")
fires.head(10).to_sql("fires", conn)