摘要：
```python
import pandas as pd
import matplotlib.pyplot as plt women_degrees = pd.read_csv('percent-bachelors-degrees-women-usa.csv')
major_cats = ['Biology', 'Computer Science', 'Engineering', 'Math ... 阅读全文
摘要：
Text(0.5, 1.0, 'Percentage of Biology Degrees Awarded By Gender') 阅读全文
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FILM RT_user_norm Metacritic_user_nom \ 0 Avengers: Age of Ultron (2015) 4.3 3.55 1 Cinderella (2015) 4.0 3.75 2 Ant Man (2015) 4.5 4.05 3 Do You Beli 阅读全文
摘要：
FILM RT_user_norm \ 0 Avengers: Age of Ultron (2015) 4.30 1 Cinderella (2015) 4.00 2 Ant Man (2015) 4.50 3 Do You Believe? (2015) 4.20 4 Hot Tub Time 阅读全文
摘要：
```python import pandas as pd import matplotlib.pyplot as plt unrate = pd.read_csv('unrate.csv') unrate['DATE'] = pd.to_datetime(unrate['DATE']) first_twelve = unrate[0:12] plt.plot(first_twelve['DAT... 阅读全文
摘要：
DATE VALUE 0 1948 01 01 3.4 1 1948 02 01 3.8 2 1948 03 01 4.0 3 1948 04 01 3.9 4 1948 05 01 3.5 5 1948 06 01 3.6 6 1948 07 01 3.6 7 1948 08 01 3.9 8 1 阅读全文
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Index(['Avengers: Age of Ultron (2015)', 'Cinderella (2015)', 'Ant Man (2015)', 'Do You Believe? (2015)', 'Hot Tub Time Machine 2 (2015)', 'The Water 阅读全文
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0 Avengers: Age of Ultron (2015) 1 Cinderella (2015) 2 Ant Man (2015) 3 Do You Believe? (2015) 4 Hot Tub Time Machine 2 (2015) Name: FILM, dtype: obje 阅读全文
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(891, 12) 0 22.0 1 38.0 2 26.0 3 35.0 4 35.0 5 NaN 6 54.0 7 2.0 8 27.0 9 14.0 10 4.0 Name: Age, dtype: float64 0 False 1 False 2 False 3 False 4 False 阅读全文
摘要：
['NDB_No', 'Shrt_Desc', 'Water_(g)', 'Energ_Kcal', 'Protein_(g)', 'Lipid_Tot_(g)', 'Ash_(g)', 'Carbohydrt_(g)', 'Fiber_TD_(g)', 'Sugar_Tot_(g)', 'Calc 阅读全文
摘要：
NDB_No int64 Shrt_Desc object Water_(g) float64 Energ_Kcal int64 Protein_(g) float64 Lipid_Tot_(g) float64 Ash_(g) float64 Carbohydrt_(g) float64 Fibe 阅读全文
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[[ 0. 0.84147098 0.90929743 0.14112001] [ 0.7568025 0.95892427 0.2794155 0.6569866 ] [ 0.98935825 0.41211849 0.54402111 0.99999021] [ 0.53657292 0.420 阅读全文
摘要：
array([[ 0, 1, 2, 3, 4], [ 5, 6, 7, 8, 9], [10, 11, 12, 13, 14]]) (3, 5) 2 'int64' 15 array([[0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.]]) ar 阅读全文
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[0 1 2] [1. 2.71828183 7.3890561 ] [0. 1. 1.41421356] [[6. 7. 8. 7.] [3. 8. 6. 7.] [0. 4. 2. 1.]] (3, 4) [6. 7. 8. 7. 3. 8. 6. 7. 0. 4. 2. 1.] [[6. 7. 阅读全文
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array([False, True, False, False]) array([[False, False, False], [False, True, False], [False, False, False]]) [False True False False] [10] [False Tr 阅读全文
摘要：
[ 5 10 15 20] [[ 5 10 12] [20 25 30] [35 40 45]] (5,) (2, 3) ['1' '2' '3' '4.0'] dtype(' 阅读全文