How to Select Data Reside in Column Above or Below or Equal to a Specified Value In Pandas

import pandas as pd

amazon_0 = pd.read_csv(r"C:\Users\User\Desktop\archive\amazon.csv",index_col=0)

amazon_0.head()

	Category	Product Link	No of Sellers	Rank	Rating	Reviews Count	Price
ASIN
B079QHML21	Electronics	https://www.amazon.com/gp/offer-listing/B079QH...	1 Sellers	#1	4.7	640,721	$39.99
B07FZ8S74R	Electronics	https://www.amazon.com/gp/offer-listing/B07FZ8...	1 Sellers	#2	4.7	854,114	$34.99
B07XJ8C8F5	Electronics	https://www.amazon.com/gp/offer-listing/B07XJ8...	1 Sellers	#3	4.7	267,821	$44.99
B07WVFCVJN	Electronics	https://www.amazon.com/gp/offer-listing/B07WVF...	27 Sellers	#4	4.8	114,267	$28.48
B08YT2N5SX	Electronics	https://www.amazon.com/gp/offer-listing/B08YT2...	1 Sellers	#5	4.7	267,821	$49.99

amazon_rate = amazon_0['Rating']

amazon_rate

ASIN
B079QHML21    4.7
B07FZ8S74R    4.7
B07XJ8C8F5    4.7
B07WVFCVJN    4.8
B08YT2N5SX    4.7
             ... 
B007DW6F34    4.6
B01N16VX79    4.7
B09197N995    4.8
B015CCR1FW    4.7
B07TS96J7Q    4.7
Name: Rating, Length: 707, dtype: float64

Select Rating more than 4.7 Only

amazon_48 = amazon_rate >4.7

amazon_48

ASIN
B079QHML21    False
B07FZ8S74R    False
B07XJ8C8F5    False
B07WVFCVJN     True
B08YT2N5SX    False
              ...  
B007DW6F34    False
B01N16VX79    False
B09197N995     True
B015CCR1FW    False
B07TS96J7Q    False
Name: Rating, Length: 707, dtype: bool

Print Out the Complete Row and Column with Rating more than 4.7

amazon48Data=pd.DataFrame(amazon_0[amazon_48])

amazon48Data

	Category	Product Link	No of Sellers	Rank	Rating	Reviews Count	Price
ASIN
B07WVFCVJN	Electronics	https://www.amazon.com/gp/offer-listing/B07WVF...	27 Sellers	#4	4.8	114,267	$28.48
B00EB4ADQW	Electronics	https://www.amazon.com/gp/offer-listing/B00EB4...	32 Sellers	#19	4.8	59,785	$13.22
B00DOMYL24	Electronics	https://www.amazon.com/gp/offer-listing/B00DOM...	19 Sellers	#32	4.8	44,320	$12.75
B015IY34FA	Electronics	https://www.amazon.com/gp/offer-listing/B015IY...	19 Sellers	#41	4.8	38,743	$37.09
B08J61NFNR	Electronics	https://www.amazon.com/gp/offer-listing/B08J61...	6 Sellers	#47	4.9	44,087	$395.00
...	...	...	...	...	...	...	...
B07P6RFKRL	Toys & Games	https://www.amazon.com/gp/offer-listing/B07P6R...	15 Sellers	#89	4.8	17,537	$14.95
B01BX4G6FY	Toys & Games	https://www.amazon.com/gp/offer-listing/B01BX4...	19 Sellers	#91	4.8	14,866	$22.18
B08XN821N5	Toys & Games	https://www.amazon.com/gp/offer-listing/B08XN8...	1 Sellers	#93	4.8	18,647	$9.98
B00000IZJB	Toys & Games	https://www.amazon.com/gp/offer-listing/B00000...	56 Sellers	#94	4.8	22,385	$14.97
B09197N995	Toys & Games	https://www.amazon.com/gp/offer-listing/B09197...	1 Sellers	#97	4.8	9,121	$8.99

231 rows × 7 columns