1 eq equal to 等于 2 ne not equal to 不等于 3 lt less than 小于 4 gt greater than 大于 5 le less than or equal to 小于等于 6 ge greater than or equal to 大于等于 In [46]: df.gt(df2) Out[46]: one two three a False False Fals
55,65],'C':['pandasdataframe.com','pandasdataframe.com','pandasdataframe.com']})# 定义一个包含条件逻辑的函数defcheck_a(row):ifrow['A']>20:return'Greater than 20'else:return'Less or equal to 20'# 应用函数df['A_Check']=df.apply(check_a,axis=1)print(df)...
>>> 5 + 9 # plus operator example adds 5 and 9 14 >>> 4 ** 2 # exponentiation operator raises 4 to the second power 16 >>> a = 10 # assignment operator assigns 10 to a >>> 5 <= 9 # less than or equal to operator returns a boolean True 运算符可以处理任何类型的对象,而不...
>>> 5 + 9 # plus operator example adds 5 and 914>>> 4 ** 2 # exponentiation operator raises 4 to the second power16>>> a = 10 # assignment operator assigns 10 to a>>> 5 <= 9 # less than or equal to operator returns a booleanTrue 运算符可以处理任何类型的对象,而不仅仅是数字...
The KGP DataFrame is:Name Age Weight(KG)A Himansh 31 75B Prateek 33 75C Abhishek 35 80D Vidit 36 70E Anupam 34 73The DataFrame of folks with age less than or equal to 33 are:Name Age Weight(KG)C Abhishek 35 80D Vidit 36 70E Anupam 34 73 ...
进制比较方法eq, ne, lt, gt, le和ge的广播行为类似于上面的二进制算术: | 方法 | 英文 | 中文 | | ---| ---| ---| |eq|equal to|等于| |ne|not equal to |不等于| |lt|less than|小于| |gt|greater than|大于| |le|less than or equal to|小等于| |ge|greater than or equal to|...
le() Returns True for values less than, or equal to the specified value(s), otherwise False loc Get or set the value of a group of elements specified using their labels lt() Returns True for values less than the specified value(s), otherwise False keys() Returns the keys of the info...
A“backward” search selects the last row in the right DataFrame whose ‘on’ key is less than or equal to the left’s key. A“forward” search selects the first row in the right DataFrame whose ‘on’ key is greater than or equal to the left’s key. ...
Series([10, 20, 30, 40, 50]) # Display the Series print("Pandas Series:\n", s) # Perform comparison operations print("\nLess than 25:\n", s.lt(25)) print("\nGreater than 25:\n", s.gt(25)) print("\nLess than or equal to 30:\n", s.le(30)) print("\nGreater than...
1eqequalto等于 2nnotequalto不等于 3ltlessthan小于 4gtgreaterthan大于 5llessthanorequalto小于等于 6ggreaterthanorequalto大于等于 In[46]:df.gt(df2) Out[46]: onetwothr aFalsFalsFals bFalsFalsFals cFalsFalsFals dFalsFalsFals In[47]:df2.ne(df) ...