如何在 Pandas 中删除包含特定值的行？

在本文中，我们将讨论如何在 Pandas 中删除包含特定值的行。删除行意味着从数据框中删除值，我们可以使用条件或关系运算符删除特定值。

方法一：使用运算符删除特定值

我们可以使用 column_name函数和运算符来删除特定值。

Syntax: dataframe[dataframe.column_name operator value]

where

• dataframe is the input dataframe
• column_name is the value of that column to be dropped
• operator is the relational operator
• value is the specific value to be dropped from the particular column

使用不同的运算符删除列

Python3

# import pandas module
import pandas as pd
  
# create dataframe with 4 columns
data = pd.DataFrame({
  
    "name": ['sravan', 'jyothika', 'harsha', 'ramya',
             'sravan', 'jyothika', 'harsha', 'ramya',
             'sravan', 'jyothika', 'harsha', 'ramya'],
    "subjects": ['java', 'java', 'java', 'python',
                 'python', 'python', 'html/php', 'html/php',
                 'html/php', 'php/js', 'php/js', 'php/js'],
    "marks": [98, 79, 89, 97, 82, 98, 90,
              87, 78, 89, 93, 94]
})
  
# display
print(data)
  
print("---------------")
  
# drop rows where value is 98
# by using not equal operator
print(data[data.marks != 98])
  
print("---------------")

输出：

方法 2：删除列表中包含值的行

通过使用这种方法，我们可以删除列表中存在的多个值，我们使用的是 isin()运算符。此运算符用于检查给定值是否存在于列表中

Syntax: dataframe[dataframe.column_name.isin(list_of_values) == False]

where

• dataframe is the input dataframe
• column_name is to remove values in this column
• list_of_values is the specific values to be removed

Python3

# import pandas module
import pandas as pd
  
# create dataframe with 4 columns
data = pd.DataFrame({
  
    "name": ['sravan', 'jyothika', 'harsha', 'ramya',
             'sravan', 'jyothika', 'harsha', 'ramya', 
             'sravan', 'jyothika', 'harsha', 'ramya'],
    "subjects": ['java', 'java', 'java', 'python', 
                 'python', 'python', 'html/php', 
                 'html/php', 'html/php', 'php/js', 
                 'php/js', 'php/js'],
    "marks": [98, 79, 89, 97, 82, 98, 90, 87,
              78, 89, 93, 94]
})
  
# consider the list
list1 = [98, 82, 79]
  
# drop rows from above list
print(data[data.marks.isin(list1) == False])
  
print("---------------")
  
list2 = ['sravan', 'jyothika']
# drop rows from above list
print(data[data.name.isin(list2) == False])

输出：

方法 3：删除多列中包含特定值的行

我们可以使用关系运算符从多个列中删除特定值。

Syntax: dataframe[(dataframe.column_name operator value ) relational_operator (dataframe.column_name operator value )]

where

• dataframe is the input dataframe
• column_nam eis the column
• operator is the relational operator

Python3

# import pandas module
import pandas as pd
  
# create dataframe with 4 columns
data = pd.DataFrame({
  
    "name": ['sravan', 'jyothika', 'harsha', 'ramya',
             'sravan', 'jyothika', 'harsha', 'ramya',
             'sravan', 'jyothika', 'harsha', 'ramya'],
    "subjects": ['java', 'java', 'java', 'python',
                 'python', 'python', 'html/php', 
                 'html/php', 'html/php', 'php/js', 
                 'php/js', 'php/js'],
    "marks": [98, 79, 89, 97, 82, 98, 90,
              87, 78, 89, 93, 94]
})
  
# drop specific values
# where marks is 98 and name is sravan
print(data[(data.marks != 98) & (data.name != 'sravan')])
  
print("------------------")
  
# drop specific values
# where marks is 98 or name is sravan
print(data[(data.marks != 98) | (data.name != 'sravan')])

输出：