Pandas 如何过滤x数字以上的值？

我试图计算数学成绩合格（70分或更高）的学生的百分比。我使用的表格是学校数据

我尝试在列上使用条件

passing_math= school_data_complete.[['math_score'] > 70]
passing_math.sum()

File "<ipython-input-42-5d92405eb6b2>", line 14
    passing_math= school_data_complete.[['math_score'] > 70]
                                       ^
SyntaxError: invalid syntax

---

passing_math=school_data_complete.[['math_score']>70]
通过_math.sum（）
文件“”，第14行
通过数学=学校数据完成。[[“数学分数”]>70]
^
SyntaxError:无效语法

试试看

或

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我不知道我是否已经完全理解了这个问题，但是第一部分你要寻找的是

math_score

列的条件检查，它可以实现如下

从给定数据集中采样数据帧： 结果输出： 或

另一种基于比较值在数据帧中传递布尔标志的方法如下所示

>>> df.assign(new_math=(df['math_score'] > 70))
   School ID  Student ID   budget gender grade  math_score  reading_score       school_name  size  student_name      type  new_math
0          0           0  1910635      M   9th          79             66  Huang High Shool  2917   Paul Bradly  District      True
1          0           1  1910635      M  12th          61             94  Huang High Shool  2917  Victor Smith  District     False
2          0           2  1910635      M  12th          60             90  Huang High Shool  2917      Kvin Rod  District     False
3          0           3  1910635      M  12th          58             67  Huang High Shool  2917   Dr. Richard  District     False
4          0           4  1910635      M  12th          82             71  Huang High Shool  2917       Nicol S  District      True

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passing_math=school\u data\u complete[['math\u score']>70]。copy（）

谢谢我得到了：TypeError:'>'在'list'和'int'的实例之间不支持'>'你能给我们看看你的示例数据吗？好的，当然添加到描述passing_math=school\u data\u complete['math\u score']>70好的，它通过了，但返回的值是“学生ID学生姓名性别年级…”@Demagorgon先生

（学校数据完成['math\u分数]>70）。数值计数（normalize=True）

passing_math= school_data_complete.query('math_score>70')

(school_data_complete['math_score'] > 70).value_counts(normalize=True)

>>> df
   School ID  Student ID   budget gender grade  math_score  reading_score       school_name  size  student_name      type
0          0           0  1910635      M   9th          79             66  Huang High Shool  2917   Paul Bradly  District
1          0           1  1910635      M  12th          61             94  Huang High Shool  2917  Victor Smith  District
2          0           2  1910635      M  12th          60             90  Huang High Shool  2917      Kvin Rod  District
3          0           3  1910635      M  12th          58             67  Huang High Shool  2917   Dr. Richard  District
4          0           4  1910635      M  12th          82             71  Huang High Shool  2917       Nicol S  District

>>> df [ df['math_score'] > 70 ]
   School ID  Student ID   budget gender grade  math_score  reading_score       school_name  size student_name      type
0          0           0  1910635      M   9th          79             66  Huang High Shool  2917  Paul Bradly  District
4          0           4  1910635      M  12th          82             71  Huang High Shool  2917      Nicol S  District

>>> df.loc[df.math_score > 70]
   School ID  Student ID   budget gender grade  math_score  reading_score       school_name  size student_name      type
0          0           0  1910635      M   9th          79             66  Huang High Shool  2917  Paul Bradly  District
4          0           4  1910635      M  12th          82             71  Huang High Shool  2917      Nicol S  District

>>> df.assign(new_math=(df['math_score'] > 70))
   School ID  Student ID   budget gender grade  math_score  reading_score       school_name  size  student_name      type  new_math
0          0           0  1910635      M   9th          79             66  Huang High Shool  2917   Paul Bradly  District      True
1          0           1  1910635      M  12th          61             94  Huang High Shool  2917  Victor Smith  District     False
2          0           2  1910635      M  12th          60             90  Huang High Shool  2917      Kvin Rod  District     False
3          0           3  1910635      M  12th          58             67  Huang High Shool  2917   Dr. Richard  District     False
4          0           4  1910635      M  12th          82             71  Huang High Shool  2917       Nicol S  District      True