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596-ClassesMoreThan5Students.py
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63 lines (58 loc) · 2.07 KB
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# 596. Classes More Than 5 Students
# Table: Courses
# +-------------+---------+
# | Column Name | Type |
# +-------------+---------+
# | student | varchar |
# | class | varchar |
# +-------------+---------+
# (student, class) is the primary key column for this table.
# Each row of this table indicates the name of a student and the class in which they are enrolled.
#
# Write an SQL query to report all the classes that have at least five students.
# Return the result table in any order.
# The query result format is in the following example.
# Example 1:
# Input:
# Courses table:
# +---------+----------+
# | student | class |
# +---------+----------+
# | A | Math |
# | B | English |
# | C | Math |
# | D | Biology |
# | E | Math |
# | F | Computer |
# | G | Math |
# | H | Math |
# | I | Math |
# +---------+----------+
# Output:
# +---------+
# | class |
# +---------+
# | Math |
# +---------+
# Explanation:
# - Math has 6 students, so we include it.
# - English has 1 student, so we do not include it.
# - Biology has 1 student, so we do not include it.
# - Computer has 1 student, so we do not include it.
import pandas as pd
def find_classes(courses: pd.DataFrame) -> pd.DataFrame:
# 统计
courses = courses.groupby("class")["student"].size().reset_index(name="count")
# 过滤
filter = courses["count"] >= 5
# 取值
return courses[filter][["class"]]
def find_classes1(courses: pd.DataFrame) -> pd.DataFrame:
courses = courses.groupby('class')['student'].nunique().reset_index()
courses.rename(columns={'student': 'student_cnt'}, inplace=True)
return courses.loc[courses['student_cnt'] >= 5, ['class']]
if __name__ == "__main__":
data = [['A', 'Math'], ['B', 'English'], ['C', 'Math'], ['D', 'Biology'], ['E', 'Math'], ['F', 'Computer'], ['G', 'Math'], ['H', 'Math'], ['I', 'Math']]
courses = pd.DataFrame(data, columns=['student', 'class']).astype({'student':'object', 'class':'object'})
print(find_classes(courses))
print(find_classes1(courses))