AIM-PIbd-32-Katysheva-N-E/lab_1/lab1.ipynb

Начало лабораборной¶

Выгрузка данных из csv файла в датафрейм

In [3]:

import pandas as pd

df = pd.read_csv("..//..//static//csv//StudentsPerformance.csv")
print (df.columns)

Index(['gender', 'race/ethnicity', 'parental level of education', 'lunch',
       'test preparation course', 'math score', 'reading score',
       'writing score'],
      dtype='object')

In [4]:

df.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1000 entries, 0 to 999
Data columns (total 8 columns):
 #   Column                       Non-Null Count  Dtype 
---  ------                       --------------  ----- 
 0   gender                       1000 non-null   object
 1   race/ethnicity               1000 non-null   object
 2   parental level of education  1000 non-null   object
 3   lunch                        1000 non-null   object
 4   test preparation course      1000 non-null   object
 5   math score                   1000 non-null   int64 
 6   reading score                1000 non-null   int64 
 7   writing score                1000 non-null   int64 
dtypes: int64(3), object(5)
memory usage: 62.6+ KB

In [5]:

print(df.describe().transpose())

                count    mean        std   min    25%   50%   75%    max
math score     1000.0  66.089  15.163080   0.0  57.00  66.0  77.0  100.0
reading score  1000.0  69.169  14.600192  17.0  59.00  70.0  79.0  100.0
writing score  1000.0  68.054  15.195657  10.0  57.75  69.0  79.0  100.0