准备工作（导入库、导入数据）
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import seaborn as ?sns
sns.set_style("darkgrid") ??
list_csv = ['Amazon_top_selling_book.csv','breast_cancer_wisconsin.csv','diamonds.csv','insurance.csv','netflix_titles.csv','penguins.csv',
'titanic.csv','winequality-red.csv']
dic_path = r'C:\Users\pandas\Desktop\task\228datasets\datasets'
part_data = pd.read_csv(dic_path+'\\'+list_csv[4])
part_data
show_id type title director cast country date_added release_year rating duration listed_in description 0 s1 Movie Dick Johnson Is Dead Kirsten Johnson NaN United States September 25, 2021 2020 PG-13 90 min Documentaries As her father nears the end of his life, filmm... 1 s2 TV Show Blood & Water NaN Ama Qamata,Khosi Ngema,
Gail Mabalane,
Thaban... South Africa September 24, 2021 2021 TV-MA 2 Seasons International TV Shows,
TV Dramas,
TV Mysteries After crossing paths at a party, a Cape Town t... 2 s3 TV Show Ganglands Julien Leclercq Sami Bouajila,
Tracy Gotoas,
Samuel Jouy,
Nabi... NaN September 24, 2021 2021 TV-MA 1 Season Crime TV Shows,
International TV Shows,
TV Act... To protect his family from a powerful drug lor... 3 s4 TV Show Jailbirds New Orleans NaN NaN NaN September 24, 2021 2021 TV-MA 1 Season Docuseries, Reality TV Feuds, flirtations and toilet talk go down amo... 4 s5 TV Show Kota Factory NaN Mayur More,
Jitendra Kumar,
Ranjan Raj,
Alam K... India September 24, 2021 2021 TV-MA 2 Seasons International TV Shows,
Romantic TV Shows,
TV ... In a city of coaching centers known to train I... ... ... ... ... ... ... ... ... ... ... ... ... ...
8807 rows × 12 columns
检测数据情况
Hint:该函数用于检测任意DataFrame中缺失值情况
def missing_values_table(df):
mis_val = df.isnull().sum()
mis_val_percent = 100 * df.isnull().sum() / len(df)
mis_val_table = pd.concat([mis_val, mis_val_percent], axis=1)
mis_val_table_ren_columns = mis_val_table.rename(
columns = {0 : 'Missing Values', 1 : '% of Total Values'})
mis_val_table_ren_columns = mis_val_table_ren_columns[
mis_val_table_ren_columns.iloc[:,1] != 0].sort_values(
'% of Total Values', ascending=False).round(1)
print ("Your selected dataframe has " + str(df.shape[1]) + " columns.\n"
"There are " + str(mis_val_table_ren_columns.shape[0]) +
" columns that have missing values.")
return mis_val_table_ren_columns
missing_values_table(part_data)
Your selected dataframe has 12 columns.
Missing Values % of Total Values director 2634 29.9 country 831 9.4 cast 825 9.4 date_added 10 0.1 rating 4 0.0 duration 3 0.0
There are 6 columns that have missing values.
DataFrame.drop(labels=None,axis=0, index=None, columns=None, inplace=False)
参数说明：
labels 就是要删除的行列的名字，用列表给定 axis 默认为0，指删除行，因此删除columns时要指定axis=1； index 直接指定要删除的行 columns 直接指定要删除的列 inplace=False，默认该删除操作不改变原数据，而是返回一个执行删除操作后的新dataframe； inplace=True，则会直接在原数据上进行删除操作，删除后无法返回。方式一：删除指定行或列
labels+axis
demo = part_data.drop(['director'], axis=1) missing_values_table(demo)Your selected dataframe has 11 columns.
Missing Values % of Total Values country 831 9.4 cast 825 9.4 date_added 10 0.1 rating 4 0.0 duration 3 0.0
There are 5 columns that have missing values.方式二：利用boolean删除满足条件元素所在的行
df = df.drop(df[].index)
# 删除release_year年份在2009年之前的行 demo = part_data.drop(part_data[part_data["release_year"]<2009].index) demo.shape(7624, 12)
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