>>> import pandas as pd
>>> pd.__version__
'0.25.1'

>>> import os
>>> os.chdir('D://source/dataset') # 這是我的數(shù)據(jù)集所在目錄
>>> os.listdir() # 確認(rèn)此目錄已經(jīng)存在 IMDB-Movie-Data 數(shù)據(jù)集
['drinksbycountry.csv', 'IMDB-Movie-Data.csv', 'movietweetings', 'titanic_eda_data.csv', 'titanic_train_data.csv']

>>> df = pd.read_csv("IMDB-Movie-Data.csv")
>>> df.head(1) # 導(dǎo)入并顯示第一行
? ?Rank ? ? ? ? ? ? ? ? ? ?Title ? ? ? ? ? ? ? ? ? ?Genre ?... ? Votes Revenue (Millions) Metascore
0 ? ? 1 ?Guardians of the Galaxy ?Action,Adventure,Sci-Fi ?... ?757074 ? ? ? ? ? ? 333.13 ? ? ?76.0

[1 rows x 12 columns]

>>> meta = df.pop("Title").to_frame() # 移除 Title 列

>>> df.head(1) # df 變?yōu)?11列
? ?Rank ? ? ? ? ? ? ? ? ? ?Genre ?... Revenue (Millions) Metascore
0 ? ? 1 ?Action,Adventure,Sci-Fi ?... ? ? ? ? ? ? 333.13 ? ? ?76.0

[1 rows x 11 columns]

>>> meta.head(3)
                     Title
0  Guardians of the Galaxy
1               Prometheus
2                    Split

# .str.count(" ") + 1 得到單詞個(gè)數(shù) 
>>> meta["words_count"] = meta["Title"].str.count(" ") + 1 
>>> meta.head(3) # words_count 列代表單詞個(gè)數(shù)
                     Title  words_count
0  Guardians of the Galaxy            4
1               Prometheus            1
2                    Split            1

>>> vc = df["Genre"].value_counts()

>>> vc.head()
Action,Adventure,Sci-Fi    50
Drama                      48
Comedy,Drama,Romance       35
Comedy                     32
Drama,Romance              31
Name: Genre, dtype: int64

>>> import matplotlib.pyplot as plt
>>> vc[:5].plot(kind='pie')
<matplotlib.axes._subplots.AxesSubplot object at 0x000001D65B114948>
>>> plt.show()