【Python-Pandas】データ分析におけるいくつかの一般的な操作(1)

# -*- coding: utf-8 -*-
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import matplotlib.pyplot as plt
import seaborn as sns  # visualization tool


#  csv    
df=read.csv('D:\\...\\ .csv')

#    
pd.set_option('max_columns',1000) #      
df.head()

df.describe() #       
df.info() #     
df.columns #    
df.index #  

#           
df['ColumnName'].value_counts() 

#    
df.drop([‘ColumnName’],axis=1) 
#     
df3.drop_duplicates()

#     
df.isna().sum() 
df.isnull().sum()
#     
df4['ColumnName'].fillna()

#     
pd.concat([df1,df2],axis=1) #axis=1     ，0