import numpy as np
import pandas as pd
read csv
data1 = pd.read_csv(r’tem.csv’,sep=’;’,header=’infer’)
select specific columns
data1 = pd.read_csv(r’tem.csv’,sep=’;’,header=’infer’,usecols=[0,1,3])
set column headers
data1.columns = [‘y’,’m’,’number’]
data2 = pd.read_csv(r’tem.csv’,sep=’;’,header=’infer’,usecols=[3])
Merge the first two columns, set the title to month
data1[‘Month’] = data1[‘y’].map(str)+’-‘+data1[‘m’].map(str)
Extract two columns of data1
data2 =data1.loc[:,[‘Month’,’number’]]
serve to new csv
data2.to_csv(‘new.csv’)
data = pd.read_csv(‘ssn.csv’, parse_dates=[‘Month’], index_col=’Month’)
ts = data[‘number’] #转换为时间序列数据
Original: https://blog.csdn.net/qq_56539133/article/details/124632653
Author: 兰儿506
Title: python读取csv文件，选取特定的列，保存到新的文件，将csv数据转换为时间序列
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