python数据读取和存储

1. open? 用于学习
2. fp = open(‘D:/python-data/text.csv’,‘w’,newline=’’)
   writer = csv.writer(fp)
   writer.writerow((‘id’,‘name’,‘grade’))
   writer.writerow((‘1’,‘lucky’,‘87’))
   writer.writerow((‘2’,‘peter’,‘92’))
   writer.writerow((‘3’,‘lili’,‘85’))
   fp.close()
3. df1=pd.read_csv(open(‘D:/python-data/数据/ch4ex3.csv’),header=None)

chunker= pd.read_csv(open('D:/python-data/数据/titanic.csv'),chunksize=100)
sex = Series([],dtype='float64')
for i in chunker:
    sex = sex.add(i['Sex'].value_counts(),fill_value=0)
sex

1. df = pd.read_table(open(‘D:/python-data/数据/ch4ex7.txt’),sep=’\s+’)
   匹配多个空格
2. df.to_csv(‘D:/python-data/数据/out2.csv’,sep=’?’)
3. import json
   f=open(‘D:/python-data/数据/eueo2012.json’)
   obj = f.read()
   result = json.loads(obj)
   result
4. import pandas as pd
   df = pd.read_json(‘D:/python-data/数据/eueo2012.json’)
   df

import pandas as pd
df = pd.read_excel('D:/python-data/数据/ch4ex8.xlsx',sheet_name='Sheet1')
df

1. df.to_excel('D:/python-data/数据/out5.xlsx',sheet_name='out',index=None)
2. from matplotlib import font_manager as fm, rcParams import matplotlib as plt

plt.rcParams['font.sans-serif']=['SimHei'] #显示中文标签
plt.rcParams['axes.unicode_minus']=False   #这两行需要手动设置