python 读取csv pickle excel

import pandas as pd

import warnings
warnings.filterwarnings("ignore")

scientists = pd.read_csv('./data/scientists.csv')
names = scientists['Name']
print(names)

import os
if not os.path.exists('./output/scientists_names_series.csv'):
    names.to_csv('./output/scientists_names_series.csv')

if not os.path.exists('./output/scientists_names_series1.csv'):
    #分隔符变成星号
    names.to_csv('./output/scientists_names_series1.csv',sep='*')

if not os.path.exists('./output/scientists_names_series2.csv'):
    #序号去掉,就是把行号去掉
    names.to_csv('./output/scientists_names_series2.csv',index=False)


if not os.path.exists('./output/scientists_df1.csv'):
    scientists.to_csv('./output/scientists_df1.csv')

if not os.path.exists('./output/scientists_df2.csv'):
    scientists.to_csv('./output/scientists_df2.csv',index=False)

import pandas as pd
#s1 = pd.Series([43,56])
#print(s1)

scientists = pd.read_csv('./data/scientists.csv')
names = scientists['Name']
print(names)

import os

if not os.path.exists('./output/scientists_names_series.pickle'):
    names.to_pickle('./output/scientists_names_series.pickle')

if not os.path.exists('./output/scientists_df.pickle'):
    scientists.to_pickle('./output/scientists_df.pickle')

#读取pickle文件
scientists_name_from_pickle = pd.read_pickle('./output/scientists_names_series.pickle')
print(scientists_name_from_pickle)

scientists_name_from_pickle = pd.read_pickle('./output/scientists_df.pickle')
print(scientists_name_from_pickle)

python 读取csv pickle excel_第1张图片

#读写Excel 格式的Series和DataFrame文件
import pandas as pd
scientists = pd.read_csv('./data/scientists.csv')
names = scientists['Name']
#print(names)

names.to_excel('./output/scientists_names_series.xls')
#可以吧Series转成DataFrame
names_df = names.to_frame()
names_df.to_excel('./output/scientists_names_series1.xls')

#就是吧底下的sheet 改个名字
scientists.to_excel('./output/scientists_df.xlsx',sheet_name='scientists',index=False)


#读取excel文件
import xlrd
# 打开workbook  获取sheet
data = xlrd.open_workbook('./output/scientists_df.xlsx')
sheet = data.sheet_by_name('scientists')
sheet = data.sheet_by_index(0)
#第一行数据
print(sheet.row_values(1))
#第一个列
print(sheet.col_values(1))
print('行数','=',sheet.nrows)
print('列数','=',sheet.ncols)

print(sheet.cell(0,0).value)
#第二行,第三个 都是从0开始的
print(sheet.cell(2,3).value)

print(data.sheet_names())
print(sheet.name)

#获取一整行数据
print(sheet.row_values(3))
#获取一整列的数据
print(sheet.col_values(2))


python 读取csv pickle excel_第2张图片

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