标签：exce work frame 读取 format port dfs tor Parquet
pandas.io
1.概述，主要从txt，json，pkl，csv，excel中读取数据，读取的数据最终转化为pandas.core.frame.DataFrame类型的df
先来看总的api
from pandas.io.clipboards import read_clipboard #读剪切板 from pandas.io.excel import ExcelFile, ExcelWriter, read_excel #读excel from pandas.io.feather_format import read_feather from pandas.io.gbq import read_gbq from pandas.io.html import read_html from pandas.io.json import read_json from pandas.io.packers import read_msgpack, to_msgpack from pandas.io.parquet import read_parquet from pandas.io.parsers import read_csv, read_fwf, read_table from pandas.io.pickle import read_pickle, to_pickle from pandas.io.pytables import HDFStore, read_hdf from pandas.io.sas import read_sas from pandas.io.spss import read_spss from pandas.io.sql import read_sql, read_sql_query, read_sql_table from pandas.io.stata import read_stata
io的api里主要包含了读取操作，写入操作主要在pandas.core.frame.DataFrame
2.一个为操作pkl文件的demo
import pandas as pd original_df = pd.DataFrame({"foo": range(5), "bar": range(5, 10)}) pd.to_pickle(original_df, "~/work/data/dummy.pkl") df = pd.read_pickle("~/work/data/dummy.pkl")
如果df想写入为csv或其他格式可以调用df.to_csv
标签：exce work frame 读取 format port dfs tor Parquet
原文地址：https://www.cnblogs.com/yangyang12138/p/12247440.html
