从Pandas Dataframe打印中删除页眉和页脚 [英] Remove Header and Footer from Pandas Dataframe print

问题描述

以下代码打印我想要的所有值，但具有日期"作为第一行，最后一行是名称:关闭，长度:1828，dtype:float64"

The following code prints all the values I want but has "Date" as the first row and "Name: Close, Length: 1828, dtype: float64" as the last row

import pandas as pd
from pandas.io.data import DataReader
from datetime import datetime

ibm = DataReader('IBM',  'yahoo', datetime(2009,1,1))
pd.set_option('display.max_rows',len(ibm))
print ibm["Close"]

如何在第一行日期"行和最后一行名称:关闭，长度:1828，dtype:float64"行中不打印数据?切片不起作用，我尝试过打印ibm ["Close"] [1:-1]，它只是切断了第二行和第二行到最后一行.

How do I print the data w/o this first "Date" line and the last "Name: Close, Length: 1828, dtype:float64" line? Slicing doesn't work, I've tried print ibm["Close"][1:-1] and it just cuts off the 2nd and 2nd to last row.

推荐答案

print ibm["Close"].to_string(header=False)

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