python index out of bounds_使用python中遇到的坑

这周开始学习python的入门学习。

首先安装数据分析环境，Anaconda和Jupyter notebook已成为数据分析的标准环境。简单来说，Anaconda是包管理器和环境管理器，Jupyter notebook 可以将数据分析的代码、图像和文档全部组合到一个web文档中。 安装这两个环境中遇到问题可参考以下知乎文章：

初学python者自学anaconda的正确姿势是什么？？​www.zhihu.comjupyter notebook 可以做哪些事情？​www.zhihu.com

作为入门教程，推荐菜鸟教程网上的python3教程Python3 教程 | 菜鸟教程​www.runoob.com

，分为基础教程和高级教程2个部分，可以快速的掌握python3的语法、结构等。

遇到问题推荐使用世界上最大的搜索引擎查找技术问题UOL Busca​busca.uol.com.br

也可以在Stack Overflow上搜索，它是一个与程序相关的IT技术问答网站。用户可以在网站免费提交问题，浏览问题，索引相关内容，在创建主页的时候使用简单的HTML。在问题页面，不会弹出任何广告，销售信息，JavaScript 窗口等。

以下是使用python对GAFATA 6只股票做得初步分析，分析参考了知乎李玉竹的文章，原文如下：李玉竹：数据分析之简易分析股票走势​zhuanlan.zhihu.com

import matplotlib.pyplot as plt

import pandas as pd

pd.core.common.is_list_like = pd.api.types.is_list_like

#pdr0.7版本会修复该问题

from pandas_datareader import data

import pandas_datareader as pdr

pdr.__version__

#ImmediateDeprecationError raise when trying to get data from yahoo

#通过导入fix_yahoo_finance包解决

import fix_yahoo_finance as yf

yf.pdr_override()

#注意腾讯股票代码不是HK0700

gafataDict = {'谷歌':'GOOG','亚马逊':'AMZN','Facebook':'FB','苹果':'AAPL','阿里巴巴':'BABA','腾讯':'0700.HK'}

start_data = '2017-01-01'

end_data = '2018-08-01'

GOOGDf = data.get_data_yahoo(gafataDict['谷歌'],start_data,end_data)

GOOGDf.head()

[*********************100%***********************] 1 of 1 downloaded

# GOOGDf.describe()

AMZNDf = data.get_data_yahoo(gafataDict['亚马逊'],start_data,end_data)

AMZNDf.head()

[*********************100%***********************] 1 of 1 downloaded

FBDf = data.get_data_yahoo(gafataDict['Facebook'],start_data,end_data)

FBDf.head()

[*********************100%***********************] 1 of 1 downloaded

AAPLDf = data.get_data_yahoo(gafataDict['苹果'],start_data,end_data)

AAPLDf.head()

[*********************100%***********************] 1 of 1 downloaded

BABADf = data.get_data_yahoo(gafataDict['阿里巴巴'],start_data,end_data)

BABADf.head()

[*********************100%***********************] 1 of 1 downloaded

#try:

HK00700Df = data.get_data_yahoo(gafataDict['腾讯'],start_data,end_data)

HK00700Df.head()

#except ValueError:

# pass

[*********************100%***********************] 1 of 1 downloaded

plt.figure(figsize=(10,5))#宽度和高度的单位为英寸

plt.plot(GOOGDf['Close'],color='blue')

plt.title('Google')

plt.xlabel('Date')

plt.ylabel('Closing price')

plt.grid(True)

plt.show()

plt.figure(figsize=(10,5))#宽度和高度的单位为英寸

plt.plot(HK00700Df['Close'],color='blue')

plt.title('腾讯',fontproperties='SimHei')#显示中文可用fontproperties解决

plt.xlabel('Date')

plt.ylabel('Closing price')

plt.grid(True)

plt.show()

plt.figure(figsize=(10,5))#宽度和高度的单位为英寸

plt.plot(GOOGDf['Close'],color='blue',label='google')

plt.plot(AMZNDf['Close'],color='Green',label='amazon')

plt.plot(HK00700Df['Close'],color='red',label='tecent')

plt.title('Comparison of GOOG and AMZN and tecent')

plt.xlabel('Date')

plt.ylabel('Closing price')

plt.legend()

plt.grid(True)

plt.show()

plt.figure(figsize=(10,5))#宽度和高度的单位为英寸

plt.plot(GOOGDf['Volume'],color='blue',label='google')

plt.plot(AMZNDf['Volume'],color='Green',label='amazon')

plt.plot(HK00700Df['Volume'],color='red',label='tencent')

plt.title('Comparison of GOOG and AMZN and tencent')

plt.xlabel('Date')

plt.ylabel('Volume')

plt.legend()

plt.grid(True)

plt.show()

plt.figure(figsize=(10,5))#宽度和高度的单位为英寸

plt.plot(FBDf['Close'],color='blue',label='facebook')

plt.plot(AAPLDf['Close'],color='Green',label='apple')

plt.plot(BABADf['Close'],color='red',label='alibaba')

plt.title('Comparison of facebook and apple and alibaba')

plt.xlabel('Date')

plt.ylabel('Closing price')

plt.legend()

plt.grid(True)

plt.show()

GOOGDf.info()

AMZNDf.info()

FBDf.info()

BABADf.info()

HK00700Df.info()

AAPLDf.info()

DatetimeIndex: 397 entries, 2017-01-03 to 2018-07-31

Data columns (total 6 columns):

Open 397 non-null float64

High 397 non-null float64

Low 397 non-null float64

Close 397 non-null float64

Adj Close 397 non-null float64

Volume 397 non-null int32

dtypes: float64(5), int32(1)

memory usage: 20.2 KB

DatetimeIndex: 397 entries, 2017-01-03 to 2018-07-31

Data columns (total 6 columns):

Open 397 non-null float64

High 397 non-null float64

Low 397 non-null float64

Close 397 non-null float64

Adj Close 397 non-null float64

Volume 397 non-null int32

dtypes: float64(5), int32(1)

memory usage: 20.2 KB

DatetimeIndex: 397 entries, 2017-01-03 to 2018-07-31

Data columns (total 6 columns):

Open 397 non-null float64

High 397 non-null float64

Low 397 non-null float64

Close 397 non-null float64

Adj Close 397 non-null float64

Volume 397 non-null int32

dtypes: float64(5), int32(1)

memory usage: 20.2 KB

DatetimeIndex: 397 entries, 2017-01-03 to 2018-07-31

Data columns (total 6 columns):

Open 397 non-null float64

High 397 non-null float64

Low 397 non-null float64

Close 397 non-null float64

Adj Close 397 non-null float64

Volume 397 non-null int32

dtypes: float64(5), int32(1)

memory usage: 20.2 KB

DatetimeIndex: 390 entries, 2017-01-03 to 2018-08-01

Data columns (total 6 columns):

Open 390 non-null float64

High 390 non-null float64

Low 390 non-null float64

Close 390 non-null float64

Adj Close 390 non-null float64

Volume 390 non-null int32

dtypes: float64(5), int32(1)

memory usage: 19.8 KB

DatetimeIndex: 397 entries, 2017-01-03 to 2018-07-31

Data columns (total 6 columns):

Open 397 non-null float64

High 397 non-null float64

Low 397 non-null float64

Close 397 non-null float64

Adj Close 397 non-null float64

Volume 397 non-null int32

dtypes: float64(5), int32(1)

memory usage: 20.2 KB

def change(column):

buyPrice = column[0]

sellPrice = column[397-1]

priceChange = (sellPrice-buyPrice)/buyPrice

if(priceChange>0):

print('股票累计上涨=',priceChange)

elif(priceChange<0):

print('股票累计下跌=',priceChange)

else:

print('股票累计没有变化=',priceChange)

return priceChange

GOOG_closeCol = GOOGDf['Close']

GOOGChange = change(GOOG_closeCol)

股票累计上涨= 0.5484010313353657

AAPL_closeCol = AAPLDf['Close']

AAPLChange = change(AAPL_closeCol)

股票累计上涨= 0.6383124384276806

FB_closeCol = FBDf['Close']

FBChange = change(FB_closeCol)

股票累计上涨= 0.4768098624267512

AMZN_closeCol = AMZNDf['Close']

AMZNChange = change(AMZN_closeCol)

股票累计上涨= 1.358379637099067

BABA_closeCol = BABADf['Close']

BABAChange = change(BABA_closeCol)

股票累计上涨= 1.1132054201626507

HK00700_closeCol = HK00700Df['Close']

HK00700Change = change(HK00700_closeCol)#会报错，因为行数比其他数据帧少7行

---------------------------------------------------------------------------

KeyError Traceback (most recent call last)

~Anaconda3libsite-packagespandascoreindexesbase.py in get_value(self, series, key)

3102 return self._engine.get_value(s, k,

-> 3103 tz=getattr(series.dtype, 'tz', None))

3104 except KeyError as e1:

IndexError: index out of bounds

#报错超出边界，从HK00700Df.info()也能看出，腾讯的数据比其他数据少了7条

HK00700_Price = HK00700Df['Close']

HK00700_buyPrice = HK00700_Price[0]

HK00700_sellPrice = HK00700_Price[(len(HK00700_Price)-1)]

HK00700_change = (HK00700_sellPrice-HK00700_buyPrice)/HK00700_buyPrice

print('股票累计上涨=',HK00700_change)

股票累计上涨= 0.8743400804965179

plt.figure(figsize=(15,10))#宽度和高度的单位为英寸

plt.plot(FBDf['Close'],color='blue',label='facebook')

plt.plot(AAPLDf['Close'],color='Green',label='apple')

plt.plot(BABADf['Close'],color='red',label='alibaba')

plt.plot(GOOGDf['Close'],color='black',label='google')

plt.plot(AMZNDf['Close'],color='orange',label='amazon')

plt.plot(HK00700Df['Close'],color='yellow',label='tencent')

plt.title('Comparison of facebook and apple and alibaba and google and amazon and tencent')

plt.xlabel('Date')

plt.ylabel('Closing price')

plt.legend()

plt.grid(True)

plt.show()

writer = pd.ExcelWriter('gafata.xls')

GOOGDf.to_excel(writer,'google')

AAPLDf.to_excel(writer,'apple')

FBDf.to_excel(writer,'facebook')

AMZNDf.to_excel(writer,'amazon')

BABADf.to_excel(writer,'alibaba')

HK00700Df.to_excel(writer,'tencent')

writer.save()

最后

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