先写下遇到的问题及解决

导入pandas_datareader时出错

import pandas_datareader

出现

...
ImportError: cannot import name 'is_list_like'

根据stackoverflow的提问，通过评论中通过

import pandas as pd
pd.core.common.is_list_like = pd.api.types.is_list_like

来解决报错

获取阿里巴巴股票数据出错

alibaba = pdr.get_data_yahoo('BABA')

出现

ImmediateDeprecationError: Yahoo Actions has been immediately
deprecated due to large breaks in the API without the introduction of
a stable replacement. Pull Requests to re-enable these data connectors
are welcome.

github上说打补丁什么的，还有改代码之类的，也有说有pandas_datareader分支有已经修复的包。
后来还是根据说安装pandas_datareader的dev包来解决
不过GitHub的写法是

pip install git+https://github.com/pydata/pandas-datareader.git

注意 这都是anaconda管理的，但不能直接通过conda直接安装dev包
不过我么有装git啊 那么操作如下

• 先运行Anaconda Prompt就是Anaconda中打开的那个terminal，不过在win下开始菜单可以直接用Anaconda Prompt打开。
• 安装dev包之前需要卸载已经安装的pandas-datareader包

pip uninstall pandas-datareader

• 下载zip包 解压 切换到解压后的目录
• 然后通过pip安装dev包

pip setup.py install

pdr.get_data_yahoo('APPL')获取不到苹果的股票数据 好像是接口问题 舍弃苹果的数据

调用函数sns.distplot()有个警告

C:UsersweimoAnaconda3libsite-packagesmatplotlibaxes_axes.py:6462: UserWarning: The 'normed' > kwarg is deprecated, and has been replaced by the 'density' kwarg.
warnings.warn("The 'normed' kwarg is deprecated, and has been "
GitHub上有评论说是版本变化引出的问题，但似乎又没有影响，搜索到一个中文博客是说直接修改源代码
seaborn/distributions.py
hist_kws.setdefault(“normed”, norm_hist)
改为
hist_kws.setdefault(“density”, norm_hist)

不过最终决定暂时不管，毕竟只是个warning。
推测应该是数据源的问题

总结：就像是在学matlab画图...但课程中提到Matplotlib for Python Developers这本书，目前出第二版了（2018）。第一版还是2009年，计划好好学学。顺便翻译一下？
这本书的彩图PDF官方链接：
https://www.packtpub.com/sites/default/files/downloads/MatplotlibforPythonDevelopersSecondEdition_ColorImages.pdf
GitHub上的章节代码：
https://github.com/PacktPublishing/Matplotlib-for-Python-Developers-Second-Edition/
书籍首页：

记录正文

import numpy as np
import pandas as pd
pd.core.common.is_list_like = pd.api.types.is_list_like
from pandas import Series, DataFrame
import pandas_datareader as pdr

import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline

from datetime import datetime

start = datetime(2014, 9, 20)
alibaba = pdr.get_data_yahoo('BABA', start=start)
amazon = pdr.get_data_yahoo('AMZN', start=start)

alibaba.head()

amazon.head()

#alibaba.shape
#alibaba.describe()
alibaba.to_csv("alibaba.csv")
amazon.to_csv("amazon.csv")

alibaba['Adj Close'].plot(legend=True)

<matplotlib.axes._subplots.AxesSubplot at 0x2eb3813a128>

for _ in alibaba:
    if _ == 'Volume':
        continue
    alibaba[_].plot(legend=True)

alibaba['high-low'] = alibaba['High'] - alibaba['Low']

alibaba.head()

alibaba['high-low'].plot(figsize=(25,5))

<matplotlib.axes._subplots.AxesSubplot at 0x2eb388cd6d8>

alibaba['daily-return'] = alibaba['Adj Close'].pct_change()

alibaba['daily-return'].plot(figsize=(25,5),linestyle='--',marker='o')

<matplotlib.axes._subplots.AxesSubplot at 0x2eb38b609b0>

sns.distplot(alibaba['daily-return'].dropna(),bins=100,color='red')

C:\Users\weimo\Anaconda3\lib\site-packages\matplotlib\axes\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.
  warnings.warn("The 'normed' kwarg is deprecated, and has been "





<matplotlib.axes._subplots.AxesSubplot at 0x2eb3a9bfac8>

start = datetime(2015, 1, 1)
company = ['GOOG', 'MSFT', 'AMZN', 'FB']
#company = 'APPL'
top_tech_df = pdr.get_data_yahoo(company,start=start)['Adj Close']

top_tech_df.head()

top_tech_df.plot()

<matplotlib.axes._subplots.AxesSubplot at 0x180d6e03f60>

top_tech_dr = top_tech_df.pct_change()

top_tech_df[['FB', 'MSFT']].plot()

<matplotlib.axes._subplots.AxesSubplot at 0x180d6de7550>

sns.jointplot('AMZN','GOOG',top_tech_dr,kind='scatter')

<seaborn.axisgrid.JointGrid at 0x180d6859f98>

sns.pairplot(top_tech_dr.dropna())

<seaborn.axisgrid.PairGrid at 0x180d6db60f0>

top_tech_dr['MSFT'].quantile(0.02)

-0.029942679770481886