plot 详解

ggplot.py

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib
matplotlib.style.use('ggplot') ## 采用ggplot格式

plot.py

#x/y设置plot
%matplotlib inline
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
x=np.linspace(-5,2,100)
y1=x**3+5*x**2+10
y2=3*x**2+10*x
y3=6*x+10
fig,ax=plt.subplots()
ax.plot(x,y1,color='black',label='y(x)')
ax.plot(x,y2)
ax.plot(x,y3)
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.legend()

plot1.py

ipython -pylab
import matplotlib.pyplot as plt

fig=plt.figure()
plt.plot(1,1,1)

from matplotlib.finance import candlestick_ohlc # 蜡烛图

 a.xaxis_date() #a的x轴为日期
plt.show()

每次编写代码时进行参数设置
1，显示中文
#coding:utf-8
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
#有中文出现的情况，需要u'内容'

2，时间转换为数字
先从unicode str转换成datetime
然后再实现
from matplotlib.pylab import date2num
···
组合成为一个list
zip()

3,构建画板并设置x轴为日期
fig, ax=plt.subplots()
```旋转日期
plt.xtics(rotation=45)


···
pplotly

import plotly.plotly as py
import plotly.graph_objs as go
import pandas_datareader.data as web

from datetime import datetime

df = web.DataReader("aapl", 'yahoo', datetime(2007, 10, 1), datetime(2009, 4, 1))

trace = go.Candlestick(x=df.index,
                       open=df.Open,
                       high=df.High,
                       low=df.Low,
                       close=df.Close)
data = [trace]
py.iplot(data, filename='simple_candlestick')

###https://plot.ly/python/candlestick-charts/