castingA3T的博客

import numpy as np import matplotlib.pyplot as pltplt.rcParams['axes.unicode_minus']=Falsex = np.linspace(-30, 30, 10000) y = (x**2-5*x+10)#方程式 z = (2*x-5)#导数方程 z = (-5*x+10)#二次函数的0点切线方程plt.figure(

import numpy as npimport pandas as pdarr=np.arange(12).reshape((3,4))In[2]: arrOut[2]: array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]])In[2]: np.concatenate([arr,arr]

# -*- coding: utf-8 -*-"""Created on Wed Jan 31 14:06:26 2018@author: Administrator"""import numpy as npimport pandas as pdimport matplotlib.pyplot as pltplt.rcParams['font.sans-serif']=['S

import pandas as pdpath='F:/python/python数据分析与挖掘实战/图书配套数据、代码/chapter3/demo/data/catering_fish_congee.xls'data=pd.read_excel(path,header=None,index_col=0)data.index.name='日期'data.columns=['销售额(元)']

seed()用法import numpy as npnp.random.seed()#seed()随机数变化，seed(2)#里面有数字，数字不变，随机数不变a=np.random.randn(5,4)In [26]:aOut[26]: array([[ 0.17835632, 0.28546591, 0.65957699, -0.3424716 ], [ 1.3

import pandas as pdcatering_sale='F:/python/python数据分析与挖掘实战/图书配套数据、代码/chapter3/demo/data/catering_sale.xls'data=pd.read_excel(catering_sale,index_col=u'日期')print(data.head())print(data.tail())pri

import pandas as pdimport numpy as npimport matplotlib.pyplot as pltplt.rcParams['font.sans-serif']=['SimHei']#用来正常显示中文标签path='F:/python/从零开始学python网络爬虫/链家网/lianjia-3.xls'lj=pd.read_excel(path)

import numpy as npimport pandas as pddf=pd.DataFrame({'key1':['a','a','b','b','a'], 'key2':['one','two','one','two','one'], 'data1':[1,4,7,3,9], 'd

import pandas as pdimport numpy as npfrom numpy import nan as NAdf=pd.DataFrame(np.random.randn(7,3),index=['a','b','c','d','e','f','g'],columns=['q','w','t'])In [106]:dfOut[120]: q

import pandas as pdimport numpy as npobj=pd.Series(range(5),index=['a','a','b','b','c'])print(obj)print(obj.index.is_unique)#是够是唯一值print(obj['b'])print(obj['c'])print(obj[['a','b']])#输出多个列print

import pandas as pdimport numpy as np#Series运算s1=pd.Series([7.3,-2.5,3.4,1.5],index=['a','c','d','e'])s2=pd.Series([-2.1,3.6,-1.5,4,3.1],index=['a','c','e','f','g'])print(s1+s2)print(s1.add(s2,fi

import numpy as nppoints=np.arange(-5,5,0.01)#1000个间隔相同的点xs,ys=np.meshgrid(points,points)#生成两个二维矩阵print(ys)import matplotlib.pyplot as pltz=np.sqrt(xs ** 2 + ys ** 2)#计算函数print(z)plt.imshow(z

# -*- coding: utf-8 -*-"""Created on Fri Dec 15 15:31:51 2017@author: Administrator"""'''获取前程无忧python相关工作地点、薪水、公司、职位'''import requestsfrom bs4 import BeautifulSoupheaders={ 'UserAgent':

import numpy as np import matplotlib.pyplot as plt x = np.arange(1,10) y = x fig = plt.figure() ax1 = fig.add_subplot(111) ax1.set_title('Scatter Plot') plt.xlabel('X') plt.ylabel('Y')

from matplotlib import pyplot as pltimport numpy as npfig=plt.figure()ax=fig.add_subplot(111)x=np.arange(4)data=np.array([15,20,18,25])rect=ax.bar(x,data,width=0.5,color="lightblue")for rec in r

import numpy as npimport pandas as pddf1=pd.DataFrame({'a':[1,np.nan,5,np.nan], 'b':[np.nan,2,np.nan,6], 'c':range(2,18,4)})df2=pd.DataFrame({'a':[5,4,np.nan,3,7