python matplotlib example

import csvfrom matplotlib import pyplot as pltfrom datetime import Datetimefilename = ' sitka_weather_07-2014.csv ' with open (fileName) as F:reader = Csv.reader (f) header_row = Next (rea Der) # Print (header_row) # for index, Column_header in Enumerate (header_row): # When you need both index and value values, you can use enumerate # # Print (index, column_header) dates,hights = [], [] for row in reader:current_date = Datetime.strpt IME (row[0],

Installationsudo apt-get install python-scipysudo apt-get install Python-numpysudo apt-get install Python-matplotlibTest#Test Plot fromMpl_toolkits.mplot3dImportAxes3dImportMatplotlib.pyplot as Plt fromMatplotlibImportCmfig=plt.figure () Ax= FIG.GCA (projection='3d') X, Y, Z= Axes3d.get_test_data (0.05) Ax.plot_surface (X, Y, Z, Rstride=8, Cstride=8, alpha=0.3) C

Line chart Drawing:Import Pandas as Pdunrate = Pd.read_csv (' unrate.csv ') unrate[' date ' = Pd.to_datetime (unrate[' date ') #可将1948/1/ 1 time format conversion to 1948-01-01print (Unrate.head (12))Results: DATE VALUE0 1948-01-01 3.41 1948-02-01 3.82 1948-03-01 4.03 1948-04-01 3.94 1948-05-01 3.55 1948-06-01 3.66 1948-07-01 3.67 1948-08-01 3.98 1948-09-01 3.89 1948-10-01 3.710 1948-11-01 3.811 1948-12-01 4.0View CodeImport Matplotlib.pyplo

this scientific computing package does a lot of math analysis, rather than doing the functions, and does not necessarily have to run on Linux. Python official website　　　　Step TwoInstall, and set environment variables. This is done primarily by adding a Python installation path after path. Graphic please Baidu.Step ThreeAfter you have determined that CMD can be entered in

()4 5Ax = Fig.add_subplot (211)6Ax.fill_between (x,y,y1,facecolor='b')7 Ax.grid (True)8 9AX2 = Fig.add_subplot (212)TenAx2.fill (x,y,facecolor='b', alpha=0.3) OneAx2.fill (x,y1,facecolor='g', alpha=0.3) A Ax2.grid (True) -# plt.show ()1 " "three-dimensional drawing" "2 3 From Mpl_toolkits.mplot3d import axes3d4 5U = Np.linspace (-1,1, -)6X, y =Np.meshgrid (u,u) # Grid coordinate generation function7z = x**2+y**28 9Fig =plt.figure ()TenAx =axes3d (Fig) One# cmap =Color_map, the other two paramet

Matplotlib is a powerful Python module for drawing two-dimensional graphics, which uses the Python language to achieve the ease of use of the MATLAB drawing function, while having a very powerful customization capability. It provides a complete set of command APIs similar to MATLAB and is ideal for interactive mapping. It can also be conveniently embedded in GUI

The previous article describes how to draw some simple diagrams with matplotlib. You usually need to add a lot of callout information on the diagram, such as adding a legend.1 ImportMatplotlib.pyplot as Plt2 ImportNumPy as NP3 4 5T=np.arange (0.,5.,0.2)6 #Here we set the line color and linear, and can actually set the line width and other parameters7Plt.plot (T,T*10,'r--', T**2,'BS', T**3,'g^')8 #The legend is used to set the legend, and when the Unkn

* My pro-Test is a successful installation process1. Update the default low version of Mac system python2.7. See this article: http://jingyan.baidu.com/article/14bd256e39b63dbb6d261289.html2. Install Eclipse, pydev see this blog: http://blog.csdn.net/jjunjoe/article/details/8517024 or http://www.94cto.com/index/ Article/content/id/115879.html3. Install NumPy:A, install brew, enter in Terminal: CURL-LSSF http://github.com/mxcl/homebrew/tarball/master | sudo tar xvz-c/usr/local--strip 1b, install

The Pyplot module in common matplotlibCreating a normal linear graph can be as follows:1 Import NumPy as NP 2 Import Matplotlib.pyplot as Plt 3 x = Np.linspace ( -1,1,50)4 y = 2*x+15plt.plot (x, y)6 Plt.show ()Using Plt.show () in the script, the above figure will be outIn NumPyArange () is similar to the built-in function range (), which creates a one-dimensional array representing the arithmetic progression by specifying a start value, a final value, and a step size , noting that the resulting

1.46047284 1.48148684 1.502500831.52351483 1.54452883 1.56554283 1.58655683 1.60757082 1.628584821.64959882 1.67061282 1.69162681 1.71264081 1.73365481 1.754668811.7756828 1.7966968 1.8177108 1.8387248 1.85973879 1.880752791.90176679 1.92278079 1.94379479 1.96480878 1.98582278 2.006836782.02785078 2.04886477 2.06987877 2.09089277 2.11190677 2.132920762.15393476 2.17494876 2.19596276 2.21697676 2.23799075 2.259004752.28001875 2.30103275 2.32204674 2.34306074 2.36407474 2.385088742.40610273 2.427

# FromFunction creates an array from a function, a custom function, and an array from a function; # the FROMPYFUNC call format is Frompyfunc (func, Nin, Nout), Nin is the number of input parameters for this function, and Nout is the number of return values for this function. print'b is:%s' %bData Type Objects (Dtype) and structure arrayData type Object, ie. An instance of Numpy.dtype describes how an array object resolves a fixed-size memory segment in memory. It depicts several aspects of the

, 3)8 9Plt.xlabel ("I am x")TenPlt.ylabel ("I am y") OnePlt.show () Plt.xlim (): Range of x-axisPlt.ylim (): Range of y-axisPlt.xlabel:x Axis CalloutPlt.ylabel:y Axis Callout　　Modify the value of an axis1 ImportMatplotlib.pyplot as Plt2 ImportNumPy as NP3X1 = Np.linspace (-1, 1, 50)4Y1 = x1 *X15 plt.plot (x1, y1)6Plt.xlim (-1, 2)7Plt.ylim (-2, 3)8 9Plt.xlabel ("I am x")TenPlt.ylabel ("I am y") One ANew_ticks = Np.linspace (-1, 2, 5) - plt.xticks (new_ticks) -Plt.yticks ([-2, 0, 2, 3], ["very Ba

This bar, say simple also simple, say difficult I have been tinkering for two days to get out, really hair is urgent white. In fact, as long as a URL is done, heyhttp://www.lfd.uci.eduThere's anything you need, and when you run the Python import, you'll be ready to download and install.Test the following statements to verify that the installation was successful:Import MatplotlibImport NumPyImport scipyImport pyparsingImport Matplotlib.pyplot as PltThe

Online search for half a day, finally to install the information found. The others are not so full, they summarize the writing again.I am installing Python 2.7 myself. So the following is for 2.7 of the software.NUMPY:HTTP://SOURCEFORGE.NET/PROJECTS/NUMPY/FILES/NUMPY/1.8.1/Download the numpy-1.8.2-win32-superpack-python2.7 belowscipy:http://sourceforge.net/projects/scipy/files/matplotlib:matplotlib-1.1.0.win32-py2.7All of the above are EXE files, doub

Import NumPy as Npdef main (): #print ("Hello") #line import matplotlib.pyplot as Plt x=np.linspace (- Np.pi,np.pi,256,endpoint=true) #print (x) c,s = Np.cos (x), Np.sin (x) plt.figure (1) #绘制第一个图 Plt.plot (x,c,color= "Blue", linewidth=1.0,linestyle= "-", label= "COS", alpha=0.5) #绘制cos plt.plot (x,s, "r*", label= "SIN") # Draw sin plt.title ("Cos sin") #添加标题 AX=PLT.GCA () #轴的编辑器 ax.spines["right"].set_color ("none") ax.spines["Top"].set_color ("none")

After drawing directly with Pyplot and creating a figure object, use the method paint:When used, according to the specific needs of the choice, if you do not need the sub-diagram, directly using the Pyplot method can be achieved.The subtle differences between the 1.2Axes and subplot conceptsThe subplot () method is very well understood, the first two numbers represent a sub-graph matrix that produces several rows of columns, and the last number represents the selected sub-map position.This

Example Description: Reading data from a file, drawing a scatter chart #coding: Utf-8 import matplotlib.pyplot as Plt import numpy as NP import matplotlib as MPL mpl.rcparams[ ' font.family '] = ' sans-serif ' mpl.rcparams[' font.sans-serif '] = ' nsimsun,times New Roman ' x, y = Np.loadtxt (' Data.txt ', delimiter= ', ', Unpack=true ' plt.plot (x,y, ' + ', label= ' POW algorithm ', color= ' black ') P

Python decorator use example and actual application example, python example Test 1 Deco is running, but myfunc is not running Copy codeThe Code is as follows:Def deco (func ):Print 'before func'Return func Def myfunc ():Print 'myfunc () called'Myfunc = deco (myfunc) Test 2

Python Plotting Method example, python plotting example This example describes the python plotting method. Share it with you for your reference. The details are as follows: #-*-Coding: UTF-8-*-import

Boost. python compilation and example, boost. python example Welcome to reprint, reprint please indicate the original address: http://blog.csdn.net/majianfei1023/article/details/46781581 Linux compiled boost link: http://blog.csdn.net/majianfei1023/article/details/46761029 Yesterday, we compiled and installed boost.