python turtle drawing

value_key_pairs[-N:]print(top_counts ( Counts)# Method 2counts = Counter (time_zones) Counts.most_common (ten) Print (Counts.most_common (10))5) Use Pandas to simplify, count the time zone, and give the Top ten bar chart#use Pandas to count time zones fromPandasImportDataFrameImportPandas as PDImportNumPy as Npframe=DataFrame (Records)#print (frame)#tz_counts = frame["TZ"].value_counts ()#print (Tz_counts[:10])Clean_tz = frame["TZ"].fillna ("missing")#Missing value handlingClean_tz[clean_tz = =

Work needs to observe the trend of data changes, with Python to write a small program to display simple charts, to share the convenience of people with the same needs, matplotlib is a very good library.#!encode=utf8 fromMatplotlibImportPyplot as PltImportSysignore_num= (int) (sys.argv[1]) Data=sys.argv[2]show_type=0ifLen (SYS.ARGV) >3: Show_type= (int) (sys.argv[3]) x=[]valid_ppl=[]train_ll=[]valid_ll=[]fi=open (data,"R") Line=Fi.readline () n=0 while

?#!/usr/bin/env python#-*-coding:utf-8-*-# Created by xuehz on 2017/4/9import NumPy as Npimport matplotlib as Mplimport Matplotlib.pyplot as Pltfrom scipy.stats import norm, poissonimport timefrom scipy.optimize import leastsqfrom scipy impo RT Statsimport Scipy.optimize as Optimport matplotlib.pyplot as Pltfrom scipy.stats import norm, Poissonfrom Scipy.interpo Late import barycentricinterpolatorfrom scipy.interpolate import cubicsplinefrom scipy imp

First, you enter the weights for edges and edges, and then you draw the node position. Dividing real and imaginary edges by weight size#coding: utf-8#!/usr/bin/env python "" "An example using Graph as a weighted network." " __author__ = "" "Aric Hagberg ([emailprotected])" "" Try:import Matplotlib.pyplot as Pltexcept:raiseimport netw Orkx as Nxg=nx. Graph () #加入带权边G. Add_edge (' A ', ' B ', weight=0.6) G.add_edge (' A ', ' C ', weight=0.2) G.add_edge

Python Language Programming Basics Exercise 2.5ImportTurtledefDrawtriangle (Num,len,flag):#flag is used to adjust the direction of the triangle.Flag*=-1Len/=2if(num==1): if(flag==1): Turtle.left (60) turtle.fd (len) turtle.right (120) turtle.fd (len) turtle.right (120) turtle.fd (len) turtle.left (120) Else: Turtle.right (60) turtle.fd (len) turtle.left (120) turtle.fd (len) turtle.left (120) turtle.fd (len) turtle.right (120) Else:

"" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "", "" "". "" "" "" "" "" "" "" "," "" "" "," "" "" "," "" "," "" ">> Pandas read csv file .py>> Author: Liu Yang>> blog: liuyang1.club>> Email: [emailprotected]>> Blog: Www.cnblogs.com/liu66blog "" "" "" "" "" "" "" "" "" "" "" "" "" "." "" "" "" "" "" "" "" "" "" "" "" "" "". " "" "" "" "#!/usr/bin/env python#-*-coding:utf-8-*-import matplotlibimport pandas as Pdimport NumPy as Npimport mat Plotlib.pyp

"" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "", "" "". "" "" "" "" "" "" "" "," "" "" "," "" "" "," "" "," "" ">> Pie chart .py>> Author: Liu Yang>> e-mail: [Email protected]>> blog: www.cnblogs.com/liu66blog "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "." "" "" "" "" "" "" "" "#!/usr/bin/env python#-*-Coding:" "" "" ". Utf-8-*-import Matplotlibimport Matplotlib.pyplot as plt# defines the font to use to prevent Chinese garbled font=matplotl

python drawing--Columnar chart On the basis of the previous (Python drawing-simple start and line chart), let's draw a bar chart There are two kinds of columnar graphs (one for histogram and the other for bar chart) One, bar chart The main methods are: Atplotlib.pyplot.bar (left, height, width=0.8, Bottom=none, Hold=

Today is too late, refer to the link first put here, tomorrow, according to their actual situation as a whole, http://www.cnblogs.com/qianlifeng/archive/2012/02/13/2350086.htmlActually encountered the source code as an example affixed.# Show your cluster only available with 2-d data#centroids为k个类别, which holds the centroid of each category#clusterAssment为样本的标记, the first column is the category number for this sample, and the second is the distance to the centroid of this category def showcluster

), need to determine the two points of the rectangle (upper left and bottom right), color, the type of line (not set to default). For example: import cv2importas npfromimportas pltimg = np.zeros((512,512,3),np.uint8)#生成一个空彩色图像cv2.rectangle(img,(20,20),(411,411),(55,255,155),5)plt.imshow(img,‘brg‘)(iii) Draw roundIt is also simple to draw a circle, just to determine the center and radius, the function:Cv2.circle (IMG, (380,0), 63, (255,0,0), 3), such as:import cv2importas npfromimportas pltimg =

First, the weights of the edges and edges are entered, then the node positions are drawn, and the real and imaginary edges are divided according to the weight size. Copyright NOTICE: Welcome reprint, Reprint please indicate the source http://blog.csdn.net/ztf312/ Python-networkx: Drawing According to the weight of the graph

), the two points of the rectangle (upper-left corner and lower-right corner) need to be determined. Color, the type of line (not set to default). For example: import cv2importas npfromimportas pltimg = np.zeros((512,512,3),np.uint8)#生成一个空彩色图像cv2.rectangle(img,(20,20),(411,411),(55,255,155),5)plt.imshow(img,‘brg‘)(iii) Draw roundDrawing a circle is also very easy, just need to determine the center and radius, function:Cv2.circle (IMG, (380,0), 63, (255,0,0), 3), for example:import cv2importas n

1. Polynomial-fittingImport Matplotlib.pyplot as PltImport NumPy as NP#潘海东, 2014/1/13x = Np.arange (1, 17, 1)y = Np.array ([4.00, 6.40, 8.00, 8.80, 9.22, 9.50, 9.70, 9.86, 10.00, 10.20, 10.32, 10.42, 10.50, 10.55, 10.58, 10.60])Z1 = Np.polyfit (x, Y, 3) #用3次多项式拟合P1 = np.poly1d (z1)Print (p1) #在屏幕上打印拟合多项式YVALS=P1 (x) #也可以使用yvals =np.polyval (z1,x)Plot1=plt.plot (x, y, ' * ', label= ' original values ')Plot2=plt.plot (x, Yvals, ' R ', label= ' polyfit values ')Plt.xlabel (' x axis ')Plt.ylabel ('

randomly generate a set chart, with the path attribute, the figure size 1*1, find the closest node from the center [0.5, 0.5], and follow the path staining. networkx Examples? Drawing? Random Geometric Graph Copyright NOTICE: Welcome reprint, Reprint please indicate the source http://blog.csdn.net/ztf312/

To facilitate the search and use of Python matplotlib the appropriate drawing settings interface, the common settings are written in the same code for easy reference, including:1. Setting of Chinese and special characters2, sub-chart, title, legend settings3, the name of the axis, scale, spacing and other settings4, the color of the line, style, width of the settingsCode GitHub Links: (to be added)#-*-codin

',Normed=True,histtype= "bar" ,=0.5) Axitset_xlabel ( "values" ) . Set_title) Plt . savefig (,dpi150) Plt. Show () This one's not written as a function.ImportNumPyAsNpImportMatplotlib.PyplotAsPltx=Np.Linspace(0,10,1200)Y=Np.Sin(X)+1Z=Np.Cos(X**2)+1#设置图像大小Plt.Figure(Figsize=(8,6))Plt.Plot(X,Y,Label=' $\cosx+1$ ',Color="Red",LineWidth=2)Plt.Plot(X,Z,Label=' $\cos x^2+1$ ')#设置x轴Plt.Xlabel("Time (s)")Plt.ylabel (plttitle () pltylim (0,2 plt. () plt. ( "5.png" ,dpi= 120) plt. ()

This example describes the Python drawing method. Share to everyone for your reference. Specific as follows: #-*-Coding:utf-8-*-import Matplotlib.pyplot as Pltdef main (): # Color list colorlist = [' B ', ' G ', ' R ', ' C ', ' m ', ' y ', ' k ' ] # Common horizontal threadlist = [1,2,4,8,10] # Set the horizontal and ordinate names plt.xlabel (' Threads ') Plt.ylabel (' Concurrent ') # g

First find the MATPLOTLIBRC file modification under D:\Python\Lib\site-packages\matplotlib\mpl-data1, find#font. Family:sans-serifRemove comments2, find#font. Sans-serif:bitstream Vera Sans, lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, Sans-ser IfRevision changed toFont.sans-serif:microsoft Yahei, bitstream Vera sans, lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, Sans-serif removes the comment and adds

the direction and the forward distancex_direction = Choice ([-1, 1]) x_distance= Choice ([0, 1, 2, 3, 4]) X_step= X_direction *x_distance y_direction= Choice ([-1, 1]) y_distance= Choice ([0, 1, 2, 3, 4]) Y_step= Y_direction *y_distance#refusing to tread ifX_step = = 0 andY_step = =0:Continue #calculate the next pointnext_x = Self.x_values[-1] +X_step next_y= Self.y_values[-1] +Y_step#Append to Listself.x_values.append (next_x) self.y_values.append (next_y)777.py:Import Ma

ImportMatplotlib.pyplot as Plt#The slices would be ordered and plotted counter-clockwise.Labels ='Frogs','Hogs','Dogs','Logs'Sizes= [15, 30, 45, 10]colors= ['Yellowgreen','Gold','Lightskyblue','lightcoral']explode= (0, 0.1, 0, 0)#Only "Explode" the 2nd slice (i.e. ' hogs ')Plt.pie (sizes, explode=explode, Labels=labels, colors=colors,autopct='%1.1f%%', Shadow=true, startangle=90)#Set aspect ratio to being equal so, pie is drawn as a circle.Plt.axis ('Equal') Plt.savefig ('D:\\pie.png') plt.show