segmentation situation. The red part is the process of running the program.11, continue to write code, the frequency of the statistical summary, the code implementation as shown.12, the program run, get a TXT and Excel file, inside is about the word frequency statistics information, as shown. The red part is the result of the program running, and there is no error.13. Import these keywords into WordArt for visualization, as shown in.14, set a case, f
, matplotlib is required no matter which library you want to use. Although his syntax is complex, he is flexible. You can draw almost any image you want. Here we go:
Ggplot
Seaborn
Bokeh
Pygal
Python-igraph
Folium
NetworkX
Mayavi
VisPy
PyQtGraph
Vincent
Plotly
@ Vincent is good. The backend uses d3 for visualization. Seabornpyqtgraph: similar to pyside or pyqt. Both of them are common and can
For example, the Python Tornado framework for data visualization tutorial, pythontornado
Extended modules used
Xlrd:
An extension tool for reading Excel in Python. You can read a specified form or cell.Installation is required before use.: Https://pypi.python.org/pypi/xlrdDecompress the package and cd it to the decompressed directory. Execute
‘)plt.legend(loc=‘upper right‘)plt.xticks((0,2,4,6,8,10),(‘1月‘,‘3月‘,‘5月‘,‘7月‘,‘9月‘,‘11月‘))plt.xlabel(‘月份‘)plt.ylabel(‘XX事件数‘)plt.grid(x1)plt.show()5. Read the hourly frequency data, draw the overlapping bar chartdata_hour2015 = pd.read_csv(‘data_hour2015.txt‘)data_hour2016 = pd.read_csv(‘data_hour2016.txt‘)plt.figure(figsize=(10, 6))data_hour2015[‘nums‘].T.plot.bar(color=‘g‘,alpha=0.6,label=‘2015年‘)data_hour2016[‘nums‘].T.plot.bar(color=‘r‘,alpha=0.4,label=‘2016年‘)plt.xlabel(‘小时‘)plt.ylabel(‘XX事
This article mainly introduces examples of Python Tornado framework to achieve data visualization of the tutorial, Tornado is an asynchronous development framework for high man, the need for friends can refer to the
Expansion module used
XLRD:
In the Python language, read the extension tool for Excel. You can implement the specified form, read the specified ce
CODE:#!/usr/bin/python #-*-Coding:utf-8-*-"Created on 2014-7-8@author:guaguastd@name:plot_frequencies_words.py" if _ _name__ = = ' __main__ ': #import JSON # import Counter from collections Import Counter # import Search From search Import Search_for_tweet # import visualize from visualize import visualize_for_frequencies # import login, see http://blog.csdn.net/guaguastd/article/details/31706155 from login import Twitter_login # ge T the tw
the volumeImport NumPy as NPX=np.random.randint (1,100,100) (generates 100 random integers from 1 to 100)BINS=[0,10,20,30,40,50,60,70,80,90,100] (Specify the range of divisions)Plt.hist (X,bins) (the number of conforming data in this range according to the specified range)Plt.hist (x,bins,rwidth=0.7) (Make bar chart spacing)Plt.show ()To plot a scatter plot:X=np.random.randint (1,10,50) (generates random numbers)Y=np.random.randint (1,10,50)Plt.scatter (x, y) (scatter plot, or multiple sets of
Matplotlib Brief Description: Matplotlib is a desktop drawing package for creating high-quality charts (mainly 2D). The project was launched by John Hunter in 2002 to build a MATLAB-style drawing interface for Python. If you use a Python IDE, such as Pycharm,matplotlib, you also have interactive features such as zoom and pan. It not only supports many different GUI backend on various operating systems, but
(types): Length=0ifLength Len (area_index): forArea,timesinchZip (area_index,post_times): Data= { 'name': Area,'Data': [Times],'type': Types}yieldData Length+ = 1 for in Data_gen ('column'): print(i) for in Data_gen ('column')]charts.plot (series,show=' ) inline ', Options=dict (title=dict (text=' Hangzhou Post Data statistics- Wang ')))Final Run Result:Summarize the points of knowledge:1, the introduction and use of charts module;2, the list of append () function use;3, COU
Reference: http://www.cnblogs.com/denny402/p/5088399.htmlThis section configures the Python interface to encounter a lot of pits.1, I use anaconda to configure the Python environment, in the Caffe root directory to join the Python folder to the environment variable this step encounteredQuestion, I didn't know how to add the export after I opened it with that comm
How the data is clear, accurate, interactive, and visualized through data, will achieve these effects.Libraries needed for Python visualization: pandas,matplotlibRefer to the official tutorial: http://matplotlib.org/index.htmlScatter plot:Plot function: Plot (x, Y, '. ', Color (r,g,b))X, y,x axis and y-axis sequence; '. ', the size of the midpoint of the scatter plot; Color:rgb definition#-*-coding:utf-8-*-
Python development [module]: CSV file data visualization,CSV Module
1. CSV file format
To store data in a text file, the simplest way is to write data into a file as a series of comma-separated values (CSV). Such a file becomes a CSV file, as shown below:
AKDT,Max TemperatureF,Mean TemperatureF,Min TemperatureF,Max Dew PointF,MeanDew PointF,Min DewpointF,Max Humidity, Mean Humidity, Min Humidity, Max Sea Le
After entering http://127.0.0.1:8050/in Google Chrome, enter to see visual results#-*-Coding:utf-8-*-"" "Created on Sun Mar one 10:16:43 2018@author:administrator" "" Import Dashimport Dash_core_componen TS as Dccimport dash_html_components as Htmlapp = Dash. Dash () App.layout = html. DIV (children=[ HTML. H1 (children= ' Dash tutorials '), DCC. Graph ( id= ' example ', figure={ ' data ': [ {' x ': [1, 2, 3, 4, 5], ' Y ': [9, 6, 2, 1, 5], ' type ':
When writing a program today, an interesting phenomenon was found. When the import statement is executed, a __pycache__ file is generated in the script directory after it is run . so I made the following summary explanation:I. Python basic operating mechanismPython programs run without the need to compile into binary code, and directly from the source to run the program, in short, the Python interpreter wil
1 ImportCSV2 3filename ='Ch02-data.csv'4data = []5 6 Try:7with open (filename) as f://binding a data file to an object F with the WITH statement8Reader =Csv.reader (f)9Header = Next (reader)//python 3. X is for next ()Tendata = [row forRowinchReader] One exceptCSV. Error as E: A Print('Error reading CSV file at line%s:%s'%(reader.line_num,e)) -Sys.exit (-1) - the ifHeader: - Print(header) - Print("=======================") - forRowinchDa
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