python--Visualization of data

Source: Internet
Author: User

How the data is clear, accurate, interactive, and visualized through data, will achieve these effects.

Libraries needed for Python visualization: pandas,matplotlib

Refer to the official tutorial:

Scatter 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-*-ImportPandasImportmatplotlibImportMatplotlib.pyplot as Pltdata=Pandas.read_csv ('C://users//leon//desktop//data.csv') Maincolor= (52/256, 88/256, 151/256, 1)#1 is transparencyFont= {    'size': 20,    'Family':'Simhei'}   #sets the font and does not display the Chinese font if not setMatplotlib.rc ('Font', **font)#%matplotlib qt#Plt.grid (True)#Little DotPlt.xlabel ('Advertising costs', color=maincolor) Plt.ylabel ('number of users purchased', color=maincolor) plt.tick_params (axis='x', Colors=maincolor)#tick mark SettingsPlt.tick_params (axis='y', colors=maincolor) Plt.plot (data['Advertising costs'], data['number of users purchased'],     '.', color=Maincolor)

If the running environment is pycharm, add it at the end: ()
Before you can display graphics.

Line chart:

Plot (X,y,style,color,linewidth)

Title (' Plotting of the graph ')

Style, the pattern of a line; the width of a linewidth line.

ImportPandasImportmatplotlib fromMatplotlibImportPyplot as Pltdata=Pandas.read_csv ('C://users//leon//desktop//data.csv')#Converting a date formatdata['Date of purchase'] =Pandas.to_datetime (data['Date']) Maincolor= (42/256, 87/256, 141/256, 1); font= {    'size': 20,    'Family':'Simhei'}matplotlib.rc ('Font', **font)#%matplotlib qtPlt.xlabel ('Date of purchase', Color=maincolor) Plt.ylabel ('number of users purchased', Color=maincolor) plt.tick_params (axis='x', Colors=maincolor) plt.tick_params (axis='y', Colors=Maincolor)#'-' a smooth curvePlt.plot (data['Date of purchase'], data['number of users purchased'],     '-', color=maincolor) Plt.title ('number of users purchased') ()

The Plt.plot (the third parameter is set to '-', as opposed to the scatter plot, can be converted to the line graph.)

Pie chart:

Pie (x,labels,colors,explode,autopct)

X-plot sequence, labels tag sequence, colors color, explode need to highlight the sequence, autopct pie Proportion of the hand format;%.2f reserved 2 decimal places

Labels ='Frogs','Hogs','Dogs','Logs'Sizes= [15, 30, 45, 10]explode= (0, 0.1, 0, 0)#Only "Explode" the 2nd slice (i.e. ' hogs ')Fig1, Ax1=plt.subplots () Ax1.pie (sizes, explode=explode, Labels=labels, autopct='%1.1f%%', Shadow=true, startangle=90) Ax1.axis ('Equal')#Equal aspect ratio ensures that pie is drawn as a circle.

#也就是圆形的饼图, not an oval pie chart ()

Column chart:

Bar (Left,height,width,color)

Left x-axis sequence; height y-axis value; width column chart widths; color Fill Colors

ImportNumPyImportPandasImportmatplotlib fromMatplotlibImportPyplot as Pltfont= {    'Family':'Simhei'}matplotlib.rc ('Font', **font)#Create a Chinese environmentData=Pandas.read_csv ('C://users//leon//desktop//data.csv') Result=Data.groupby ( by=['Mobile Brand'], As_index=False) ['monthly Consumption (yuan)'].agg ({'Monthly Consumption': Numpy.sum}) #Perspective#Vertical Column ChartMaincolor = (42/256, 87/256, 141/256, 1) Index=numpy.arange (result. Monthly consumption. Size) SGB=Result.sort_values ( by="Monthly Consumption", Ascending=False)#Descending, False to True is (Index, SGB. Monthly consumption, color=maincolor) plt.xticks (index, SGB. Mobile brand)#xticks function to add Chinese ()

python--Visualization of data

Related Article

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.