from plotly.offline import iplot, init_notebook_mode init_notebook_mode(connected = true) census = [1951,1961,1971,1981,1991,2001, 2011] x1 = [8.86, 15.35, 21.97, 29.76, 39.29, 53.67, 64.63] x2 = [27.15, 40.40, 45.96, 56.38,64.13, 75.26, 80.88] traceA = go.Scatter( x = x1, y = census, marker = dict(color = "crimson", size = 12), mode = "markers", name = "Women" ) traceB = go.Scatter( x = x2, y = census, marker = dict(color = "gold", size = 12), mode = "markers", name = "Men") data = [traceA, traceB] layout = go.Layout( title = "Trend in Literacy rate in Post independent India", xaxis_title = "percentage", yaxis_title = "census" ) fig = go.Figure(data = data, layout = layout) iplot(fig)
trace = go.Table( header = dict( values = ['Teams','Mat','Won','Lost','Tied','NR','Pts','NRR'], line_color = 'gray', fill_color = 'lightskyblue', align = 'left' ), cells = dict( values = [ [ 'India', 'Australia', 'England', 'New Zealand', 'Pakistan', 'Sri Lanka', 'South Africa', 'Bangladesh', 'West Indies', 'Afghanistan' ], [9,9,9,9,9,9,9,9,9,9], [7,7,6,5,5,3,3,3,2,0], [1,2,3,3,3,4,5,5,6,9], [0,0,0,0,0,0,0,0,0,0], [1,0,0,1,1,2,1,1,1,0], [15,14,12,11,11,8,7,7,5,0], [0.809,0.868,1.152,0.175,-0.43,-0.919,-0.03,-0.41,-0.225,-1.322] ], line_color='gray', fill_color='lightcyan', align='left' ) ) data = [trace] fig = go.Figure(data = data) iplot(fig)
团队 | 垫子 | 获胜 | 丢失 | 绑定 | NR | Pts | NRR |
印度 | 9 | 7 | 1 | 0 | 1 | 15 | 0.809 |
澳大利亚 | 9 | 7 | 2 | 0 | 0 | 14 | 0.868 |
英格兰 | 9 | 6 | 3 | 0 | 0 | 14 | 1.152 |
新西兰 | 9 | 5 | 3 | 0 | 1 | 11 | 0.175 |
巴基斯坦 | 9 | 5 | 3 | 0 | 1 | 11 | -0.43 |
斯里兰卡 | 9 | 3 | 4 | 0 | 2 | 8 | -0.919 |
南非 | 9 | 3 | 5 | 0 | 1 | 7 | -0.03 |
孟加拉国 | 9 | 3 | 5 | 0 | 1 | 7 | -0.41 |
Teams,Matches,Won,Lost,Tie,NR,Points,NRR India,9,7,1,0,1,15,0.809 Australia,9,7,2,0,0,14,0.868 England,9,6,3,0,0,12,1.152 New Zealand,9,5,3,0,1,11,0.175 Pakistan,9,5,3,0,1,11,-0.43 Sri Lanka,9,3,4,0,2,8,-0.919 South Africa,9,3,5,0,1,7,-0.03 Bangladesh,9,3,5,0,1,7,-0.41 West Indies,9,2,6,0,1,5,-0.225 Afghanistan,9,0,9,0,0,0,-1.322
import pandas as pd df = pd.read_csv('point-table.csv') trace = go.Table( header = dict(values = list(df.columns)), cells = dict( values = [ df.Teams, df.Matches, df.Won, df.Lost, df.Tie, df.NR, df.Points, df.NRR ] ) ) data = [trace] fig = go.Figure(data = data) iplot(fig)