|
| 1 | +# coding = utf-8 |
| 2 | +""" |
| 3 | +@author: zhou |
| 4 | +@time:2019/10/8 9:58 |
| 5 | +@File: analyse.py |
| 6 | +""" |
| 7 | + |
| 8 | +import pandas as pd |
| 9 | +from pyecharts import options as opts |
| 10 | +from pyecharts.charts import Bar, Scatter, Radar |
| 11 | +from pyecharts.commons.utils import JsCode |
| 12 | + |
| 13 | + |
| 14 | +# 球队分析 |
| 15 | +team_df = pd.read_csv('yingchao_data.csv') |
| 16 | + |
| 17 | +goal_data = team_df[['team', 'goal', 'goal_diff']] |
| 18 | +data_goal = goal_data.sort_values(by='goal', ascending=False) |
| 19 | +goal_data_name = data_goal['team'].values.tolist() |
| 20 | +goal_data_num = data_goal['goal'].values.tolist() |
| 21 | +goal_data_diff = data_goal['goal_diff'].values.tolist() |
| 22 | + |
| 23 | +bar = Bar() |
| 24 | +bar.add_xaxis(goal_data_name) |
| 25 | +bar.add_yaxis('', goal_data_num) |
| 26 | +bar.add_yaxis('', goal_data_diff) |
| 27 | +bar.set_global_opts( |
| 28 | + xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-30)), |
| 29 | + title_opts=opts.TitleOpts(title="各球队进球数据", subtitle="进球和净胜球"), |
| 30 | + datazoom_opts=opts.DataZoomOpts(), |
| 31 | +) |
| 32 | +bar.render_notebook() |
| 33 | + |
| 34 | +# 球员数据分析 |
| 35 | + |
| 36 | +# 综合得分 |
| 37 | +player_df = pd.read_csv('player_data.csv') |
| 38 | + |
| 39 | +score_data = player_df[['club', 'score']] |
| 40 | +score_mean = score_data.groupby(by = 'club').mean().sort_values(by = 'score', ascending = False) |
| 41 | +score_mean.reset_index(inplace = True) |
| 42 | +score_name = score_mean['club'].values.tolist() |
| 43 | +score_num = score_mean['score'].values.tolist() |
| 44 | + |
| 45 | +bar = Bar() |
| 46 | +bar.add_xaxis(score_name) |
| 47 | +bar.add_yaxis('', score_num) |
| 48 | +bar.set_global_opts( |
| 49 | + xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-30)), |
| 50 | + title_opts=opts.TitleOpts(title="各球队综合得分", subtitle="各球员综合得分均值"), |
| 51 | + datazoom_opts=opts.DataZoomOpts(), |
| 52 | +) |
| 53 | +bar.set_series_opts(itemstyle_opts={ |
| 54 | + "normal": { |
| 55 | + "color": JsCode("""new echarts.graphic.LinearGradient(0, 0, 0, 1, [{ |
| 56 | + offset: 0, |
| 57 | + color: 'rgba(0, 244, 255, 1)' |
| 58 | + }, { |
| 59 | + offset: 1, |
| 60 | + color: 'rgba(0, 77, 167, 1)' |
| 61 | + }], false)"""), |
| 62 | + "barBorderRadius": [30, 30, 30, 30], |
| 63 | + "shadowColor": 'rgb(0, 160, 221)', |
| 64 | + }}, |
| 65 | + label_opts=opts.LabelOpts(is_show=False)) |
| 66 | +bar.render_notebook() |
| 67 | + |
| 68 | +# 前锋分析 |
| 69 | +df_vanguard = player_df[player_df['staff'] == '前锋'][['staff', 'club', 'shot', 'speed', 'power']] |
| 70 | +df_vanguard = df_vanguard.groupby(by = 'club').mean()[['shot', 'speed', 'power']] |
| 71 | +df_vanguard['size'] = ((df_vanguard['shot'] - df_vanguard['shot'].min()) / (df_vanguard['shot'].max() - df_vanguard['shot'].min()) + 1) * 10 |
| 72 | +df_vanguard.reset_index(inplace = True) |
| 73 | +df_vanguard.sort_values(by = 'shot', ascending = False, inplace = True) |
| 74 | +vanguard_shot = df_vanguard['shot'].values.tolist() |
| 75 | +vanguard_speed = df_vanguard['speed'].values.tolist() |
| 76 | +vanguard_power = df_vanguard['power'].values.tolist() |
| 77 | +vanguard_club = df_vanguard['club'].values.tolist() |
| 78 | +vanguard_size = df_vanguard['size'].values.tolist() |
| 79 | + |
| 80 | +bar = Bar() |
| 81 | +bar.add_xaxis(vanguard_club) |
| 82 | +bar.add_yaxis('', vanguard_shot, gap="0%") |
| 83 | +bar.add_yaxis('', vanguard_speed, gap="0%") |
| 84 | +bar.add_yaxis('', vanguard_power, gap="0%") |
| 85 | +bar.set_global_opts( |
| 86 | + xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-30)), |
| 87 | + title_opts=opts.TitleOpts(title="各球队前锋数据", subtitle="射术、速度和力量"), |
| 88 | + datazoom_opts=opts.DataZoomOpts(), |
| 89 | +) |
| 90 | +bar.set_series_opts( |
| 91 | + label_opts=opts.LabelOpts(is_show=False)) |
| 92 | +bar.render_notebook() |
| 93 | + |
| 94 | +# 锋线散点图 |
| 95 | +scatter = Scatter() |
| 96 | +scatter.add_xaxis(vanguard_club) |
| 97 | +scatter.add_yaxis("shot", vanguard_shot, symbol='pin') |
| 98 | +scatter.add_yaxis("speed", vanguard_speed, symbol='triangle') |
| 99 | +scatter.add_yaxis("power", vanguard_power, symbol='diamond') |
| 100 | +scatter.set_global_opts( |
| 101 | + xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-30)), |
| 102 | + title_opts=opts.TitleOpts(title="各球队前锋数据"), |
| 103 | + visualmap_opts=opts.VisualMapOpts(type_='size', max_=90, min_=60), |
| 104 | + ) |
| 105 | +scatter.set_series_opts( |
| 106 | + label_opts=opts.LabelOpts(is_show=False)) |
| 107 | +scatter.render_notebook() |
| 108 | + |
| 109 | +# 中场 |
| 110 | +df_midfield = player_df[player_df['staff'] == '中场'][['staff', 'club', 'pass', 'speed', 'tape']] |
| 111 | +df_midfield = df_midfield.groupby(by = 'club').mean()[['pass', 'speed', 'tape']] |
| 112 | +df_midfield['size'] = ((df_midfield['tape'] - df_midfield['tape'].min()) / (df_midfield['tape'].max() - df_midfield['tape'].min()) + 1) * 10 |
| 113 | +df_midfield.reset_index(inplace = True) |
| 114 | +df_midfield.sort_values(by = 'pass', ascending = False, inplace = True) |
| 115 | +midfield_pass = df_midfield['pass'].values.tolist() |
| 116 | +midfield_speed = df_midfield['speed'].values.tolist() |
| 117 | +midfield_tape = df_midfield['tape'].values.tolist() |
| 118 | +midfield_club = df_midfield['club'].values.tolist() |
| 119 | +midfield_size = df_midfield['size'].values.tolist() |
| 120 | + |
| 121 | +bar = Bar() |
| 122 | +bar.add_xaxis(midfield_club) |
| 123 | +bar.add_yaxis('', midfield_pass, gap="0%") |
| 124 | +bar.add_yaxis('', midfield_speed, gap="0%") |
| 125 | +bar.add_yaxis('', midfield_tape, gap="0%") |
| 126 | +bar.set_global_opts( |
| 127 | + xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-30)), |
| 128 | + title_opts=opts.TitleOpts(title="各球队中场数据", subtitle="传球、速度和盘带"), |
| 129 | + datazoom_opts=opts.DataZoomOpts(), |
| 130 | +) |
| 131 | +bar.set_series_opts( |
| 132 | + label_opts=opts.LabelOpts(is_show=False)) |
| 133 | +bar.render_notebook() |
| 134 | + |
| 135 | +# 后卫 |
| 136 | +df_guard = player_df[player_df['staff'] == '后卫'][['staff', 'club', 'pass', 'defend', 'power']] |
| 137 | +df_guard = df_guard.groupby(by = 'club').mean()[['pass', 'defend', 'power']] |
| 138 | +df_guard['size'] = ((df_guard['defend'] - df_guard['defend'].min()) / (df_guard['defend'].max() - df_guard['defend'].min()) + 1) * 10 |
| 139 | +df_guard.reset_index(inplace = True) |
| 140 | +df_guard.sort_values(by = 'defend', ascending = False, inplace = True) |
| 141 | +guard_pass = df_guard['pass'].values.tolist() |
| 142 | +guard_defend = df_guard['defend'].values.tolist() |
| 143 | +guard_power = df_guard['power'].values.tolist() |
| 144 | +guard_club = df_guard['club'].values.tolist() |
| 145 | +guard_size = df_guard['size'].values.tolist() |
| 146 | + |
| 147 | +bar = Bar() |
| 148 | +bar.add_xaxis(midfield_club) |
| 149 | +bar.add_yaxis('', midfield_pass, gap="0%") |
| 150 | +bar.add_yaxis('', midfield_speed, gap="0%") |
| 151 | +bar.add_yaxis('', midfield_tape, gap="0%") |
| 152 | +bar.set_global_opts( |
| 153 | + xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-30)), |
| 154 | + title_opts=opts.TitleOpts(title="各球队后卫数据", subtitle="传球、防守和力量"), |
| 155 | + datazoom_opts=opts.DataZoomOpts(), |
| 156 | +) |
| 157 | +bar.set_series_opts( |
| 158 | + label_opts=opts.LabelOpts(is_show=False)) |
| 159 | +bar.render_notebook() |
| 160 | + |
| 161 | +# 英超五强 |
| 162 | +team = player_df.groupby(by='club').mean() |
| 163 | +team.reset_index(inplace = True) |
| 164 | + |
| 165 | +liwupu_score = team[team['club'] == '利物浦']['score'].values.tolist() |
| 166 | +liwupu_speed = team[team['club'] == '利物浦']['speed'].values.tolist() |
| 167 | +liwupu_power = team[team['club'] == '利物浦']['power'].values.tolist() |
| 168 | +liwupu_defend = team[team['club'] == '利物浦']['defend'].values.tolist() |
| 169 | +liwupu_tape = team[team['club'] == '利物浦']['tape'].values.tolist() |
| 170 | +liwupu_pass = team[team['club'] == '利物浦']['pass'].values.tolist() |
| 171 | +liwupu_shot = team[team['club'] == '利物浦']['shot'].values.tolist() |
| 172 | +liwupu_data = [] |
| 173 | +liwupu_tmp_data = [int(liwupu_score[0]), int(liwupu_speed[0]), int(liwupu_power[0]), int(liwupu_defend[0]), int(liwupu_tape[0]), |
| 174 | +int(liwupu_pass[0]), int(liwupu_shot[0])] |
| 175 | +liwupu_data.append(liwupu_tmp_data) |
| 176 | + |
| 177 | +mancheng_score = team[team['club'] == '曼城']['score'].values.tolist() |
| 178 | +mancheng_speed = team[team['club'] == '曼城']['speed'].values.tolist() |
| 179 | +mancheng_power = team[team['club'] == '曼城']['power'].values.tolist() |
| 180 | +mancheng_defend = team[team['club'] == '曼城']['defend'].values.tolist() |
| 181 | +mancheng_tape = team[team['club'] == '曼城']['tape'].values.tolist() |
| 182 | +mancheng_pass = team[team['club'] == '曼城']['pass'].values.tolist() |
| 183 | +mancheng_shot = team[team['club'] == '曼城']['shot'].values.tolist() |
| 184 | +mancheng_data = [] |
| 185 | +mancheng_tmp_data = [int(mancheng_score[0]), int(mancheng_speed[0]), int(mancheng_power[0]), int(mancheng_defend[0]), int(mancheng_tape[0]), |
| 186 | +int(mancheng_pass[0]), int(mancheng_shot[0])] |
| 187 | +mancheng_data.append(mancheng_tmp_data) |
| 188 | + |
| 189 | +asenna_score = team[team['club'] == '阿森纳']['score'].values.tolist() |
| 190 | +asenna_speed = team[team['club'] == '阿森纳']['speed'].values.tolist() |
| 191 | +asenna_power = team[team['club'] == '阿森纳']['power'].values.tolist() |
| 192 | +asenna_defend = team[team['club'] == '阿森纳']['defend'].values.tolist() |
| 193 | +asenna_tape = team[team['club'] == '阿森纳']['tape'].values.tolist() |
| 194 | +asenna_pass = team[team['club'] == '阿森纳']['pass'].values.tolist() |
| 195 | +asenna_shot = team[team['club'] == '阿森纳']['shot'].values.tolist() |
| 196 | +asenna_data = [] |
| 197 | +asenna_tmp_data = [int(asenna_score[0]), int(asenna_speed[0]), int(asenna_power[0]), int(asenna_defend[0]), int(asenna_tape[0]), |
| 198 | +int(asenna_pass[0]), int(asenna_shot[0])] |
| 199 | +asenna_data.append(asenna_tmp_data) |
| 200 | + |
| 201 | +manlian_score = team[team['club'] == '曼联']['score'].values.tolist() |
| 202 | +manlian_speed = team[team['club'] == '曼联']['speed'].values.tolist() |
| 203 | +manlian_power = team[team['club'] == '曼联']['power'].values.tolist() |
| 204 | +manlian_defend = team[team['club'] == '曼联']['defend'].values.tolist() |
| 205 | +manlian_tape = team[team['club'] == '曼联']['tape'].values.tolist() |
| 206 | +manlian_pass = team[team['club'] == '曼联']['pass'].values.tolist() |
| 207 | +manlian_shot = team[team['club'] == '曼联']['shot'].values.tolist() |
| 208 | +manlian_data = [] |
| 209 | +manlian_tmp_data = [int(manlian_score[0]), int(manlian_speed[0]), int(manlian_power[0]), int(manlian_defend[0]), int(manlian_tape[0]), |
| 210 | +int(manlian_pass[0]), int(manlian_shot[0])] |
| 211 | +manlian_data.append(manlian_tmp_data) |
| 212 | + |
| 213 | +qieerxi_score = team[team['club'] == '切尔西']['score'].values.tolist() |
| 214 | +qieerxi_speed = team[team['club'] == '切尔西']['speed'].values.tolist() |
| 215 | +qieerxi_power = team[team['club'] == '切尔西']['power'].values.tolist() |
| 216 | +qieerxi_defend = team[team['club'] == '切尔西']['defend'].values.tolist() |
| 217 | +qieerxi_tape = team[team['club'] == '切尔西']['tape'].values.tolist() |
| 218 | +qieerxi_pass = team[team['club'] == '切尔西']['pass'].values.tolist() |
| 219 | +qieerxi_shot = team[team['club'] == '切尔西']['shot'].values.tolist() |
| 220 | +qieerxi_data = [] |
| 221 | +qieerxi_tmp_data = [int(qieerxi_score[0]), int(qieerxi_speed[0]), int(qieerxi_power[0]), int(qieerxi_defend[0]), int(qieerxi_tape[0]), |
| 222 | +int(qieerxi_pass[0]), int(qieerxi_shot[0])] |
| 223 | +qieerxi_data.append(qieerxi_tmp_data) |
| 224 | + |
| 225 | +radar = Radar() |
| 226 | +radar.add_schema( |
| 227 | + schema=[ |
| 228 | + opts.RadarIndicatorItem(name='综合得分', max_=100), |
| 229 | + opts.RadarIndicatorItem(name='速度', max_=100), |
| 230 | + opts.RadarIndicatorItem(name='力量', max_=100), |
| 231 | + opts.RadarIndicatorItem(name='防守', max_=100), |
| 232 | + opts.RadarIndicatorItem(name='盘带', max_=100), |
| 233 | + opts.RadarIndicatorItem(name='传球', max_=100), |
| 234 | + opts.RadarIndicatorItem(name='射术', max_=100) |
| 235 | + ] |
| 236 | +) |
| 237 | +radar.add('利物浦', liwupu_data, color="#f9713c") |
| 238 | +radar.add('曼城', mancheng_data, color="#30ff00") |
| 239 | +radar.add('阿森纳', asenna_data, color="#9400D3") |
| 240 | +radar.add('曼联', manlian_data, color="#141414") |
| 241 | +radar.add('切尔西', qieerxi_data, color="#00F5FF") |
| 242 | +radar.render_notebook() |
| 243 | + |
| 244 | + |
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