pandas练习（二）------ 数据过滤与排序 - 半夜打老虎 - 博客园

　　相关数据见（github）

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　　 RangeIndex: 16 entries, 0 to 15 Data columns (total 35 columns): Team 16 non-null object Goals 16 non-null int64 Shots on target 16 non-null int64 Shots off target 16 non-null int64 Shooting Accuracy 16 non-null object % Goals-to-shots 16 non-null object Total shots (inc. Blocked) 16 non-null int64 Hit Woodwork 16 non-null int64 Penalty goals 16 non-null int64 Penalties not scored 16 non-null int64 Headed goals 16 non-null int64 Passes 16 non-null int64 Passes completed 16 non-null int64 Passing Accuracy 16 non-null object Touches 16 non-null int64 Crosses 16 non-null int64 Dribbles 16 non-null int64 Corners Taken 16 non-null int64 Tackles 16 non-null int64 Clearances 16 non-null int64 Interceptions 16 non-null int64 Clearances off line 15 non-null float64 Clean Sheets 16 non-null int64 Blocks 16 non-null int64 Goals conceded 16 non-null int64 Saves made 16 non-null int64 Saves-to-shots ratio 16 non-null object Fouls Won 16 non-null int64 Fouls Conceded 16 non-null int64 Offsides 16 non-null int64 Yellow Cards 16 non-null int64 Red Cards 16 non-null int64 Subs on 16 non-null int64 Subs off 16 non-null int64 Players Used 16 non-null int64 dtypes: float64(1), int64(29), object(5) memory usage: 4.5+ KB

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　　7.0

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　　1、http://pandas.pydata.org/pandas-docs/stable/cookbook.html#cookbook

　　2、https://www.analyticsvidhya.com/blog/2016/01/12-pandas-techniques-python-data-manipulation/

　　3、https://github.com/guipsamora/pandas_exercises