bb 100 non-null values so 100 non-null values ibb 100 non-null values hbp 100 non-null values sh 100 non-null values sf 100 non-null values gidp 100 non-null values dtypes: float64(9), int64(10) int64 hr int64 rbi float64 sb float64 cs float64 bb int64 so float64 ibb float64 hbp float64 sh float64 sf float64 gidp float64 The related method get_dtype_counts will return the number of columns

bb 100 non-null values so 100 non-null values ibb 100 non-null values hbp 100 non-null values sh 100 non-null values sf 100 non-null values gidp 100 non-null values dtypes: float64(9), int64(10) int64 hr int64 rbi float64 sb float64 cs float64 bb int64 so float64 ibb float64 hbp float64 sh float64 sf float64 gidp float64 The related method get_dtype_counts will return the number of columns

bb 100 non-null values so 100 non-null values ibb 100 non-null values hbp 100 non-null values sh 100 non-null values sf 100 non-null values gidp 100 non-null values dtypes: float64(9), int64(10) int64 hr int64 rbi float64 sb float64 cs float64 bb int64 so float64 ibb float64 hbp float64 sh float64 sf float64 gidp float64 The related method get_dtype_counts will return the number of columns

csv') In [120]: print(baseball) id player year stint team lg g ab r h ... rbi sb �→ cs bb so ibb hbp sh sf gidp 0 88641 womacto01 2006 2 CHN NL 19 50 6 14 ... 2.0 1.0 �→1.0 4 4.0 0.0 0.0 3.0 0.0 0.0 1 88643 structures 125 pandas: powerful Python data analysis toolkit, Release 0.25.3 hbp 100 non-null float64 sh 100 non-null float64 sf 100 non-null float64 gidp 100 non-null float64 dtypes: float64(9), int64(11) loc[lambda df: df.r > 100]) ....: Out[92]: stint g ab r h X2b X3b hr rbi sb cs bb so �→ibb hbp sh sf gidp year team �→ 2007 CIN 6 379 745 101 203 35 2 36 125.0 10.0 1.0 105 127.0 14. �→0 1.0 1.0

[121]: print(baseball) id player year stint team lg g ab r h X2b X3b hr rbi sb ˓→ cs bb so ibb hbp sh sf gidp 0 88641 womacto01 2006 2 CHN NL 19 50 6 14 1 0 1 2.0 1.0 ˓→ 1.0 4 4.0 0.0 0.0 3.0 0.0 0.0 non-null int64 17 so 100 non-null float64 18 ibb 100 non-null float64 19 hbp 100 non-null float64 20 sh 100 non-null float64 21 sf 100 non-null float64 22 gidp 100 non-null float64 dtypes: float64(9) anonymous connection, such as New in version 1.2.0. pd.read_csv( "s3://ncei-wcsd-archive/data/processed/SH1305/18kHz/SaKe2013" "-D20130523-T080854_to_SaKe2013-D20130523-T085643.csv", storage_options={"anon":

[121]: print(baseball) id player year stint team lg g ab r h X2b X3b hr rbi sb ˓→ cs bb so ibb hbp sh sf gidp 0 88641 womacto01 2006 2 CHN NL 19 50 6 14 1 0 1 2.0 1.0 ˓→ 1.0 4 4.0 0.0 0.0 3.0 0.0 0.0 non-null int64 17 so 100 non-null float64 18 ibb 100 non-null float64 19 hbp 100 non-null float64 20 sh 100 non-null float64 21 sf 100 non-null float64 22 gidp 100 non-null float64 dtypes: float64(9) anonymous connection, such as New in version 1.2.0. pd.read_csv( "s3://ncei-wcsd-archive/data/processed/SH1305/18kHz/SaKe2013" "-D20130523-T080854_to_SaKe2013-D20130523-T085643.csv", storage_options={"anon":

[121]: print(baseball) id player year stint team lg g ab r h X2b X3b hr rbi sb ␣ ˓→cs bb so ibb hbp sh sf gidp 0 88641 womacto01 2006 2 CHN NL 19 50 6 14 1 0 1 2.0 1.0 1. ˓→0 4 4.0 0.0 0.0 3.0 0.0 0.0 non-null int64 17 so 100 non-null float64 18 ibb 100 non-null float64 19 hbp 100 non-null float64 20 sh 100 non-null float64 21 sf 100 non-null float64 22 gidp 100 non-null float64 dtypes: float64(9) anonymous connection, such as New in version 1.2.0. pd.read_csv( "s3://ncei-wcsd-archive/data/processed/SH1305/18kHz/SaKe2013" "-D20130523-T080854_to_SaKe2013-D20130523-T085643.csv", storage_options={"anon":

[121]: print(baseball) id player year stint team lg g ab r h X2b X3b hr rbi sb ␣ ˓→cs bb so ibb hbp sh sf gidp 0 88641 womacto01 2006 2 CHN NL 19 50 6 14 1 0 1 2.0 1.0 1. ˓→0 4 4.0 0.0 0.0 3.0 0.0 0.0 non-null int64 17 so 100 non-null float64 18 ibb 100 non-null float64 19 hbp 100 non-null float64 20 sh 100 non-null float64 21 sf 100 non-null float64 22 gidp 100 non-null float64 dtypes: float64(9) anonymous connection, such as New in version 1.2.0. pd.read_csv( "s3://ncei-wcsd-archive/data/processed/SH1305/18kHz/SaKe2013" "-D20130523-T080854_to_SaKe2013-D20130523-T085643.csv", storage_options={"anon":

[121]: print(baseball) id player year stint team lg g ab r h X2b X3b hr rbi sb ˓→ cs bb so ibb hbp sh sf gidp 0 88641 womacto01 2006 2 CHN NL 19 50 6 14 1 0 1 2.0 1.0 ˓→ 1.0 4 4.0 0.0 0.0 3.0 0.0 0.0 non-null int64 17 so 100 non-null float64 18 ibb 100 non-null float64 19 hbp 100 non-null float64 20 sh 100 non-null float64 21 sf 100 non-null float64 22 gidp 100 non-null float64 dtypes: float64(9) anonymous connection, such as New in version 1.2.0. pd.read_csv( "s3://ncei-wcsd-archive/data/processed/SH1305/18kHz/SaKe2013" "-D20130523-T080854_to_SaKe2013-D20130523-T085643.csv", storage_options={"anon":

[121]: print(baseball) id player year stint team lg g ab r h X2b X3b hr rbi sb ␣ ˓→cs bb so ibb hbp sh sf gidp 0 88641 womacto01 2006 2 CHN NL 19 50 6 14 1 0 1 2.0 1.0 1. ˓→0 4 4.0 0.0 0.0 3.0 0.0 0.0 non-null int64 17 so 100 non-null float64 18 ibb 100 non-null float64 19 hbp 100 non-null float64 20 sh 100 non-null float64 21 sf 100 non-null float64 22 gidp 100 non-null float64 dtypes: float64(9) anonymous connection, such as New in version 1.2.0. pd.read_csv( "s3://ncei-wcsd-archive/data/processed/SH1305/18kHz/SaKe2013" "-D20130523-T080854_to_SaKe2013-D20130523-T085643.csv", storage_options={"anon":