21.0 (October 27, 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2609 5.7 Version 0.20 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . apple,bat,5.7\n' ....: '8,orange,cow,10') ....: In [86]: pd.read_csv(StringIO(data)) Out[86]: a b c 4 apple bat 5.7 8 orange cow 10.0 In [87]: data = ('index,a,b,c\n' ....: '4,apple,bat,5.7\n' .. 10') ....: In [88]: pd.read_csv(StringIO(data), index_col=0) Out[88]: a b c index 4 apple bat 5.7 8 orange cow 10.0 Ordinarily, you can achieve this behavior using the index_col option. There are

What’s new in 0.24.0 (January 25, 2019) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2907 5.7 Version 0.23 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . = "a,b,c\n4,apple,bat,5.7\n8,orange,cow,10" In [86]: pd.read_csv(StringIO(data)) Out[86]: a b c 4 apple bat 5.7 8 orange cow 10.0 In [87]: data = "index,a,b,c\n4,apple,bat,5.7\n8,orange,cow,10" In In [88]: pd.read_csv(StringIO(data), index_col=0) Out[88]: a b c index 4 apple bat 5.7 8 orange cow 10.0 Ordinarily, you can achieve this behavior using the index_col option. There are some exception

What’s new in 0.24.0 (January 25, 2019) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2986 5.7 Version 0.23 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . = "a,b,c\n4,apple,bat,5.7\n8,orange,cow,10" In [86]: pd.read_csv(StringIO(data)) Out[86]: a b c 4 apple bat 5.7 8 orange cow 10.0 In [87]: data = "index,a,b,c\n4,apple,bat,5.7\n8,orange,cow,10" In In [88]: pd.read_csv(StringIO(data), index_col=0) Out[88]: a b c index 4 apple bat 5.7 8 orange cow 10.0 Ordinarily, you can achieve this behavior using the index_col option. There are some exception

What’s new in 0.24.0 (January 25, 2019) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2988 5.7 Version 0.23 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . = "a,b,c\n4,apple,bat,5.7\n8,orange,cow,10" In [86]: pd.read_csv(StringIO(data)) Out[86]: a b c 4 apple bat 5.7 8 orange cow 10.0 In [87]: data = "index,a,b,c\n4,apple,bat,5.7\n8,orange,cow,10" In In [88]: pd.read_csv(StringIO(data), index_col=0) Out[88]: a b c index 4 apple bat 5.7 8 orange cow 10.0 Ordinarily, you can achieve this behavior using the index_col option. There are some exception

21.0 (October 27, 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2604 5.7 Version 0.20 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . apple,bat,5.7\n' ....: '8,orange,cow,10') ....: In [86]: pd.read_csv(StringIO(data)) Out[86]: a b c 4 apple bat 5.7 8 orange cow 10.0 In [87]: data = ('index,a,b,c\n' ....: '4,apple,bat,5.7\n' .. 10') ....: In [88]: pd.read_csv(StringIO(data), index_col=0) Out[88]: a b c index 4 apple bat 5.7 8 orange cow 10.0 Ordinarily, you can achieve this behavior using the index_col option. There are

What’s new in 0.25.0 (July 18, 2019) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3081 5.7 Version 0.24 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . = "a,b,c\n4,apple,bat,5.7\n8,orange,cow,10" In [90]: pd.read_csv(StringIO(data)) Out[90]: a b c 4 apple bat 5.7 8 orange cow 10.0 In [91]: data = "index,a,b,c\n4,apple,bat,5.7\n8,orange,cow,10" In In [92]: pd.read_csv(StringIO(data), index_col=0) Out[92]: a b c index 4 apple bat 5.7 8 orange cow 10.0 Ordinarily, you can achieve this behavior using the index_col option. There are some exception

What’s new in 0.25.0 (July 18, 2019) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3086 5.7 Version 0.24 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . = "a,b,c\n4,apple,bat,5.7\n8,orange,cow,10" In [90]: pd.read_csv(StringIO(data)) Out[90]: a b c 4 apple bat 5.7 8 orange cow 10.0 In [91]: data = "index,a,b,c\n4,apple,bat,5.7\n8,orange,cow,10" In In [92]: pd.read_csv(StringIO(data), index_col=0) Out[92]: a b c index 4 apple bat 5.7 8 orange cow 10.0 Ordinarily, you can achieve this behavior using the index_col option. There are some exception

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 5.7 Grouping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 435589 0.192451 7 -0.096701 0.803351 1.715071 -0.708758 8 1.453749 1.208843 -0.080952 -0.264610 5.7 Grouping By “group by” we are referring to a process involving one or more of the following steps resulting groups. In [85]: df.groupby(’A’).sum() C D A bar -2.802588 2.42611 foo 3.146492 -0.63958 5.7. Grouping 93 pandas: powerful Python data analysis toolkit, Release 0.12.0 Grouping by multiple columns

22.0 (December 29, 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2737 5.7 Version 0.21 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . apple,bat,5.7\n' ....: '8,orange,cow,10') ....: In [86]: pd.read_csv(StringIO(data)) Out[86]: a b c 4 apple bat 5.7 8 orange cow 10.0 In [87]: data = ('index,a,b,c\n' ....: '4,apple,bat,5.7\n' .. 10') ....: In [88]: pd.read_csv(StringIO(data), index_col=0) Out[88]: a b c index 4 apple bat 5.7 8 orange cow 10.0 Ordinarily, you can achieve this behavior using the index_col option. There are

22.0 (December 29, 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2735 5.7 Version 0.21 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . apple,bat,5.7\n' ....: '8,orange,cow,10') ....: In [86]: pd.read_csv(StringIO(data)) Out[86]: a b c 4 apple bat 5.7 8 orange cow 10.0 In [87]: data = ('index,a,b,c\n' ....: '4,apple,bat,5.7\n' .. 10') ....: In [88]: pd.read_csv(StringIO(data), index_col=0) Out[88]: a b c index 4 apple bat 5.7 8 orange cow 10.0 Ordinarily, you can achieve this behavior using the index_col option. There are