pandas: powerful Python data analysis toolkit - 0.15. . 323 11 Options and Settings 325 11.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325 11.2 Getting and Setting Options . . . . . . . . . . . . . 326 11.3 Setting Startup Options in python/ipython Environment . . . . . . . . . . . . . . . . . . . . . . . . 327 11.4 Frequently Used Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 11.5 List of Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 333 11.6 Number Formatting . . . . . .0 码力 | 1579 页 | 9.15 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15.1. . 315 11 Options and Settings 317 11.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 11.2 Getting and Setting Options . . . . . . . . . . . . . 318 11.3 Setting Startup Options in python/ipython Environment . . . . . . . . . . . . . . . . . . . . . . . . 319 11.4 Frequently Used Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 11.5 List of Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325 11.6 Number Formatting . . . . . .0 码力 | 1557 页 | 9.10 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.13.1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 9.13 Working with package options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218 9.14 Console Output user is assigning to a copy. This can be changed with the option mode.chained_assignment, allowed options are raise/warn/None. See the docs. In [5]: dfc = DataFrame({’A’:[’aaa’,’bbb’,’ccc’],’B’:[1,2,3]}) 306681 2001-01-04 1.026208 2001-01-05 -0.538879 Freq: D, Name: B, dtype: float64 • In pd.io.data.Options, – Fix bug when trying to fetch data for the current month when already past expiry. 52 Chapter0 码力 | 1219 页 | 4.81 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.12. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161 8.13 Working with package options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168 8.14 Console Output 995631 2001-01-04 -0.755777 2001-01-05 0.118077 Freq: D, Name: B, dtype: float64 • In pd.io.data.Options, – Fix bug when trying to fetch data for the current month when already past expiry. – Now using month and year of the option’s expiry. – Options.get_near_stock_price now allows the user to specify the month for which to get rele- vant options data. – Options.get_forward_data now has optional kwargs0 码力 | 657 页 | 3.58 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.17.0. . 393 12 Options and Settings 395 12.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395 12.2 Getting and Setting Options . . . . . . . . . . . . . 396 12.3 Setting Startup Options in python/ipython Environment . . . . . . . . . . . . . . . . . . . . . . . . 397 12.4 Frequently Used Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397 12.5 List of Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403 12.6 Number Formatting . . . . . .0 码力 | 1787 页 | 10.76 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.14.0. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238 9.13 Working with package options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245 9.14 Console Output (GH4553) 1.1.3 Text Parsing API Changes read_csv()/read_table() will now be noiser w.r.t invalid options rather than falling back to the PythonParser. • Raise ValueError when sep specified with delim_whitespace=True ValueError when engine=’c’ specified with unsupported options in read_csv()/read_table() (GH6607) • Raise ValueError when fallback to python parser causes options to be ignored (GH6607) • Produce ParserWarning0 码力 | 1349 页 | 7.67 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.7.3What’s New pandas: powerful Python data analysis toolkit, Release 0.7.3 • Add log x and y scaling options to DataFrame.plot and Series.plot • Add kurt methods to Series and DataFrame for computing kurtosis (PR563) • Add logy option to Series.plot for log-scaling on the Y axis • Add index and header options to DataFrame.to_string • Can pass multiple DataFrames to DataFrame.join to join on index (GH115) • Can append single rows (as Series) to a DataFrame • Add Spearman and Kendall rank correlation options to Series.corr and DataFrame.corr (GH428) • Added get_value and set_value methods to Series, DataFrame0 码力 | 297 页 | 1.92 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.0. . 507 12 Options and Settings 509 12.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 509 12.2 Getting and Setting Options . . . . . . . . . . . . . 510 12.3 Setting Startup Options in python/ipython Environment . . . . . . . . . . . . . . . . . . . . . . . . 511 12.4 Frequently Used Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 511 12.5 Available Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517 12.6 Number Formatting . . . . . . .0 码力 | 1937 页 | 12.03 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.1. . 509 12 Options and Settings 511 12.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 511 12.2 Getting and Setting Options . . . . . . . . . . . . . 512 12.3 Setting Startup Options in python/ipython Environment . . . . . . . . . . . . . . . . . . . . . . . . 513 12.4 Frequently Used Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 513 12.5 Available Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 519 12.6 Number Formatting . . . . . . .0 码力 | 1943 页 | 12.06 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.3. . 568 11 Options and Settings 571 11.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 571 11.2 Getting and Setting Options . . . . . . . . . . . . . 572 11.3 Setting Startup Options in python/ipython Environment . . . . . . . . . . . . . . . . . . . . . . . . 573 11.4 Frequently Used Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 573 11.5 Available Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 579 11.6 Number Formatting . . . . . . .0 码力 | 2045 页 | 9.18 MB | 1 年前3
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