pandas: powerful Python data analysis toolkit - 0.15dates are available from Yahoo and when it receives no data from Yahoo (GH8761), (GH8783). • Unclear error message in csv parsing when passing dtype and names and the parsed data is a different data type (GH8833) as a list of hard-coded country codes and the World Bank’s JSON response. In prior versions, the error messages didn’t look at the World Bank’s JSON response. Problem-inducing input were simply dropped of a MultiIndex (GH7846) • Timestamp.tz_localize and Timestamp.tz_convert now raise TypeError in error cases, rather than Exception (GH8025) • a timeseries/index localized to UTC when inserted into a0 码力 | 1579 页 | 9.15 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15.1as a list of hard-coded country codes and the World Bank’s JSON response. In prior versions, the error messages didn’t look at the World Bank’s JSON response. Problem-inducing input were simply dropped of a MultiIndex (GH7846) • Timestamp.tz_localize and Timestamp.tz_convert now raise TypeError in error cases, rather than Exception (GH8025) • a timeseries/index localized to UTC when inserted into a rolling_cor(), ewmcov(), and ewmcorr() returning results with columns sorted by name and producing an error for non-unique columns; now handles non-unique columns and returns columns in original order (except0 码力 | 1557 页 | 9.10 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.17.0Backwards incompatible API changes – Changes to sorting API – Changes to to_datetime and to_timedelta * Error handling * Consistent Parsing – Changes to Index Comparisons – Changes to Boolean Comparisons vs reduce=True (GH8735). • Allow passing kwargs to the interpolation methods (GH10378). • Improved error message when concatenating an empty iterable of Dataframe objects (GH9157) • pd.read_csv can now order() Categorical.sort_values() Changes to to_datetime and to_timedelta Error handling The default for pd.to_datetime error handling has changed to errors=’raise’. In prior versions it was errors=’ignore’0 码力 | 1787 页 | 10.76 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.21.1PeriodIndex resampling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 1.2.2.8 Improved error handling during item assignment in pd.eval . . . . . . . . . . . . . 21 1.2.2.9 Dtype Conversions read_csv exceptions . . . . . . . . . . . . . . . . . . . . . . . . . . 133 1.9.3.5 to_datetime error changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134 1.9.3.6 Other API changes . Multiple Axes . . . . . . . . . . . . . . . . . . . . . . . . . . 999 xix 22.5.10 Plotting With Error Bars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1002 22.5.11 Plotting0 码力 | 2207 页 | 8.59 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.3read_csv exceptions . . . . . . . . . . . . . . . . . . . . . . . . . . 104 1.7.3.5 to_datetime error changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 1.7.3.6 Other API changes . Targeting Multiple Axes . . . . . . . . . . . . . . . . . . . . . . . . . . 966 22.5.8 Plotting With Error Bars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 969 22.5.9 Plotting Quoting, Compression, and File Format . . . . . . . . . . . . . . . . . . . . . . . 997 24.1.1.8 Error Handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 998 24.1.2 Specifying0 码力 | 2045 页 | 9.18 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.1read_csv exceptions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 to_datetime error changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 Other API changes Targeting Multiple Axes . . . . . . . . . . . . . . . . . . . . . . . . . . 880 23.5.7 Plotting With Error Bars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 883 23.5.8 Plotting Quoting, Compression, and File Format . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 901 Error Handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9010 码力 | 1943 页 | 12.06 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.0read_csv exceptions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 to_datetime error changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 Other API changes Targeting Multiple Axes . . . . . . . . . . . . . . . . . . . . . . . . . . 878 23.5.7 Plotting With Error Bars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 881 23.5.8 Plotting Quoting, Compression, and File Format . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 899 Error Handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8990 码力 | 1937 页 | 12.03 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.2read_csv exceptions . . . . . . . . . . . . . . . . . . . . . . . . . . 102 1.6.3.5 to_datetime error changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 1.6.3.6 Other API changes . Targeting Multiple Axes . . . . . . . . . . . . . . . . . . . . . . . . . . 961 22.5.8 Plotting With Error Bars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 964 22.5.9 Plotting Quoting, Compression, and File Format . . . . . . . . . . . . . . . . . . . . . . . 993 24.1.1.8 Error Handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 994 24.1.2 Specifying0 码力 | 1907 页 | 7.83 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.3You can obtain these directories with: import sys sys.path One way you could be encountering this error is if you have multiple Python installations on your system and you don’t have pandas installed in Product of values std Bessel-corrected sample standard deviation var Unbiased variance sem Standard error of the mean skew Sample skewness (3rd moment) kurt Sample kurtosis (4th moment) quantile Sample include a column/index label, it isn’t renamed. Note that extra labels in the mapping don’t throw an error. DataFrame.rename() also supports an “axis-style” calling convention, where you specify a single0 码力 | 3603 页 | 14.65 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.4You can obtain these directories with: import sys sys.path One way you could be encountering this error is if you have multiple Python installations on your system and you don’t have pandas installed in Product of values std Bessel-corrected sample standard deviation var Unbiased variance sem Standard error of the mean skew Sample skewness (3rd moment) kurt Sample kurtosis (4th moment) quantile Sample include a column/index label, it isn’t renamed. Note that extra labels in the mapping don’t throw an error. DataFrame.rename() also supports an “axis-style” calling convention, where you specify a single0 码力 | 3605 页 | 14.68 MB | 1 年前3
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