pandas: powerful Python data analysis toolkit - 0.20.3pandas.errors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 1.3.3.3 pandas.testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 1.3.3.4 pandas.plotting . Backwards Compatibility . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386 3.5.2 Testing With Continuous Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386 3.5 matches in each subject (extractall) . . . . . . . . . . . . . . . . . . . . . . . . . 565 10.4 Testing for Strings that Match or Contain a Pattern . . . . . . . . . . . . . . . . . . . . . . . . . .0 码力 | 2045 页 | 9.18 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.2pandas.errors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 1.2.3.3 pandas.testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 1.2.3.4 pandas.plotting . Backwards Compatibility . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384 3.5.2 Testing With Continuous Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384 3.5 matches in each subject (extractall) . . . . . . . . . . . . . . . . . . . . . . . . . 563 10.4 Testing for Strings that Match or Contain a Pattern . . . . . . . . . . . . . . . . . . . . . . . . . .0 码力 | 1907 页 | 7.83 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.21.1pandas.errors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 1.5.3.3 pandas.testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 1.5.3.4 pandas.plotting . Backwards Compatibility . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 414 3.5.2 Testing With Continuous Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 414 3.5 matches in each subject (extractall) . . . . . . . . . . . . . . . . . . . . . . . . . 592 10.4 Testing for Strings that Match or Contain a Pattern . . . . . . . . . . . . . . . . . . . . . . . . . .0 码力 | 2207 页 | 8.59 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0.0parameter. Supplying anything else than how to **kwargs raised a TypeError previously (GH29388) • When testing pandas, the new minimum required version of pytest is 5.0.1 (GH29664) • Series.str.__iter__() was of a DeprecationWarning (GH26581) • The pandas.util.testing module has been deprecated. Use the public API in pandas.testing documented at Testing functions (GH16232). • pandas.SparseArray has been deprecated DataFrame.apply() (GH18577) • Removed the previously deprecated assert_raises_regex function in pandas._testing (GH29174) • Removed the previously deprecated FrozenNDArray class in pandas.core.indexes.frozen0 码力 | 3015 页 | 10.78 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.25.0integer (GH27042) • 1.6.11 MultiIndex • Bug in which incorrect exception raised by Timedelta when testing the membership of MultiIndex (GH24570) • 1.6.12 I/O • Bug in DataFrame.to_html() where values np.nan Out[59]: False So, NDFrames (such as Series and DataFrames) have an equals() method for testing equality, with NaNs in corre- sponding locations treated as equal. In [60]: (df + df).equals(df columns. Specifying non-consecutive rows will skip the intervening rows. In [175]: from pandas.util.testing import makeCustomDataframe as mkdf In [176]: df = mkdf(5, 3, r_idx_nlevels=2, c_idx_nlevels=4)0 码力 | 2827 页 | 9.62 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.25.1integer (GH27042) • 1.6.11 MultiIndex • Bug in which incorrect exception raised by Timedelta when testing the membership of MultiIndex (GH24570) • 1.6.12 I/O • Bug in DataFrame.to_html() where values np.nan Out[59]: False So, NDFrames (such as Series and DataFrames) have an equals() method for testing equality, with NaNs in corre- sponding locations treated as equal. In [60]: (df + df).equals(df columns. Specifying non-consecutive rows will skip the intervening rows. In [175]: from pandas.util.testing import makeCustomDataframe as mkdf In [176]: df = mkdf(5, 3, r_idx_nlevels=2, c_idx_nlevels=4)0 码力 | 2833 页 | 9.65 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.1substrings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 514 2.9.7 Testing for strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 518 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1007 3.2.8 Testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1008 3 options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2347 3.15.2 Testing functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2361 30 码力 | 3231 页 | 10.87 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.0substrings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 514 2.9.7 Testing for strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 518 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1007 3.2.8 Testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1008 3 options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2347 3.15.2 Testing functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2361 30 码力 | 3229 页 | 10.87 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0substrings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 506 2.6.7 Testing for Strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 510 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 986 3.2.8 Testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 987 v options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2255 3.15.2 Testing functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2269 30 码力 | 3091 页 | 10.16 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0.4substrings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 505 2.6.7 Testing for Strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 509 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 990 3.2.8 Testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 991 v options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2252 3.15.2 Testing functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2266 30 码力 | 3081 页 | 10.24 MB | 1 年前3
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