pandas: powerful Python data analysis toolkit - 0.25sqlite SciPy 0.19.0 Miscellaneous statistical functions XLsxWriter 0.9.8 Excel writing blosc Compression for msgpack fastparquet 0.2.1 Parquet reading / writing gcsfs 0.2.2 Google Cloud Storage access on linux xlrd 1.1.0 Excel reading xlwt 1.2.0 Excel writing xsel Clipboard I/O on linux zlib Compression for msgpack Optional dependencies for parsing HTML One of the following combinations of libraries is a sample (using 100 column x 100,000 row DataFrames): Operation 0.11.0 (ms) Prior Version (ms) Ratio to Prior df1 > df2 13.32 125.35 0.1063 df1 * df2 21.71 36.63 0.5928 df1 + df2 22.04 36.50 0.60390 码力 | 698 页 | 4.91 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.1sqlite SciPy 0.19.0 Miscellaneous statistical functions XLsxWriter 0.9.8 Excel writing blosc Compression for HDF5 fsspec 0.7.4 Handling files aside from local and HTTP fastparquet 0.3.2 Parquet reading on linux xlrd 1.1.0 Excel reading xlwt 1.2.0 Excel writing xsel Clipboard I/O on linux zlib Compression for HDF5 1.4. Tutorials 9 pandas: powerful Python data analysis toolkit, Release 1.1.1 Optional iterate each of the rows! I want to check the ratio of the values in Paris versus Antwerp and save the result in a new column In [6]: air_quality["ratio_paris_antwerp"] = \ ...: air_quality["station_paris"]0 码力 | 3231 页 | 10.87 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.0sqlite SciPy 0.19.0 Miscellaneous statistical functions XLsxWriter 0.9.8 Excel writing blosc Compression for HDF5 fsspec 0.7.4 Handling files aside from local and HTTP fastparquet 0.3.2 Parquet reading on linux xlrd 1.1.0 Excel reading xlwt 1.2.0 Excel writing xsel Clipboard I/O on linux zlib Compression for HDF5 1.4. Tutorials 9 pandas: powerful Python data analysis toolkit, Release 1.1.0 Optional iterate each of the rows! I want to check the ratio of the values in Paris versus Antwerp and save the result in a new column In [6]: air_quality["ratio_paris_antwerp"] = \ ...: air_quality["station_paris"]0 码力 | 3229 页 | 10.87 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0sqlite SciPy 0.19.0 Miscellaneous statistical functions XLsxWriter 0.9.8 Excel writing blosc Compression for HDF5 fastparquet 0.3.2 Parquet reading / writing continues on next page 8 Chapter 1. Getting on linux xlrd 1.1.0 Excel reading xlwt 1.2.0 Excel writing xsel Clipboard I/O on linux zlib Compression for HDF5 Optional dependencies for parsing HTML One of the following combinations of libraries iterate each of the rows! I want to check the ratio of the values in Paris versus Antwerp and save the result in a new column In [6]: air_quality["ratio_paris_antwerp"] = \ ...: air_quality["station_paris"]0 码力 | 3091 页 | 10.16 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0.4sqlite SciPy 0.19.0 Miscellaneous statistical functions XLsxWriter 0.9.8 Excel writing blosc Compression for HDF5 fastparquet 0.3.2 Parquet reading / writing continues on next page 8 Chapter 1. Getting on linux xlrd 1.1.0 Excel reading xlwt 1.2.0 Excel writing xsel Clipboard I/O on linux zlib Compression for HDF5 Optional dependencies for parsing HTML One of the following combinations of libraries iterate each of the rows! I want to check the ratio of the values in Paris versus Antwerp and save the result in a new column In [6]: air_quality["ratio_paris_antwerp"] = \ ...: air_quality["station_paris"]0 码力 | 3081 页 | 10.24 MB | 1 年前3
pandas: powerful Python data analysis toolkit -1.0.3sqlite SciPy 0.19.0 Miscellaneous statistical functions XLsxWriter 0.9.8 Excel writing blosc Compression for HDF5 fastparquet 0.3.2 Parquet reading / writing Continued on next page 10 Chapter 2. Getting on linux xlrd 1.1.0 Excel reading xlwt 1.2.0 Excel writing xsel Clipboard I/O on linux zlib Compression for HDF5 Optional dependencies for parsing HTML One of the following combinations of libraries iterate each of the rows! I want to check the ratio of the values in Paris versus Antwerp and save the result in a new column In [6]: air_quality["ratio_paris_antwerp"] = \ ...: air_quality["station_paris"]0 码力 | 3071 页 | 10.10 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.3Minimum Version Notes PyTables 3.5.1 HDF5-based reading / writing blosc 1.17.0 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 0.17.0 Parquet, ORC iterate each of the rows! I want to check the ratio of the values in Paris versus Antwerp and save the result in a new column In [6]: air_quality["ratio_paris_antwerp"] = ( ...: air_quality["station_paris"] air_quality.head() Out[7]: station_antwerp station_paris station_london london_mg_per_cubic␣ ˓→ ratio_paris_antwerp datetime ␣ ˓→ 2019-05-07 02:00:00 NaN NaN 23.0 43.286␣ ˓→ NaN 2019-05-07 03:00:000 码力 | 3603 页 | 14.65 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.4Minimum Version Notes PyTables 3.5.1 HDF5-based reading / writing blosc 1.17.0 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 0.17.0 Parquet, ORC iterate each of the rows! I want to check the ratio of the values in Paris versus Antwerp and save the result in a new column In [6]: air_quality["ratio_paris_antwerp"] = ( ...: air_quality["station_paris"] air_quality.head() Out[7]: station_antwerp station_paris station_london london_mg_per_cubic␣ ˓→ ratio_paris_antwerp datetime ␣ ˓→ 2019-05-07 02:00:00 NaN NaN 23.0 43.286␣ ˓→ NaN 2019-05-07 03:00:000 码力 | 3605 页 | 14.68 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.2Minimum Version Notes PyTables 3.5.1 HDF5-based reading / writing blosc 1.17.0 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 0.17.0 Parquet, ORC iterate each of the rows! I want to check the ratio of the values in Paris versus Antwerp and save the result in a new column In [6]: air_quality["ratio_paris_antwerp"] = ( ...: air_quality["station_paris"] from previous page) Out[7]: station_antwerp station_paris station_london london_mg_per_ ˓→cubic ratio_paris_antwerp datetime ˓→ 2019-05-07 02:00:00 NaN NaN 23.0 43. ˓→286 NaN 2019-05-07 03:00:00 500 码力 | 3509 页 | 14.01 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.2.3SciPy 1.12.0 Miscellaneous statistical functions xlsxwriter 1.0.2 Excel writing blosc 1.17.0 Compression for HDF5 fsspec 0.7.4 Handling files aside from local and HTTP fastparquet 0.4.0 Parquet reading on linux xlrd 1.2.0 Excel reading xlwt 1.3.0 Excel writing xsel Clipboard I/O on linux zlib Compression for HDF5 Optional dependencies for parsing HTML One of the following combinations of libraries iterate each of the rows! I want to check the ratio of the values in Paris versus Antwerp and save the result in a new column In [6]: air_quality["ratio_paris_antwerp"] = ( ...: air_quality["station_paris"]0 码力 | 3323 页 | 12.74 MB | 1 年前3
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