. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 2.6 Installing from source . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 2.7 Pandas Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 3.3 Migrating from scikits.timeseries to pandas >= 0.8.0 . . . . . . . . . . . . . . . . . . . . . . . . . . 70 3.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 426 21.6 Parsing Dates from Text Files . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 426 21.7 Differences

recommended installation method for most users. Instructions for installing from source, PyPI, ActivePython, various Linux distributions, or a development version are also provided. 2.1 Python version packages that make up the SciPy stack (IPython, NumPy, Matplotlib, ) is with Anaconda, a cross-platform (Linux, Mac OS X, Windows) Python distribution for data analytics and scientific computing. After running allows you to specify a specific version of Python and set of libraries. Run the following commands from a terminal window: conda create -n name_of_my_env python This will create a minimal environment

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 2.6 Installing from source . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 2 Pandas Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 3.3 Migrating from scikits.timeseries to pandas >= 0.8.0 . . . . . . . . . . . . . . . . . . . . . . . . . . 102 3.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 557 23.7 Parsing Dates from Text Files . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 557 23.8 Differences

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 2.6 Installing from source . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128 2 Pandas Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 3.3 Migrating from scikits.timeseries to pandas >= 0.8.0 . . . . . . . . . . . . . . . . . . . . . . . . . . 130 3.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 617 23.7 Parsing Dates from Text Files . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 617 23.8 Differences

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1 can be installed with Anaconda or Miniconda: conda install pandas pandas can be installed via pip from PyPI. pip install pandas Learn more 1.2 Intro to pandas Straight to tutorial... When working many file formats or data sources out of the box (csv, excel, sql, json, parquet,...). Importing data from each of these data sources is provided by function with the prefix read_*. Similarly, the to_* methods

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1 can be installed with Anaconda or Miniconda: conda install pandas pandas can be installed via pip from PyPI. pip install pandas Learn more 1.2 Intro to pandas Straight to tutorial... When working many file formats or data sources out of the box (csv, excel, sql, json, parquet,...). Importing data from each of these data sources is provided by function with the prefix read_*. Similarly, the to_* methods

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1 pandas Prefer pip? pandas can be installed via pip from PyPI. pip install pandas In-depth instructions? Installing a specific version? Installing from source? Check the advanced installation page. Learn many file formats or data sources out of the box (csv, excel, sql, json, parquet,...). Importing data from each of these data sources is provided by function with the prefix read_*. Similarly, the to_* methods

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1 pandas Prefer pip? pandas can be installed via pip from PyPI. pip install pandas In-depth instructions? Installing a specific version? Installing from source? Check the advanced installation page. Learn many file formats or data sources out of the box (csv, excel, sql, json, parquet,...). Importing data from each of these data sources is provided by function with the prefix read_*. Similarly, the to_* methods

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1 pandas Prefer pip? pandas can be installed via pip from PyPI. pip install pandas In-depth instructions? Installing a specific version? Installing from source? Check the advanced installation page. Learn many file formats or data sources out of the box (csv, excel, sql, json, parquet,...). Importing data from each of these data sources is provided by function with the prefix read_*. Similarly, the to_* methods

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1 can be installed with Anaconda or Miniconda: conda install pandas Pandas can be installed via pip from PyPI. pip install pandas Learn more 1.2 Intro to pandas Straight to tutorial... When working many file formats or data sources out of the box (csv, excel, sql, json, parquet,...). Importing data from each of these data sources is provided by function with the prefix read_*. Similarly, the to_* methods