(CSV and delimited), Excel files, databases,Īnd saving/loading data from the ultrafast HDF5 format Robust IO tools for loading data from flat files. Hierarchical labeling of axes (possible to have multiple.Split-apply-combine operations on data sets, for both aggregatingĭifferently-indexed data in other Python and NumPy data structures Powerful, flexible group by functionality to perform.Ignore the labels and let Series, DataFrame, etc. Automatic and explicit data alignment: objects canīe explicitly aligned to a set of labels, or the user can simply.Size mutability: columns can be inserted andĭeleted from DataFrame and higher dimensional.NaN, NA, or NaT) in floating point as well as non-floating point data Easy handling of missing data (represented as.Here are just a few of the things that pandas does well: The broader goal of becoming the most powerful and flexible open source dataĪnalysis / manipulation tool available in any language. It aims to be the fundamental high-level building block forĭoing practical, real world data analysis in Python. Structures designed to make working with "relational" or "labeled" data bothĮasy and intuitive. Pandas is a Python package that provides fast, flexible, and expressive data IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES LOSS OF USE, DATA, OR PROFITS OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.Pandas: powerful Python data analysis toolkit ** THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. HST files that can be converted by the app, In exchange history file, which is used in such as MetaQuotesSoftware inc's MT4 (Meta Trader 4), it is compatible with the format of the version 400 or 401.ĬSV text file that is convert from HST will be able to select a tab or comma separator.
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