Thank you for stopping by. Google Reader has been discontinued. We want to thank all our loyal fans. We understand you may not agree with this decision. Piedra Turmalina Negra Donde Comprar Viagra discount. Dba 2 Csv Palm2Google Copy Palm Calendars from Palm Desktop to Google, Outlook and nearly anywhere else. Numark Mixtrack Pro 2 Virtual Dj Skin Free. Machines Online is a convenient, reliable and easy to use website designed to link Buyers with Sellers of new and used Machinery and equipment. Windows Activation Code Product Key. SysTools-WAB-Converter-2.0.jpg' alt='Csv To Ical Converter Free' title='Csv To Ical Converter Free' />Whats New pandas 0. These are new features and improvements of note in each release. October 2. 7, 2. 01. This is a major release from 0. API changes, deprecations, new features. We recommend that all. Highlights include Integration with Apache Parquet, including a new top level readparquet function and Data. Frame. toparquet method, see here. New user facing pandas. Categorical. Dtype for specifying. The behavior of sum and prod on all Na. N SeriesData. Frames is now consistent and no longer depends on whether bottleneck is installed, see here. Compatibility fixes for pypy, see here. Additions to the drop, reindex and rename API to make them more consistent, see here. Addition of the new methods Data. Frame. inferobjects see here and Group. By. pipe see here. Indexing with a list of labels, where one or more of the labels is missing, is deprecated and will raise a Key. Error in a future version, see here. Check the API Changes and deprecations before updating. New featuresinferobjects type conversionThe Data. Frame. inferobjects and Series. See the documentation here. GH1. 12. 21This method only performs soft conversions on object columns, converting Python objects. For example In 1 dfpd. Data. FrameA 1,2,3,. B np. C 1,2,3. In 2 df. Out2 A int. 64. B object. C objectdtype object. In 3 df. inferobjects. Out3 A int. 64. B int. C objectdtype object. Note that column C was not converted only scalar numeric types. Other types of conversion should be accomplished. In 4 dfdf. inferobjectsIn 5 dfCpd. C,errorscoerceIn 6 df. Out6 A int. 64. B int. C int. Improved warnings when attempting to create columnsNew users are often puzzled by the relationship between column operations and. Data. Frame instances GH7. One specific. instance of this confusion is attempting to create a new column by setting an. Data. Frame In1 dfpd. Data. Frameone 1. In2 df. This does not raise any obvious exceptions, but also does not create a new column In3 df. Out3 one. 01. 0. Setting a list like data structure into a new attribute now raises a User. Warning about the potential for unexpected behavior. See Attribute Access. The drop method has gained indexcolumns keywords as an. This is similar to the behavior of reindex. GH1. 23. 92. For example In 7 dfpd. Data. Framenp. arange8. A,B,C,D. In 8 df. Out8 A B C D0 0 1 2 3. In 9 df. dropB,C,axis1 Out9 A D0 0 3. In 1. 0 df. dropcolumnsB,C Out1. A D0 0 3. 1 4 7rename, reindex now also accept axis keywordThe Data. Frame. rename and Data. Frame. reindex methods have gained. GH1. 23. 92. Heres rename In 1. Data. FrameA 1,2,3,B 4,5,6In 1. Out1. 2 a b. 0 1 4. In 1. 3 df. renameid,axisindex Out1. A B4. 45. 31. 53. And reindex In 1. A,B,C,axiscolumnsOut1. A B C0 1 4 Na. N1 2 5 Na. N2 3 6 Na. NIn 1. Out1. 5 A B0 1. Na. N Na. NThe index, columns style continues to work as before. In 1. 6 df. renameindexid,columnsstr. Out1. 6 a b. In 1. A,B,C Out1. A B C0 1. Na. N1 2. 0 5. 0 Na. N3 Na. N Na. N Na. NWe highly encourage using named arguments to avoid confusion when using either. Categorical. Dtype for specifying categoricalspandas. Categorical. Dtype has been added to the public API and. A. Categorical. Dtype can be used to specify the set of categories and. This can be useful for example. Categorical GH1. GH1. GH1. GH1. 76. 43 In 1. Categorical. Dtype. In 1. 9 spd. Seriesa,b,c,a strings. In 2. 0 dtypeCategorical. Dtypecategoriesa,b,c,d,orderedTrueIn 2. Out2. 1 0 a. 1 b. Categories 4, object a lt b lt c lt dOne place that deserves special mention is in readcsv. Previously, with. In 2. 2 dataA,Bna,1nb,2nc,3In 2. String. IOdata,dtypeB category. B. cat. categories. Out2. 3 Index1, 2, 3, dtypeobjectNotice the object dtype. With a Categorical. Dtype of all numerics, datetimes, or. In 2. 4 dtypeB Categorical. Dtype1,2,3In 2. String. IOdata,dtypedtype. B. cat. categories. Out2. 5 Int. 64. Index1, 2, 3, dtypeint. The values have been correctly interpreted as integers. The. dtype property of a Categorical, Categorical. Index or a. Series with categorical type will now return an instance of. Categorical. Dtype. While the repr has changed, strCategorical. Dtype is. still the string category. Warship Gunner 2 on this page. Well take this moment to remind users that the. See the Categorical. Dtype docs for more. Group. By objects now have a pipe methodGroup. By objects now have a pipe method, similar to the one on. Data. Frame and Series, that allow for functions that take a. Group. By to be composed in a clean, readable syntax. GH1. 78. 71For a concrete example on combining. Data. Frame with columns for stores, products, revenue and sold quantity. Wed like to. do a groupwise calculation of prices i. We could do this in a multi step operation, but expressing it in terms of piping can make the. First we set the data In 2. In 2. 7 n1. 00. In 2. Data. FrameStore np. Store1,Store2,n,. Product np. Product1,Product2,Product3,n,. Revenue np. Quantity np. In 2. 9 df. head2Out2. Product Quantity Revenue Store. Product3 1 1. Store2. Product2 8 4. Store1. Now, to find prices per storeproduct, we can simply do In 3. Store,Product. Revenue. Quantity. sum. Out3. Product Product1 Product2 Product3. Store Store1 7. Store2 7. See the documentation for more. Categorical. renamecategories accepts a dict likerenamecategories now accepts a dict like argument for. The previous categories are looked up in the dictionarys. The behavior of missing and extra keys is the same. Data. Frame. rename. In 3. 1 cpd. Categoricala,a,bIn 3. Out3. 2 eh, eh, beeCategories 2, object eh, beeWarning. To assist with upgrading pandas, renamecategories treats Series as. Typically, Series are considered to be dict like e. In a future version of pandas renamecategories. Follow the warning messages. In 3. 3 c. renamecategoriespd. Series0,1,indexa,cFuture. Warning Treating Series newcategories as a list like and using the values. In a future version, renamecategories will treat Series like a dictionary. For dict like, use newcategories. For list like, use newcategories. Out3. 3 0, 0, 1Categories 2, int. Other EnhancementsNew functions or methodsVarious enhancementsImproved the import time of pandas by about 2. GH1. 67. 64Support for PEP 5. Adding a file system path protocol on most readers e. Data. Frame. tocsv GH1. Added a fspath method to pd. HDFStore, pd. Excel. File. and pd. Excel. Writer to work properly with the file system path protocol GH1. The validate argument for merge now checks whether a merge is one to one, one to many, many to one, or many to many. If a merge is found to not be an example of specified merge type, an exception of type Merge. Error will be raised. For more, see here GH1. Added support for PEP 5. GH1. 67. 45Range. Index. append now returns a Range. Index object when possible GH1.