Ka la 9 Pherekhong, Pandas 1.0.0rc e ile ea lokolloa. Mofuta o fetileng oa laebrari ke 0.25.

Tokollo ea pele e kholo e na le likarolo tse ngata tse ncha tse ncha, ho kenyelletsa kakaretso e ntlafalitsoeng ea dataframe, lifomate tse ngata tsa tlhahiso, mefuta e mecha ea data, esita le sebaka se secha sa litokomane.

Liphetoho tsohle li ka bonoa mona, sehloohong sena re tla ipehela ho tlhahlobo e nyenyane, e fokolang ea botekgeniki ea lintho tsa bohlokoa ka ho fetisisa.

U ka kenya laebrari joalo ka tloaelo u sebelisa pip, empa ho tloha ka nako ea ho ngola Pandas 1.0 e ntse e le teng mokhethoa ea lokollang, o tla hloka ho hlakisa mofuta ona:

pip install --upgrade pandas==1.0.0rc0

Ela hloko: kaha ena ke tokollo e kholo, ntlafatso e ka senya khoutu ea khale!

Ka tsela, ts'ehetso ea Python 2 e khaotsoe ka botlalo ho tloha phetolelong ena (seo e ka bang lebaka le letle nchafatsa - hoo e ka bang. phetolelo). Pandas 1.0 e hloka bonyane Python 3.6+, kahoo haeba u sa tsebe hantle, hlahloba hore na u kentse efe:

$ pip --version
pip 19.3.1 from /usr/local/lib/python3.7/site-packages/pip (python 3.7)

$ python --version
Python 3.7.5

Mokhoa o bonolo oa ho lekola mofuta oa Pandas ke ona:

>>> import pandas as pd
>>> pd.__version__
1.0.0rc0

Kakaretso e ntlafalitsoeng ea othomathike ka DataFrame.info

Ntho eo ke e ratang ka ho fetisisa e ne e le ho ntlafatsa mokhoa ona DataFrame.info. Ts'ebetso e se e ka baloa haholoanyane, e etsa hore mokhoa oa ho hlahloba data o be bonolo le ho feta:

>>> df = pd.DataFrame({
...:   'A': [1,2,3], 
...:   'B': ["goodbye", "cruel", "world"], 
...:   'C': [False, True, False]
...:})
>>> df.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 3 entries, 0 to 2
Data columns (total 3 columns):
 #   Column  Non-Null Count  Dtype
---  ------  --------------  -----
 0   A       3 non-null      int64
 1   B       3 non-null      object
 2   C       3 non-null      object
dtypes: int64(1), object(2)
memory usage: 200.0+ bytes

Ho hlahisa litafole ka mokhoa oa Markdown

Boqapi bo monate ka ho tšoanang ke bokhoni ba ho romella li-dataframes ho litafole tsa Markdown u sebelisa DataFrame.to_markdown.

>>> df.to_markdown()
|    |   A | B       | C     |
|---:|----:|:--------|:------|
|  0 |   1 | goodbye | False |
|  1 |   2 | cruel   | True  |
|  2 |   3 | world   | False |

Sena se etsa hore ho be bonolo haholo ho phatlalatsa litafole libakeng tse kang Medium ho sebelisa github gists.

Mefuta e mecha ea likhoele le li-booleans

Tokollo ea Pandas 1.0 e boetse e ekelitse e ncha tekolo mefuta. API ea bona e ntse e ka fetoha, kahoo e sebelise ka hloko. Empa ka kakaretso, Pandas e khothaletsa ho sebelisa mefuta e mecha hohle moo ho utloahalang.

Ho fihlela joale, mokhoa ona o lokela ho etsoa ka hloko:

>>> B = pd.Series(["goodbye", "cruel", "world"], dtype="string")
>>> C = pd.Series([False, True, False], dtype="bool")
>>> df.B = B, df.C = C
>>> df.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 3 entries, 0 to 2
Data columns (total 3 columns):
 #   Column  Non-Null Count  Dtype
---  ------  --------------  -----
 0   A       3 non-null      int64
 1   B       3 non-null      string
 2   C       3 non-null      bool
dtypes: int64(1), object(1), string(1)
memory usage: 200.0+ bytes

Hlokomela kamoo kholomo Dtype e hlahisa mefuta e mecha − Khoele и bool.

Ntho ea bohlokoa ka ho fetisisa ea mofuta o mocha oa khoele ke bokhoni ba ho khetha litšiea tsa mela feela ho tsoa ho li-dataframes. Sena se ka nolofaletsa ho fetisa lintlha tsa mongolo:

df.select_dtypes("string")

Nakong e fetileng, mela e ne e sa khone ho khethoa ntle le ho hlalosa mabitso ka ho hlaka.

U ka bala ho eketsehileng ka mefuta e mecha mona.

Kea leboha ha u bala! Lethathamo le felletseng la liphetoho, joalo ka ha ho boletsoe, le ka bonoa mona.

Source: www.habr.com