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denstatbank-0.8.0
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مشاهده بیشترتوضیحات
A Python API wrapper to Statistics Denmark's DataBank API
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | denstatbank-0.8.0 |
| نام | denstatbank |
| نسخه کتابخانه | 0.8.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | Gopakumar Mohandas <gopakumarmohandas@gmail.com> |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/denstatbank/ |
| مجوز | - |
# denstatbank
A python wrapper to Statistics Denmark's Databank API.
The package allows you to easily gather and analyse data on a variety of
topics made available by [Statistics Denmark](https://www.dst.dk/en).
The package provides a simple interface for professional statisticians,
academics, policymakers, students, journalists and anyone interested in
quantitative facts about Denmark.
### Installation
The package is listed on pypi - the python package index, and
can be installed with pip as:
```
pip install --upgrade denstatbank
```
### Usage
#### A walkthrough example
Let us walkthrough a quick example of how to query for data on a specific
topic. The first step is to instantiate the client. This is easily done with
the following two lines of code.
```
>>> from denstatbank import StatBankClient
>>> sbc = StatBankClient(lang='en')
```
Now, let's find a table to get data from the databank. The tables method provides
a list of all tables containing data currently available in the databank.
Let's take a look at the first table.
```
>>> tdf = sbc.tables()
>>> tdf.iloc[0]
id FOLK1A
text Population at the first day of the quarter
unit number
updated 2020-02-11T08:00:00
firstPeriod 2008Q1
latestPeriod 2020Q1
active True
variables [region, sex, age, marital status, time]
```
All data tables have values associated with certain variables specific
to the table. The population table that we shall look at has five such
variables with the names you see above.
The variables themselves have a list of valid values. One quick way of
finding acceptable values for the variables is by using the tableinfo
method as follows:
```
>>> vdf = sbc.tableinfo('folk1a', variables_df=True)
>>> years = vdf[vdf['variable']=='time']['id'].tolist()
```
We have now extracted the list of all acceptable values for the variable 'time'.
Now, we need to put this inside a dictionary where the dictionary key
is the variable name (in Danish, so 'time' becomes 'tid').
The client has a method called `variable_dict()` which does this for you.
```
>>> tid = sbc.variable_dict(code='tid', values=years)
```
Finally, we query the data by passing the table id and the variables
dictionary as a keyword arguments. The dictionary must be placed inside
a list as the method can accept more than one variables dictionary.
```
>>> df = sbc.data(table_id='folk1a', variables=[tid])
>>> df.head()
Population at the first day of the quarter by Indhold and time
tid
2008Q1 5475791
2008Q2 5482266
2008Q3 5489022
2008Q4 5505995
2009Q1 5511451
```
And there we have the population data. Let us quickly plot it to get a feel
for the data.
```
>>> df.plot(style='o-', figsize=(10, 6))
```
<img src="folk1a.jpg" width="600">
denstatbank uses the pandas python library to facilitate the handling of
data. Pandas is a fast, popular and powerful library used for data analysis and
manipulation. It is therefore well suited to be used with this package.
There are plenty of resources available to learn from if you are new to pandas.
I would highly recommend this [book](https://wesmckinney.com/pages/book.html)
by the creator of the pandas himself.
### Documentation
The detailed package documentation can be found [here](https://denstatbank.readthedocs.io/en/latest/).
The official Databank API documentation can be found [here](https://www.dst.dk/en/Statistik/statistikbanken/api).
### To do
Examples demonstrating basic statistical analysis of data
نیازمندی
| مقدار | نام |
|---|---|
| - | pandas |
| - | pytest |
| - | requests |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl denstatbank-0.8.0:
pip install denstatbank-0.8.0.whl
نصب پکیج tar.gz denstatbank-0.8.0:
pip install denstatbank-0.8.0.tar.gz