tjbtjbtjb / cocoa Goto Github PK

on ne fait pas de distinguo entre France et DOMTOM. Du coup tout est centré sur la France metropolitaine ...

g.to_standard(['spain','FRA'],output='dict')

gives {} as output.

Moreover, with g.to_standard('European Union',output='dict',interpret_region=True) , the output dict keys are first letters of input.

iaits…

Should think about requests-cache. But need to configure properly to deal with fast changing data or not…

For example CrystalFig should be crystal_fig or DefFigInteractive should be def_fig_interactive

For example, 'world' is not recognized. Whereas 'World' is.
For countries, nevertheless, it works. This should be fixed for homogenization.

See for example screen shot. The right number exponent cannot be read.

Front-end cocoa.py 'get' function gives a pandas with location column; should be 'where'

There's a lack of docstring in covid19, especially explaining the kwargs in those function.

As an example csv_to_pandas_index_location_date(), pandas_index_location_date_to_jhu_format().
Or even get_stats() where no docstring at all is given.

See screenshot with

cc.map(where=['americas'],what='cumul',which='confirmed')

for example.

For the same argument, it's called :

• 'location' in covid19.py and 'where' in cocoa.py
• 'type' in covid19.py and 'what' in cocoa.py
• ... ?
  That's disturbing

See screenshot. Got a KeyError. Not even a CocoaKeyError meaning that this error is not managed by the cocoa framework.

from cocoa import world as cw

ImportError Traceback (most recent call last)
in
----> 1 from cocoa import world as cw

ImportError: cannot import name 'world' from 'cocoa' (../cocoa/init.py)

This is a Brexit stuff ?? :-)
/Users/dadoun/Programs/Python/CoCoA/cocoa/geo.py:171: UserWarning: Caution. More than one country match the key "UK" : ['Ukraine, ', 'Latvia, ', 'Uganda, ', 'Albania, ', 'Japan, ', 'Thailand, ', 'Tuvalu, ', 'Indonesia, ', 'Canada, ', 'Croatia, ', 'Philippines, ', 'Slovenia, ', 'Tanzania, United Republic of, ', 'Algeria, ', "Korea, Democratic People's Republic of, ", 'Korea, Republic of, ', 'Russian Federation, ', 'Bhutan, ', 'Micronesia, Federated States of, ', 'Iraq, ', 'Marshall Islands, ', 'Saudi Arabia, ', 'Dominica, ', 'Egypt, ', 'Cambodia, ', 'Morocco, ', 'Turkey, '], using first one.

', using first one.\n')

e.g. cc.get(where=['european union','eastern europe'])
or even
cc.get(where=['france','france'])

Il appears 4 significative numbers in the Y axis. A bit to much. Cannot it be reduced to, let say 2 ?

using the front end cc.plot reload all the time the database and this is not needed (wasting time). This due to the fact that we don't to use constructor ...

e.g. with cc.plot(where=['FR','Italy'],which='confirmed',what='diff')

See screenhost.

Moreover, what keywords should be cleaned up.

Here JHU countries where there are no geometries
Are you aware of that ?
location geometry
3 Andorra None
7 Antigua and Barbuda None
17 Bahrain None
24 Barbados None
38 Comoros None
39 Cabo Verde None
46 Dominica None
69 Grenada None
91 Saint Kitts and Nevis None
98 Saint Lucia None
99 Liechtenstein None
106 Monaco None
109 Maldives None
111 Marshall Islands None
120 Mauritius None
148 Singapore None
152 San Marino None
156 Sao Tome and Principe None
162 Seychelles None
178 Holy See (Vatican City State) None
179 Saint Vincent and the Grenadines None

and we need to start this next release ...

Provide better default plots from the frontend. And push them to the README.

Currently, there's 2 lines of unnecessary output

AITS...

See examle attached.

Consider the piece of code :

import cocoa.covid19 as co
jhu =  co.DataBase('jhu')
pd=jhu.get_stats(which='confirmed',type='Cumul',location='FRA',output='pandas')
pd.head()

We got the error output below. What's the trouble with the syntax ?

JHU aka Johns Hopkins database selected ...
Available keys words are :  ['deaths', 'confirmed', 'recovered']

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-2-cef69dad9529> in <module>
      1 jhu =  co.DataBase('jhu')
----> 2 pd=jhu.get_stats(which='confirmed',type='Cumul',location='FRA',output='pandas')
      3 pd.head()

~/Dropbox/Git/CoCoA/cocoa/covid19.py in get_stats(self, **kwargs)
    305             i+=1
    306         if output == "pandas":
--> 307             babypandas = pd.DataFrame(data[0])
    308             for i in range(1,len(clist)):
    309                 df=pd.DataFrame(data[i])

~/.local/lib/python3.8/site-packages/pandas/core/frame.py in __init__(self, data, index, columns, dtype, copy)
    433             )
    434         elif isinstance(data, dict):
--> 435             mgr = init_dict(data, index, columns, dtype=dtype)
    436         elif isinstance(data, ma.MaskedArray):
    437             import numpy.ma.mrecords as mrecords

~/.local/lib/python3.8/site-packages/pandas/core/internals/construction.py in init_dict(data, index, columns, dtype)
    252             arr if not is_datetime64tz_dtype(arr) else arr.copy() for arr in arrays
    253         ]
--> 254     return arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype)
    255 
    256 

~/.local/lib/python3.8/site-packages/pandas/core/internals/construction.py in arrays_to_mgr(arrays, arr_names, index, columns, dtype)
     62     # figure out the index, if necessary
     63     if index is None:
---> 64         index = extract_index(arrays)
     65     else:
     66         index = ensure_index(index)

~/.local/lib/python3.8/site-packages/pandas/core/internals/construction.py in extract_index(data)
    363             lengths = list(set(raw_lengths))
    364             if len(lengths) > 1:
--> 365                 raise ValueError("arrays must all be same length")
    366 
    367             if have_dicts:

ValueError: arrays must all be same length

cocoa_histo can handdle it

!pip install
marche pas chez moi car j'utilise pip3 c'est con hein ?