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DBnomics
mdbnomics
Commits
2841e9df
Commit
2841e9df
authored
Mar 31, 2020
by
Dóra Kocsis
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Plain Diff
cosmetics
parent
27e5ce24
Changes
4
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4 changed files
with
11 additions
and
24 deletions
+11
-24
src/subroutines/fetch_series_by_api_link.m
src/subroutines/fetch_series_by_api_link.m
+7
-10
src/subroutines/flatten_dbnomics_series.m
src/subroutines/flatten_dbnomics_series.m
+1
-0
src/subroutines/normalize_period.m
src/subroutines/normalize_period.m
+2
-7
src/subroutines/normalize_value.m
src/subroutines/normalize_value.m
+1
-7
No files found.
src/subroutines/fetch_series_by_api_link.m
View file @
2841e9df
...
...
@@ -37,7 +37,6 @@ function df = fetch_series_by_api_link(api_link, varargin)
%
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
default_editor_base_url
=
'https://editor.nomics.world/api/v1/'
;
p
=
inputParser
;
...
...
@@ -48,11 +47,11 @@ p.addOptional('max_nb_series', NaN, @isnumeric);
p
.
addOptional
(
'editor_api_base_url'
,
default_editor_base_url
,
validStringInput
);
p
.
KeepUnmatched
=
false
;
p
.
parse
(
api_link
,
varargin
{:});
[
datasets_dimensions
,
series_dims_by_dataset_code
,
series_list
]
=
iter_series_info
(
api_link
,
p
.
Results
.
max_nb_series
);
if
isempty
(
series_list
)
df
=
{};
return
else
common_columns
=
{
'x_frequency'
,
'provider_code'
,
'dataset_code'
,
'dataset_name'
,
'series_code'
,
'series_name'
,
'original_period'
,
'period'
,
'original_value'
,
'value'
};
% Compute dimensions_labels_columns_names and dimensions_codes_columns_names
...
...
@@ -60,7 +59,7 @@ else
dimensions_codes_columns_names
=
{};
dataset_codes
=
fieldnames
(
datasets_dimensions
);
for
ii
=
1
:
length
(
fieldnames
(
datasets_dimensions
)
)
for
ii
=
1
:
length
(
dataset_codes
)
dataset_dimensions
=
datasets_dimensions
.
(
dataset_codes
{
ii
});
dimensions_codes_columns_names
=
dataset_dimensions
.
dimensions_codes_order
'
;
for
jj
=
1
:
length
(
dataset_dimensions
.
dimensions_codes_order
)
...
...
@@ -87,16 +86,14 @@ else
end
df
=
cell
(
length
(
series_list
{
1
}
.
value
)
*
length
(
series_list
)
+
1
,
length
(
ordered_columns_names
));
for
col
=
1
:
length
(
ordered_columns_names
)
col_
=
ordered_columns_names
{
col
};
df
{
1
,
col
}
=
col_
;
end
df
(
1
,:)
=
ordered_columns_names
;
series_length
=
0
;
% Flatten series received from the API (rename some keys of JSON result to match
DataFrame
organization)
series_length
=
0
;
% Flatten series received from the API (rename some keys of JSON result to match
cell array
organization)
for
ii
=
1
:
length
(
series_list
)
if
~
isfield
(
series_list
{
ii
},
'filtered'
)
flat_series
=
flatten_dbnomics_series
(
series_list
{
ii
});
% Add dimensions labels to flat_series
complete_dataset_code
=
[
flat_series
.
provider_code
'_'
flat_series
.
dataset_code
];
dataset_dimensions
=
datasets_dimensions
.
(
complete_dataset_code
);
...
...
@@ -116,7 +113,7 @@ else
dimension_label
=
dataset_dimensions_labels
.
(
dimension_codes
{
jj
});
flat_series
.
labels
{
jj
,
1
}
=
dimension_label
;
dimension_value_code
=
regexprep
(
series_dims_by_dataset_code
.
(
complete_dataset_code
)
.
(
series_code
)
.
(
dimension_codes
{
jj
}),
'[^a-zA-Z0-9]'
,
'_'
);
if
isstrprop
(
dimension_value_code
(
1
),
'digit'
)
%MATLAB doesn't allow struct fieldnames to start with a digit
if
isstrprop
(
dimension_value_code
(
1
),
'digit'
)
%MATLAB doesn't allow struct field
names to start with a digit
dimension_value_code
=
strcat
(
'x'
,
dimension_value_code
);
end
try
...
...
src/subroutines/flatten_dbnomics_series.m
View file @
2841e9df
...
...
@@ -32,6 +32,7 @@ function series = flatten_dbnomics_series(series)
series
=
normalize_period
(
series
);
series
=
normalize_value
(
series
);
% Flatten dimensions.
if
isfield
(
series
,
'dimensions'
)
dimensions
=
series
.
dimensions
;
...
...
src/subroutines/normalize_period.m
View file @
2841e9df
...
...
@@ -29,12 +29,7 @@ function series = normalize_period(series)
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
period
=
series
.
period
;
period_start_day
=
series
.
period_start_day
;
series
.
original_
period
=
series
.
period
;
series
.
period
=
cellfun
(
@
(
x
)
datestr
(
datetime
(
x
,
'InputFormat'
,
'yyyy-MM-dd'
),
29
),
series
.
period_start_day
,
'UniformOutput'
,
false
)
;
series
=
rmfield
(
series
,
'period_start_day'
);
series
.
original_period
=
period
;
for
ii
=
1
:
length
(
period_start_day
)
series
.
period
{
ii
,
1
}
=
datestr
(
datetime
(
period_start_day
{
ii
},
'InputFormat'
,
'yyyy-MM-dd'
),
29
);
end
end
src/subroutines/normalize_value.m
View file @
2841e9df
...
...
@@ -31,13 +31,7 @@ function series = normalize_value(series)
if
iscell
(
series
.
value
)
series
.
original_value
=
series
.
value
;
value
=
series
.
value
;
for
ii
=
1
:
length
(
value
)
if
strcmp
(
value
{
ii
},
'NA'
)
value
{
ii
}
=
NaN
;
end
end
series
.
value
=
value
;
series
.
value
(
cell2mat
(
cellfun
(
@
(
x
)
strcmp
(
x
,
'NA'
),
series
.
value
,
'UniformOutput'
,
false
)))
=
{
NaN
};
else
series
.
original_value
=
num2cell
(
series
.
value
);
series
.
value
=
num2cell
(
series
.
value
);
...
...
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