Python build_gen4_config примеры использования

Пример #1

Файл: cepalstat_tb-death-rate_357.py Проект: spikewilliams/statmart

# Generation 2 - Refines the rough csv data from Generation 1 into a standardized csv format common to all data sets. Prepares this data for importing to the database.

# <codecell>

gen2_cepalstat.build(config)
data_list = gen3_utils.get_gen2_data(config)
us.log(data_list[0:3]) # have a look at a sample of the data

# <markdowncell>

# Generation 3 - Load the Generation 2 data into the database.

# <codecell>

gen3_utils.standard_load_from_data_list(data_list)

# <markdowncell>

# Generation 4 - Build a php file that uses javascript to generate SVGs using the data in the database

# <codecell>

import imp
imp.reload(gen4_utils)
config = gen4_utils.build_gen4_config(config, title="Death rate - Tuberculosis", unit="Percentage of registered deaths")
page = gen4_utils.build_d3_line_graph(config)

# <codecell>

Пример #2

Файл: itu_internet-access.py Проект: spikewilliams/statmart

# <codecell>

imp.reload(gen3_utils)
data_list = gen3_utils.get_gen2_data(config)
gen3_utils.standard_load_from_data_list(data_list)
data_list[0:3]

# <markdowncell>

# Generation 4 - Build a php file that uses javascript to generate SVGs using the data in the database

# <codecell>

import imp
imp.reload(gen4_utils)
config = gen4_utils.build_gen4_config(config)
page = gen4_utils.build_d3_line_graph(config)

# <codecell>

filelist

# <codecell>

str = "timeseries.php?s="
str = str + ",".join(filelist)
str

# <codecell>

Пример #3

Файл: eclac_fb.py Проект: spikewilliams/statmart

# <codecell>

imp.reload(gen3_utils)
data_list = gen3_utils.get_gen2_data(config)
gen3_utils.standard_load_from_data_list(data_list)
data_list[0:3]

# <markdowncell>

# Generation 4 - Build a php file that uses javascript to generate SVGs using the data in the database

# <codecell>

import imp
imp.reload(gen4_utils)
config = gen4_utils.build_gen4_config(config)
page = gen4_utils.build_d3_line_graph(config)

# <codecell>

filelist

# <codecell>


country_dict

# <codecell>

Пример #4

Файл: cepalstat_contraception_307.py Проект: spikewilliams/statmart

gen2_cepalstat.build(config)
data_list = gen3_utils.get_gen2_data(config)
us.log(data_list[0:3])  # have a look at a sample of the data

# <markdowncell>

# Generation 3 - Load the Generation 2 data into the database.

# <codecell>

gen3_utils.standard_load_from_data_list(data_list)

# <markdowncell>

# Generation 4 - Build a php file that uses javascript to generate SVGs using the data in the database

# <codecell>

import imp
imp.reload(gen4_utils)
config = gen4_utils.build_gen4_config(
    config, unit="Percentage of women using contraception")
page = gen4_utils.build_d3_line_graph(config)

# <codecell>

data_list[1][2]["description"]

# <codecell>

Пример #5

# Generation 3 - Load the Generation 2 data into the database.

# <codecell>

data_list = gen3_utils.get_gen2_data(config)
gen3_utils.standard_load_from_data_list(data_list)
data_list[0][1]

# <markdowncell>

# Here are the names of the series:

# <codecell>

filelist

# <markdowncell>

# Generation 4 - Build a php file that uses javascript to generate SVGs using the data in the database

# <codecell>

import imp
imp.reload(gen4_utils)
config = gen4_utils.build_gen4_config(config, y_axis_label='$Unit of imperial mega gallons')
page = gen4_utils.build_d3_line_graph(config)

# <codecell>