dharmatech

## issued-maturing-sum-line-freq-by-day.py
import pandas as pd
import treasury_gov_pandas
from bokeh.plotting import figure, show
from bokeh.models   import NumeralTickFormatter, HoverTool
import bokeh.models

import bokeh.palettes
import bokeh.transform
# ----------------------------------------------------------------------
# df = treasury_gov_pandas.update_records(

## auction-data-table.py

import numpy as np
import pandas as pd
import treasury_gov_pandas

df = treasury_gov_pandas.update_records('https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v1/accounting/od/auctions_query')

# print(df.iloc[0].to_string())

# print(df.iloc[-10].to_string())

## treasury-gov-auction-data-high-yield.py
import pandas as pd

from bokeh.plotting import figure, show
from bokeh.models   import NumeralTickFormatter, HoverTool

from bokeh.models import LinearAxis, Range1d

import yfinance as yf

import treasury_gov_pandas

## treasury-gov-auction-data-quarter-line-ratio-spx.py
import pandas as pd

from bokeh.plotting import figure, show
from bokeh.models   import NumeralTickFormatter, HoverTool

from bokeh.models import LinearAxis, Range1d

import yfinance as yf
# ---------------------------------------------------------------------
df = treasury_gov_pandas.update_records(

## treasury-gov-auction-data-quarter-line-ratio.py
import pandas as pd
import treasury_gov_pandas

from bokeh.plotting import figure, show
from bokeh.models   import NumeralTickFormatter, HoverTool
# ---------------------------------------------------------------------
df = treasury_gov_pandas.update_records(
    'auctions_query.pkl',
    'https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v1/accounting/od/auctions_query')
# ----------------------------------------------------------------------

## example-revenue-collections-by-month.py
import pandas as pd
import treasury_gov_pandas
from bokeh.plotting import figure, show
from bokeh.models   import NumeralTickFormatter, HoverTool
import bokeh.models

import bokeh.palettes
import bokeh.transform

# ----------------------------------------------------------------------

## example-auctions-query-issued-maturing-sum.py
import pandas as pd
import treasury_gov_pandas
from bokeh.plotting import figure, show
from bokeh.models   import NumeralTickFormatter, HoverTool
import bokeh.models

import bokeh.palettes
import bokeh.transform
# ----------------------------------------------------------------------
df = treasury_gov_pandas.update_records(

## example-auctions-query-bokeh-simple.py
import pandas as pd
import treasury_gov_pandas
from bokeh.plotting import figure, show
from bokeh.models   import NumeralTickFormatter, HoverTool
# ----------------------------------------------------------------------
df = treasury_gov_pandas.update_records(
    'auctions_query.pkl',
    'https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v1/accounting/od/auctions_query')

# df

## so-example-debt-held-public-amt-multi-func-formatter.py

import requests
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick
# ----------------------------------------------------------------------
page_size = 10000

url = 'https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v2/accounting/od/debt_to_penny'

## tga-taxes-fy-2023.ps1

$base = 'https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v1/accounting/dts'

$fields = @(
    'record_date',
    'account_type',
    'transaction_type',
    'transaction_catg',
    # 'transaction_catg_desc',
    # 'transaction_today_amt',
	import pandas as pd
	import treasury_gov_pandas
	from bokeh.plotting import figure, show
	from bokeh.models import NumeralTickFormatter, HoverTool
	import bokeh.models

	import bokeh.palettes
	import bokeh.transform
	# ----------------------------------------------------------------------
	# df = treasury_gov_pandas.update_records(

	import numpy as np
	import pandas as pd
	import treasury_gov_pandas

	df = treasury_gov_pandas.update_records('https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v1/accounting/od/auctions_query')

	# print(df.iloc[0].to_string())

	# print(df.iloc[-10].to_string())

	import requests
	import pandas as pd
	import matplotlib.pyplot as plt
	import matplotlib.ticker as mtick
	# ----------------------------------------------------------------------
	page_size = 10000

	url = 'https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v2/accounting/od/debt_to_penny'

	$base = 'https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v1/accounting/dts'

	$fields = @(
	'record_date',
	'account_type',
	'transaction_type',
	'transaction_catg',
	# 'transaction_catg_desc',
	# 'transaction_today_amt',