{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Iteration of larch Group class\n",
"This notebook provides a example of using larch Group in iterative method to deal with multiple data sets."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# importing dependencies to run this notebook\n",
"from larch import Group\n",
"from larch.io import read_ascii, read_athena\n",
"\n",
"import os"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Before we start: Group class now supports 2 ways of accessing the data\n",
"1. Using attribute name\n",
"2. Using dictionary key\n",
"\n",
"These method will provide a more convenient way to access the data in the group."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"Group ascii_file ../xafsdata/fe.060Attribute Type path str filename str header list data ndarray array_labels list attrs Group energy ndarray i0 ndarray it ndarray
"
],
"text/plain": [
""
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = read_ascii('../xafsdata/fe.060')\n",
"\n",
"# Print the data\n",
"data"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([41410.4, 41396.4, 41300.4, 41247.4, 41157.4, 40865.4, 41042.4,\n",
" 40979.4, 40879.4, 40833.4, 40790.4, 40742.4, 40563.4, 40481.4,\n",
" 40311.4, 40110.4, 40043.4, 39948.4, 39859.4, 39752.4, 39618.4,\n",
" 39448.4, 39383.4, 39225.4, 39077.4, 38931.4, 38754.4, 38104.4,\n",
" 38285.4, 38021.4, 37746.4, 37451.4, 37019.4, 37350.4, 37201.4,\n",
" 37121.4, 37124.4, 37120.4, 37136.4, 37136.4, 37132.4, 37133.4,\n",
" 37124.4, 37130.4, 37125.4, 37148.4, 37159.4, 37147.4, 37146.4,\n",
" 37147.4, 37137.4, 37159.4, 37134.4, 37103.4, 37084.4, 37145.4,\n",
" 37005.4, 36946.4, 37032.4, 37078.4, 37062.4, 37048.4, 37027.4,\n",
" 36996.4, 36964.4, 36951.4, 36951.4, 36949.4, 36946.4, 36905.4,\n",
" 36895.4, 36900.4, 36866.4, 36844.4, 36839.4, 36828.4, 36808.4,\n",
" 36791.4, 36806.4, 36857.4, 36893.4, 36895.4, 36909.4, 36937.4,\n",
" 36950.4, 36968.4, 36969.4, 36965.4, 36972.4, 36969.4, 36950.4,\n",
" 36920.4, 36916.4, 36906.4, 36850.4, 36812.4, 36811.4, 36786.4,\n",
" 36765.4, 36752.4, 36749.4, 36679.4, 36617.4, 36617.4, 36600.4,\n",
" 36583.4, 36580.4, 36556.4, 36538.4, 36517.4, 36498.4, 36471.4,\n",
" 36474.4, 36464.4, 36431.4, 36390.4, 36364.4, 36364.4, 36354.4,\n",
" 36341.4, 36328.4, 36322.4, 36302.4, 36287.4, 36267.4, 36285.4,\n",
" 36291.4, 36284.4, 36268.4, 36255.4, 36247.4, 36229.4, 36195.4,\n",
" 36183.4, 36158.4, 36146.4, 36114.4, 36016.4, 35999.4, 35991.4,\n",
" 35962.4, 35932.4, 35894.4, 35856.4, 35812.4, 35780.4, 35788.4,\n",
" 35783.4, 35766.4, 35746.4, 35726.4, 35721.4, 35725.4, 35701.4,\n",
" 35686.4, 35657.4, 35665.4, 35671.4, 35642.4, 35624.4, 35649.4,\n",
" 35636.4, 35624.4, 35646.4, 35635.4, 35624.4, 35611.4, 35619.4,\n",
" 35628.4, 35631.4, 35604.4, 35586.4, 35587.4, 35575.4, 35562.4,\n",
" 35553.4, 35568.4, 35575.4, 35561.4, 35591.4, 35597.4, 35586.4,\n",
" 35581.4, 35569.4, 35562.4, 35553.4, 35528.4, 35455.4, 35400.4,\n",
" 35310.4, 35158.4, 34450.4, 35406.4, 35338.4, 35311.4, 35297.4,\n",
" 35288.4, 35295.4, 35303.4, 35287.4, 35233.4, 34599.4, 35351.4,\n",
" 35371.4, 35382.4, 35383.4, 35353.4, 35319.4, 35276.4, 35234.4,\n",
" 35181.4, 35131.4, 35075.4, 35009.4, 34953.4, 34898.4, 34829.4,\n",
" 34670.4, 34656.4, 34627.4, 34535.4, 34525.4, 34487.4, 34421.4,\n",
" 34393.4, 34322.4, 34321.4, 34238.4, 34145.4, 34180.4, 34148.4,\n",
" 34141.4, 34096.4, 34057.4, 33989.4, 33949.4, 33922.4, 33911.4,\n",
" 33884.4, 33847.4, 33829.4, 33790.4, 33710.4, 33201.4, 34234.4,\n",
" 33964.4, 33850.4, 33776.4, 33699.4, 33627.4, 33531.4, 33436.4,\n",
" 33343.4, 33249.4, 33199.4, 33145.4, 33094.4, 33046.4, 33007.4,\n",
" 32973.4, 32939.4, 32940.4, 32940.4, 32951.4, 32963.4, 32935.4,\n",
" 32930.4, 32830.4, 32790.4, 32786.4, 32750.4, 32680.4, 32613.4,\n",
" 32535.4, 32465.4, 32412.4, 32392.4, 32398.4, 32419.4, 32451.4,\n",
" 32468.4, 32476.4, 32520.4, 32500.4, 32485.4, 32478.4, 32444.4,\n",
" 32397.4, 32170.4, 32255.4, 32180.4, 32082.4, 32015.4, 31919.4,\n",
" 31827.4, 31713.4, 31419.4, 31646.4, 31538.4, 31539.4, 31488.4,\n",
" 31398.4, 31341.4, 31133.4, 31200.4, 31078.4, 31096.4, 30576.4,\n",
" 30999.4, 30958.4, 30980.4, 30927.4, 30933.4, 30892.4, 30848.4,\n",
" 30778.4, 30687.4, 30618.4, 30546.4, 30383.4, 30672.4, 30407.4,\n",
" 30287.4, 30210.4, 30148.4, 30114.4, 30091.4, 30147.4, 29519.4,\n",
" 27643.4, 28181.4, 28691.4, 28729.4, 28703.4, 28663.4, 28611.4,\n",
" 28612.4, 28630.4, 28708.4, 28740.4, 28694.4, 28618.4, 27648.4,\n",
" 28619.4, 28548.4, 28515.4, 28475.4, 28424.4, 28406.4, 28342.4,\n",
" 28279.4, 28210.4, 28129.4, 28016.4, 27987.4, 27892.4, 27697.4,\n",
" 27644.4, 27577.4, 27554.4, 27513.4, 27415.4, 27298.4, 27207.4,\n",
" 27160.4, 27118.4, 27100.4, 27016.4, 26958.4, 26986.4, 26980.4,\n",
" 26888.4, 26928.4, 26799.4, 26646.4, 26446.4, 26282.4, 26056.4,\n",
" 25892.4, 25695.4, 25529.4, 25369.4, 25129.4, 25111.4, 25038.4,\n",
" 24970.4, 24861.4, 24711.4, 24601.4, 24412.4, 24369.4, 24146.4,\n",
" 24002.4, 23903.4, 23726.4, 23661.4, 23617.4, 23560.4, 23474.4,\n",
" 23412.4, 23321.4, 23279.4, 23240.4, 23195.4, 23145.4, 23053.4,\n",
" 22750.4, 22895.4, 22772.4, 22624.4, 22485.4, 22433.4, 22407.4,\n",
" 22371.4, 22354.4, 22265.4, 22173.4, 22115.4, 22009.4, 21974.4,\n",
" 21925.4, 21863.4, 21819.4, 21489.4, 21713.4, 21618.4, 21454.4,\n",
" 21283.4, 21156.4, 21008.4, 20958.4, 20888.4, 20826.4, 20684.4,\n",
" 20734.4, 20696.4, 20615.4, 20497.4, 20454.4, 20318.4, 20364.4,\n",
" 20367.4, 20423.4, 20518.4, 20577.4, 20645.4, 20591.4, 20567.4,\n",
" 20469.4, 20478.4, 20472.4, 20374.4, 20329.4, 20313.4, 20249.4,\n",
" 20180.4, 20106.4, 20028.4, 19950.4, 19934.4, 19911.4, 19928.4,\n",
" 19914.4, 19893.4, 19800.4, 19678.4, 19471.4, 19456.4, 19428.4,\n",
" 19330.4, 19245.4, 19122.4, 18971.4, 18824.4, 18533.4, 18454.4,\n",
" 18414.4, 18066.4, 17895.4, 17796.4, 17639.4, 17519.4, 17462.4,\n",
" 17575.4, 17337.4, 17123.4, 17254.4, 16996.4, 14785.4, 17379.4,\n",
" 17089.4, 16912.4, 16738.4, 16586.4, 16346.4, 16391.4, 16161.4,\n",
" 16111.4, 16033.4, 15222.4, 15724.4, 15670.4, 15529.4, 15465.4,\n",
" 15340.4, 15242.4, 15296.4, 15247.4, 15193.4, 15164.4, 15103.4])"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Printing the content in the group via the attribute name\n",
"\n",
"data.i0"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([41410.4, 41396.4, 41300.4, 41247.4, 41157.4, 40865.4, 41042.4,\n",
" 40979.4, 40879.4, 40833.4, 40790.4, 40742.4, 40563.4, 40481.4,\n",
" 40311.4, 40110.4, 40043.4, 39948.4, 39859.4, 39752.4, 39618.4,\n",
" 39448.4, 39383.4, 39225.4, 39077.4, 38931.4, 38754.4, 38104.4,\n",
" 38285.4, 38021.4, 37746.4, 37451.4, 37019.4, 37350.4, 37201.4,\n",
" 37121.4, 37124.4, 37120.4, 37136.4, 37136.4, 37132.4, 37133.4,\n",
" 37124.4, 37130.4, 37125.4, 37148.4, 37159.4, 37147.4, 37146.4,\n",
" 37147.4, 37137.4, 37159.4, 37134.4, 37103.4, 37084.4, 37145.4,\n",
" 37005.4, 36946.4, 37032.4, 37078.4, 37062.4, 37048.4, 37027.4,\n",
" 36996.4, 36964.4, 36951.4, 36951.4, 36949.4, 36946.4, 36905.4,\n",
" 36895.4, 36900.4, 36866.4, 36844.4, 36839.4, 36828.4, 36808.4,\n",
" 36791.4, 36806.4, 36857.4, 36893.4, 36895.4, 36909.4, 36937.4,\n",
" 36950.4, 36968.4, 36969.4, 36965.4, 36972.4, 36969.4, 36950.4,\n",
" 36920.4, 36916.4, 36906.4, 36850.4, 36812.4, 36811.4, 36786.4,\n",
" 36765.4, 36752.4, 36749.4, 36679.4, 36617.4, 36617.4, 36600.4,\n",
" 36583.4, 36580.4, 36556.4, 36538.4, 36517.4, 36498.4, 36471.4,\n",
" 36474.4, 36464.4, 36431.4, 36390.4, 36364.4, 36364.4, 36354.4,\n",
" 36341.4, 36328.4, 36322.4, 36302.4, 36287.4, 36267.4, 36285.4,\n",
" 36291.4, 36284.4, 36268.4, 36255.4, 36247.4, 36229.4, 36195.4,\n",
" 36183.4, 36158.4, 36146.4, 36114.4, 36016.4, 35999.4, 35991.4,\n",
" 35962.4, 35932.4, 35894.4, 35856.4, 35812.4, 35780.4, 35788.4,\n",
" 35783.4, 35766.4, 35746.4, 35726.4, 35721.4, 35725.4, 35701.4,\n",
" 35686.4, 35657.4, 35665.4, 35671.4, 35642.4, 35624.4, 35649.4,\n",
" 35636.4, 35624.4, 35646.4, 35635.4, 35624.4, 35611.4, 35619.4,\n",
" 35628.4, 35631.4, 35604.4, 35586.4, 35587.4, 35575.4, 35562.4,\n",
" 35553.4, 35568.4, 35575.4, 35561.4, 35591.4, 35597.4, 35586.4,\n",
" 35581.4, 35569.4, 35562.4, 35553.4, 35528.4, 35455.4, 35400.4,\n",
" 35310.4, 35158.4, 34450.4, 35406.4, 35338.4, 35311.4, 35297.4,\n",
" 35288.4, 35295.4, 35303.4, 35287.4, 35233.4, 34599.4, 35351.4,\n",
" 35371.4, 35382.4, 35383.4, 35353.4, 35319.4, 35276.4, 35234.4,\n",
" 35181.4, 35131.4, 35075.4, 35009.4, 34953.4, 34898.4, 34829.4,\n",
" 34670.4, 34656.4, 34627.4, 34535.4, 34525.4, 34487.4, 34421.4,\n",
" 34393.4, 34322.4, 34321.4, 34238.4, 34145.4, 34180.4, 34148.4,\n",
" 34141.4, 34096.4, 34057.4, 33989.4, 33949.4, 33922.4, 33911.4,\n",
" 33884.4, 33847.4, 33829.4, 33790.4, 33710.4, 33201.4, 34234.4,\n",
" 33964.4, 33850.4, 33776.4, 33699.4, 33627.4, 33531.4, 33436.4,\n",
" 33343.4, 33249.4, 33199.4, 33145.4, 33094.4, 33046.4, 33007.4,\n",
" 32973.4, 32939.4, 32940.4, 32940.4, 32951.4, 32963.4, 32935.4,\n",
" 32930.4, 32830.4, 32790.4, 32786.4, 32750.4, 32680.4, 32613.4,\n",
" 32535.4, 32465.4, 32412.4, 32392.4, 32398.4, 32419.4, 32451.4,\n",
" 32468.4, 32476.4, 32520.4, 32500.4, 32485.4, 32478.4, 32444.4,\n",
" 32397.4, 32170.4, 32255.4, 32180.4, 32082.4, 32015.4, 31919.4,\n",
" 31827.4, 31713.4, 31419.4, 31646.4, 31538.4, 31539.4, 31488.4,\n",
" 31398.4, 31341.4, 31133.4, 31200.4, 31078.4, 31096.4, 30576.4,\n",
" 30999.4, 30958.4, 30980.4, 30927.4, 30933.4, 30892.4, 30848.4,\n",
" 30778.4, 30687.4, 30618.4, 30546.4, 30383.4, 30672.4, 30407.4,\n",
" 30287.4, 30210.4, 30148.4, 30114.4, 30091.4, 30147.4, 29519.4,\n",
" 27643.4, 28181.4, 28691.4, 28729.4, 28703.4, 28663.4, 28611.4,\n",
" 28612.4, 28630.4, 28708.4, 28740.4, 28694.4, 28618.4, 27648.4,\n",
" 28619.4, 28548.4, 28515.4, 28475.4, 28424.4, 28406.4, 28342.4,\n",
" 28279.4, 28210.4, 28129.4, 28016.4, 27987.4, 27892.4, 27697.4,\n",
" 27644.4, 27577.4, 27554.4, 27513.4, 27415.4, 27298.4, 27207.4,\n",
" 27160.4, 27118.4, 27100.4, 27016.4, 26958.4, 26986.4, 26980.4,\n",
" 26888.4, 26928.4, 26799.4, 26646.4, 26446.4, 26282.4, 26056.4,\n",
" 25892.4, 25695.4, 25529.4, 25369.4, 25129.4, 25111.4, 25038.4,\n",
" 24970.4, 24861.4, 24711.4, 24601.4, 24412.4, 24369.4, 24146.4,\n",
" 24002.4, 23903.4, 23726.4, 23661.4, 23617.4, 23560.4, 23474.4,\n",
" 23412.4, 23321.4, 23279.4, 23240.4, 23195.4, 23145.4, 23053.4,\n",
" 22750.4, 22895.4, 22772.4, 22624.4, 22485.4, 22433.4, 22407.4,\n",
" 22371.4, 22354.4, 22265.4, 22173.4, 22115.4, 22009.4, 21974.4,\n",
" 21925.4, 21863.4, 21819.4, 21489.4, 21713.4, 21618.4, 21454.4,\n",
" 21283.4, 21156.4, 21008.4, 20958.4, 20888.4, 20826.4, 20684.4,\n",
" 20734.4, 20696.4, 20615.4, 20497.4, 20454.4, 20318.4, 20364.4,\n",
" 20367.4, 20423.4, 20518.4, 20577.4, 20645.4, 20591.4, 20567.4,\n",
" 20469.4, 20478.4, 20472.4, 20374.4, 20329.4, 20313.4, 20249.4,\n",
" 20180.4, 20106.4, 20028.4, 19950.4, 19934.4, 19911.4, 19928.4,\n",
" 19914.4, 19893.4, 19800.4, 19678.4, 19471.4, 19456.4, 19428.4,\n",
" 19330.4, 19245.4, 19122.4, 18971.4, 18824.4, 18533.4, 18454.4,\n",
" 18414.4, 18066.4, 17895.4, 17796.4, 17639.4, 17519.4, 17462.4,\n",
" 17575.4, 17337.4, 17123.4, 17254.4, 16996.4, 14785.4, 17379.4,\n",
" 17089.4, 16912.4, 16738.4, 16586.4, 16346.4, 16391.4, 16161.4,\n",
" 16111.4, 16033.4, 15222.4, 15724.4, 15670.4, 15529.4, 15465.4,\n",
" 15340.4, 15242.4, 15296.4, 15247.4, 15193.4, 15164.4, 15103.4])"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Printing the content in the group via the key name\n",
"\n",
"data['i0']"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Using regular Groups"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"data = read_ascii('../xafsdata/fe.060')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"Group ascii_file ../xafsdata/fe.060Attribute Type path str filename str header list data ndarray array_labels list attrs Group energy ndarray i0 ndarray it ndarray
"
],
"text/plain": [
""
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Printing the content in the group\n",
"\n",
"data"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Iteration over the group will iterate over the keys in the group\n",
"path\n",
"filename\n",
"header\n",
"data\n",
"array_labels\n",
"attrs\n",
"energy\n",
"i0\n",
"it\n",
"\n",
"\n",
"The keys can also be accessed using the keys() method\n",
"path\n",
"filename\n",
"header\n",
"data\n",
"array_labels\n",
"attrs\n",
"energy\n",
"i0\n",
"it\n"
]
}
],
"source": [
"# Iterating over the group\n",
"# the default iterator will iterate over the keys in the group\n",
"# keys can also be accessed using the keys() method\n",
"\n",
"print(\"Iteration over the group will iterate over the keys in the group\")\n",
"for key in data:\n",
" print(key)\n",
"\n",
"print(\"\\n\")\n",
"\n",
"print(\"The keys can also be accessed using the keys() method\") \n",
"for key in data.keys():\n",
" print(key)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"../xafsdata/fe.060\n",
"fe.060\n",
"['XDAC V1.2 Datafile V1', '\"fe.060\" created on 10/3/02 at 10:20:36 PM on X-11A', 'Ring energy= 2.58 GeV', 'E0= 7112.00', 'NUM_REGIONS= 3', 'SRB= -200 -20 20 22k', 'SRSS= 5 0.5 0.05k', 'SPP= 2 2 2', 'Settling time= 0.50', 'Offsets= 9925.80 9914.40', 'Gains= 7.00 7.00', 'Iron foil, I0: 50%N2, It:N2', '--------------------------------------------------------------------------------', 'Energy I0 It']\n",
"[[ 6911.98862 6916.99353 6922.006 ... 8946.20242 8954.56525\n",
" 8962.94414]\n",
" [41410.4 41396.4 41300.4 ... 15193.4 15164.4\n",
" 15103.4 ]\n",
" [39622.2 39720.2 39729.2 ... 6687.2 6708.2\n",
" 6716.2 ]]\n",
"['energy', 'i0', 'it']\n",
"\n",
"[6911.98862 6916.99353 6922.006 6927.0007 6932.00293 6937.01271\n",
" 6942.00457 6947.00394 6952.01083 6956.99966 6961.99597 6966.99978\n",
" 6972.0111 6977.0042 6982.00476 6987.01281 6992.00249 6996.99961\n",
" 7002.00419 7006.99026 7012.00977 7017.01072 7021.99301 7027.00883\n",
" 7032.00595 7037.01049 7041.9962 7046.98928 7051.98975 7056.99763\n",
" 7062.01293 7067.00921 7072.01286 7076.99738 7081.98922 7086.98841\n",
" 7091.99496 7092.50135 7093.00782 7093.4877 7093.99431 7094.501\n",
" 7095.00777 7095.48793 7095.99484 7096.50183 7097.00889 7097.48933\n",
" 7097.99654 7098.50383 7099.01119 7099.49192 7099.99942 7100.50701\n",
" 7100.98794 7101.49568 7102.00348 7102.51136 7102.99258 7103.50061\n",
" 7104.00872 7104.49015 7104.9984 7105.50673 7105.98838 7106.49685\n",
" 7107.00541 7107.48726 7107.99596 7108.50474 7108.9868 7109.49573\n",
" 7110.00473 7110.48701 7110.99615 7111.50538 7111.98787 7112.49724\n",
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" 8672.99916 8680.68393 8688.42326 8696.21741 8703.98524 8711.76733\n",
" 8719.60459 8727.41541 8735.28162 8743.16242 8751.05782 8758.96789\n",
" 8766.89265 8774.83215 8782.8279 8790.79708 8798.82274 8806.82176\n",
" 8814.8775 8822.94838 8831.03445 8839.13575 8847.25231 8855.38419\n",
" 8863.53143 8871.73639 8879.91455 8888.15068 8896.35993 8904.62741\n",
" 8912.91068 8921.20976 8929.52472 8937.85559 8946.20242 8954.56525\n",
" 8962.94414]\n",
"[41410.4 41396.4 41300.4 41247.4 41157.4 40865.4 41042.4 40979.4 40879.4\n",
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" 37124.4 37120.4 37136.4 37136.4 37132.4 37133.4 37124.4 37130.4 37125.4\n",
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" 36866.4 36844.4 36839.4 36828.4 36808.4 36791.4 36806.4 36857.4 36893.4\n",
" 36895.4 36909.4 36937.4 36950.4 36968.4 36969.4 36965.4 36972.4 36969.4\n",
" 36950.4 36920.4 36916.4 36906.4 36850.4 36812.4 36811.4 36786.4 36765.4\n",
" 36752.4 36749.4 36679.4 36617.4 36617.4 36600.4 36583.4 36580.4 36556.4\n",
" 36538.4 36517.4 36498.4 36471.4 36474.4 36464.4 36431.4 36390.4 36364.4\n",
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" 36291.4 36284.4 36268.4 36255.4 36247.4 36229.4 36195.4 36183.4 36158.4\n",
" 36146.4 36114.4 36016.4 35999.4 35991.4 35962.4 35932.4 35894.4 35856.4\n",
" 35812.4 35780.4 35788.4 35783.4 35766.4 35746.4 35726.4 35721.4 35725.4\n",
" 35701.4 35686.4 35657.4 35665.4 35671.4 35642.4 35624.4 35649.4 35636.4\n",
" 35624.4 35646.4 35635.4 35624.4 35611.4 35619.4 35628.4 35631.4 35604.4\n",
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" 35310.4 35158.4 34450.4 35406.4 35338.4 35311.4 35297.4 35288.4 35295.4\n",
" 35303.4 35287.4 35233.4 34599.4 35351.4 35371.4 35382.4 35383.4 35353.4\n",
" 35319.4 35276.4 35234.4 35181.4 35131.4 35075.4 35009.4 34953.4 34898.4\n",
" 34829.4 34670.4 34656.4 34627.4 34535.4 34525.4 34487.4 34421.4 34393.4\n",
" 34322.4 34321.4 34238.4 34145.4 34180.4 34148.4 34141.4 34096.4 34057.4\n",
" 33989.4 33949.4 33922.4 33911.4 33884.4 33847.4 33829.4 33790.4 33710.4\n",
" 33201.4 34234.4 33964.4 33850.4 33776.4 33699.4 33627.4 33531.4 33436.4\n",
" 33343.4 33249.4 33199.4 33145.4 33094.4 33046.4 33007.4 32973.4 32939.4\n",
" 32940.4 32940.4 32951.4 32963.4 32935.4 32930.4 32830.4 32790.4 32786.4\n",
" 32750.4 32680.4 32613.4 32535.4 32465.4 32412.4 32392.4 32398.4 32419.4\n",
" 32451.4 32468.4 32476.4 32520.4 32500.4 32485.4 32478.4 32444.4 32397.4\n",
" 32170.4 32255.4 32180.4 32082.4 32015.4 31919.4 31827.4 31713.4 31419.4\n",
" 31646.4 31538.4 31539.4 31488.4 31398.4 31341.4 31133.4 31200.4 31078.4\n",
" 31096.4 30576.4 30999.4 30958.4 30980.4 30927.4 30933.4 30892.4 30848.4\n",
" 30778.4 30687.4 30618.4 30546.4 30383.4 30672.4 30407.4 30287.4 30210.4\n",
" 30148.4 30114.4 30091.4 30147.4 29519.4 27643.4 28181.4 28691.4 28729.4\n",
" 28703.4 28663.4 28611.4 28612.4 28630.4 28708.4 28740.4 28694.4 28618.4\n",
" 27648.4 28619.4 28548.4 28515.4 28475.4 28424.4 28406.4 28342.4 28279.4\n",
" 28210.4 28129.4 28016.4 27987.4 27892.4 27697.4 27644.4 27577.4 27554.4\n",
" 27513.4 27415.4 27298.4 27207.4 27160.4 27118.4 27100.4 27016.4 26958.4\n",
" 26986.4 26980.4 26888.4 26928.4 26799.4 26646.4 26446.4 26282.4 26056.4\n",
" 25892.4 25695.4 25529.4 25369.4 25129.4 25111.4 25038.4 24970.4 24861.4\n",
" 24711.4 24601.4 24412.4 24369.4 24146.4 24002.4 23903.4 23726.4 23661.4\n",
" 23617.4 23560.4 23474.4 23412.4 23321.4 23279.4 23240.4 23195.4 23145.4\n",
" 23053.4 22750.4 22895.4 22772.4 22624.4 22485.4 22433.4 22407.4 22371.4\n",
" 22354.4 22265.4 22173.4 22115.4 22009.4 21974.4 21925.4 21863.4 21819.4\n",
" 21489.4 21713.4 21618.4 21454.4 21283.4 21156.4 21008.4 20958.4 20888.4\n",
" 20826.4 20684.4 20734.4 20696.4 20615.4 20497.4 20454.4 20318.4 20364.4\n",
" 20367.4 20423.4 20518.4 20577.4 20645.4 20591.4 20567.4 20469.4 20478.4\n",
" 20472.4 20374.4 20329.4 20313.4 20249.4 20180.4 20106.4 20028.4 19950.4\n",
" 19934.4 19911.4 19928.4 19914.4 19893.4 19800.4 19678.4 19471.4 19456.4\n",
" 19428.4 19330.4 19245.4 19122.4 18971.4 18824.4 18533.4 18454.4 18414.4\n",
" 18066.4 17895.4 17796.4 17639.4 17519.4 17462.4 17575.4 17337.4 17123.4\n",
" 17254.4 16996.4 14785.4 17379.4 17089.4 16912.4 16738.4 16586.4 16346.4\n",
" 16391.4 16161.4 16111.4 16033.4 15222.4 15724.4 15670.4 15529.4 15465.4\n",
" 15340.4 15242.4 15296.4 15247.4 15193.4 15164.4 15103.4]\n",
"[39622.2 39720.2 39729.2 39769.2 39791.2 39605.2 39881.2 39936.2 39941.2\n",
" 40000.2 40064.2 40135.2 40062.2 40096.2 40025.2 39929.2 39964.2 39975.2\n",
" 39976.2 39974.2 39949.2 39871.2 39900.2 39839.2 39780.2 39730.2 39635.2\n",
" 39057.2 39313.2 39128.2 38915.2 38671.2 38265.2 38655.2 38501.2 38388.2\n",
" 38274.2 38247.2 38253.2 38227.2 38187.2 38165.2 38121.2 38093.2 38050.2\n",
" 38024.2 37982.2 37913.2 37835.2 37760.2 37668.2 37587.2 37434.2 37260.2\n",
" 37078.2 36901.2 36505.2 36038.2 35603.2 34772.2 33255.2 31037.2 27149.2\n",
" 23619.2 20828.2 18917.2 17605.2 16485.2 15601.2 14830.2 14426.2 14157.2\n",
" 13960.2 13724.2 13212.2 12414.2 11367.2 10262.2 9252.2 8279.2 7425.2\n",
" 6547.2 5918.2 5354.2 4925.2 4624.2 4329.2 4120.2 3909.2 3730.2\n",
" 3584.2 3432.2 3302.2 3153.2 3003.2 2842.2 2661.2 2495.2 2323.2\n",
" 2172.2 2045.2 1962.2 1933.2 1967.2 2043.2 2165.2 2302.2 2446.2\n",
" 2588.2 2699.2 2803.2 2872.2 2922.2 2944.2 2942.2 2916.2 2780.2\n",
" 2679.2 2602.2 2577.2 2598.2 2638.2 2661.2 2631.2 2546.2 2422.2\n",
" 2288.2 2199.2 2146.2 2107.2 2081.2 2079.2 2101.2 2137.2 2161.2\n",
" 2167.2 2168.2 2176.2 2205.2 2241.2 2269.2 2288.2 2303.2 2327.2\n",
" 2371.2 2446.2 2551.2 2674.2 2804.2 2922.2 2985.2 2985.2 2951.2\n",
" 2882.2 2767.2 2633.2 2508.2 2379.2 2260.2 2206.2 2239.2 2337.2\n",
" 2488.2 2673.2 2889.2 3106.2 3250.2 3247.2 3056.2 2699.2 2287.2\n",
" 1914.2 1653.2 1528.2 1543.2 1693.2 1948.2 2261.2 2607.2 2972.2\n",
" 3272.2 3448.2 3502.2 3443.2 3303.2 3143.2 3019.2 2974.2 3006.2\n",
" 3089.2 3161.2 3088.2 3083.2 2983.2 2927.2 2871.2 2744.2 2574.2\n",
" 2465.2 2433.2 2380.2 2242.2 2167.2 2072.2 2085.2 2266.2 2541.2\n",
" 2815.2 3040.2 3221.2 3359.2 3440.2 3432.2 3388.2 3383.2 3395.2\n",
" 3401.2 3383.2 3373.2 3392.2 3476.2 3581.2 3626.2 3569.2 3402.2\n",
" 3182.2 2976.2 2788.2 2614.2 2481.2 2388.2 2368.2 2415.2 2548.2\n",
" 2819.2 3245.2 3698.2 3947.2 3954.2 3844.2 3721.2 3644.2 3637.2\n",
" 3581.2 3656.2 3591.2 3568.2 3586.2 3653.2 3753.2 3792.2 3775.2\n",
" 3741.2 3636.2 3463.2 3286.2 3172.2 3142.2 3159.2 3188.2 3263.2\n",
" 3401.2 3555.2 3675.2 3759.2 3859.2 4004.2 4122.2 4190.2 4173.2\n",
" 4103.2 4030.2 3985.2 3982.2 4011.2 4023.2 4011.2 3979.2 3953.2\n",
" 3971.2 4019.2 4072.2 4117.2 4095.2 4004.2 3897.2 3841.2 3867.2\n",
" 3940.2 4098.2 4239.2 4332.2 4374.2 4368.2 4330.2 4303.2 4297.2\n",
" 4402.2 4444.2 4428.2 4359.2 4315.2 4337.2 4388.2 4496.2 4562.2\n",
" 4613.2 4560.2 4636.2 4609.2 4567.2 4512.2 4473.2 4441.2 4458.2\n",
" 4510.2 4565.2 4605.2 4638.2 4672.2 4791.2 4822.2 4842.2 4829.2\n",
" 4817.2 4820.2 4843.2 4870.2 4770.2 4486.2 4619.2 4768.2 4835.2\n",
" 4868.2 4895.2 4920.2 4949.2 4960.2 4973.2 4975.2 4977.2 4985.2\n",
" 4837.2 5024.2 5021.2 5035.2 5058.2 5077.2 5102.2 5137.2 5182.2\n",
" 5215.2 5252.2 5275.2 5304.2 5309.2 5312.2 5343.2 5357.2 5382.2\n",
" 5409.2 5434.2 5439.2 5420.2 5415.2 5432.2 5463.2 5483.2 5492.2\n",
" 5503.2 5501.2 5508.2 5561.2 5574.2 5573.2 5562.2 5564.2 5558.2\n",
" 5558.2 5549.2 5550.2 5546.2 5531.2 5570.2 5596.2 5631.2 5662.2\n",
" 5668.2 5672.2 5645.2 5637.2 5583.2 5565.2 5569.2 5569.2 5597.2\n",
" 5615.2 5621.2 5626.2 5641.2 5653.2 5674.2 5690.2 5721.2 5757.2\n",
" 5778.2 5737.2 5803.2 5804.2 5801.2 5804.2 5841.2 5877.2 5900.2\n",
" 5920.2 5919.2 5915.2 5927.2 5931.2 5951.2 5971.2 5991.2 6009.2\n",
" 5943.2 6030.2 6037.2 6029.2 6015.2 6015.2 6010.2 6035.2 6050.2\n",
" 6064.2 6063.2 6119.2 6149.2 6162.2 6163.2 6183.2 6178.2 6225.2\n",
" 6253.2 6299.2 6358.2 6409.2 6464.2 6489.2 6522.2 6525.2 6560.2\n",
" 6597.2 6605.2 6632.2 6663.2 6681.2 6692.2 6708.2 6720.2 6732.2\n",
" 6762.2 6792.2 6836.2 6871.2 6902.2 6910.2 6911.2 6878.2 6911.2\n",
" 6935.2 6934.2 6935.2 6921.2 6901.2 6884.2 6814.2 6824.2 6843.2\n",
" 6753.2 6725.2 6720.2 6696.2 6685.2 6701.2 6780.2 6720.2 6670.2\n",
" 6756.2 6691.2 5854.2 6924.2 6847.2 6811.2 6777.2 6749.2 6684.2\n",
" 6738.2 6682.2 6698.2 6703.2 6399.2 6642.2 6655.2 6632.2 6637.2\n",
" 6617.2 6608.2 6665.2 6676.2 6687.2 6708.2 6716.2]\n"
]
}
],
"source": [
"# Iterating over the group with the values\n",
"\n",
"for value in data.values():\n",
" print(value)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"path ../xafsdata/fe.060\n",
"filename fe.060\n",
"header ['XDAC V1.2 Datafile V1', '\"fe.060\" created on 10/3/02 at 10:20:36 PM on X-11A', 'Ring energy= 2.58 GeV', 'E0= 7112.00', 'NUM_REGIONS= 3', 'SRB= -200 -20 20 22k', 'SRSS= 5 0.5 0.05k', 'SPP= 2 2 2', 'Settling time= 0.50', 'Offsets= 9925.80 9914.40', 'Gains= 7.00 7.00', 'Iron foil, I0: 50%N2, It:N2', '--------------------------------------------------------------------------------', 'Energy I0 It']\n",
"data [[ 6911.98862 6916.99353 6922.006 ... 8946.20242 8954.56525\n",
" 8962.94414]\n",
" [41410.4 41396.4 41300.4 ... 15193.4 15164.4\n",
" 15103.4 ]\n",
" [39622.2 39720.2 39729.2 ... 6687.2 6708.2\n",
" 6716.2 ]]\n",
"array_labels ['energy', 'i0', 'it']\n",
"attrs \n",
"energy [6911.98862 6916.99353 6922.006 6927.0007 6932.00293 6937.01271\n",
" 6942.00457 6947.00394 6952.01083 6956.99966 6961.99597 6966.99978\n",
" 6972.0111 6977.0042 6982.00476 6987.01281 6992.00249 6996.99961\n",
" 7002.00419 7006.99026 7012.00977 7017.01072 7021.99301 7027.00883\n",
" 7032.00595 7037.01049 7041.9962 7046.98928 7051.98975 7056.99763\n",
" 7062.01293 7067.00921 7072.01286 7076.99738 7081.98922 7086.98841\n",
" 7091.99496 7092.50135 7093.00782 7093.4877 7093.99431 7094.501\n",
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" 7216.66831 7218.65862 7220.67774 7222.72571 7224.8026 7226.88073\n",
" 7228.98783 7231.09622 7233.23365 7235.40018 7237.56806 7239.76511\n",
" 7241.99139 7244.21909 7246.4761 7248.76245 7251.05031 7253.3676\n",
" 7255.68643 7258.03477 7260.41268 7262.7922 7265.20138 7267.64025\n",
" 7270.08083 7272.52312 7275.02332 7277.5253 7280.02908 7282.59097\n",
" 7285.12656 7287.72039 7290.31614 7292.94206 7295.56995 7298.2281\n",
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" 7317.31827 7320.13525 7322.95448 7325.80448 7328.68532 7331.53996\n",
" 7334.45407 7337.37059 7340.31816 7343.26818 7346.24935 7349.26173\n",
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" 7370.767 7373.91592 7377.06764 7380.28006 7383.46642 7386.71364\n",
" 7389.9348 7393.21699 7396.50222 7399.79047 7403.11091 7406.46361\n",
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" 7951.19581 7956.84222 7962.5308 7968.2278 7973.9672 7979.71515\n",
" 7985.47166 7991.23676 7997.04465 8002.86126 8008.68662 8014.55508\n",
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" 8863.53143 8871.73639 8879.91455 8888.15068 8896.35993 8904.62741\n",
" 8912.91068 8921.20976 8929.52472 8937.85559 8946.20242 8954.56525\n",
" 8962.94414]\n",
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" 32451.4 32468.4 32476.4 32520.4 32500.4 32485.4 32478.4 32444.4 32397.4\n",
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" 31646.4 31538.4 31539.4 31488.4 31398.4 31341.4 31133.4 31200.4 31078.4\n",
" 31096.4 30576.4 30999.4 30958.4 30980.4 30927.4 30933.4 30892.4 30848.4\n",
" 30778.4 30687.4 30618.4 30546.4 30383.4 30672.4 30407.4 30287.4 30210.4\n",
" 30148.4 30114.4 30091.4 30147.4 29519.4 27643.4 28181.4 28691.4 28729.4\n",
" 28703.4 28663.4 28611.4 28612.4 28630.4 28708.4 28740.4 28694.4 28618.4\n",
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" 28210.4 28129.4 28016.4 27987.4 27892.4 27697.4 27644.4 27577.4 27554.4\n",
" 27513.4 27415.4 27298.4 27207.4 27160.4 27118.4 27100.4 27016.4 26958.4\n",
" 26986.4 26980.4 26888.4 26928.4 26799.4 26646.4 26446.4 26282.4 26056.4\n",
" 25892.4 25695.4 25529.4 25369.4 25129.4 25111.4 25038.4 24970.4 24861.4\n",
" 24711.4 24601.4 24412.4 24369.4 24146.4 24002.4 23903.4 23726.4 23661.4\n",
" 23617.4 23560.4 23474.4 23412.4 23321.4 23279.4 23240.4 23195.4 23145.4\n",
" 23053.4 22750.4 22895.4 22772.4 22624.4 22485.4 22433.4 22407.4 22371.4\n",
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" 21489.4 21713.4 21618.4 21454.4 21283.4 21156.4 21008.4 20958.4 20888.4\n",
" 20826.4 20684.4 20734.4 20696.4 20615.4 20497.4 20454.4 20318.4 20364.4\n",
" 20367.4 20423.4 20518.4 20577.4 20645.4 20591.4 20567.4 20469.4 20478.4\n",
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" 19934.4 19911.4 19928.4 19914.4 19893.4 19800.4 19678.4 19471.4 19456.4\n",
" 19428.4 19330.4 19245.4 19122.4 18971.4 18824.4 18533.4 18454.4 18414.4\n",
" 18066.4 17895.4 17796.4 17639.4 17519.4 17462.4 17575.4 17337.4 17123.4\n",
" 17254.4 16996.4 14785.4 17379.4 17089.4 16912.4 16738.4 16586.4 16346.4\n",
" 16391.4 16161.4 16111.4 16033.4 15222.4 15724.4 15670.4 15529.4 15465.4\n",
" 15340.4 15242.4 15296.4 15247.4 15193.4 15164.4 15103.4]\n",
"it [39622.2 39720.2 39729.2 39769.2 39791.2 39605.2 39881.2 39936.2 39941.2\n",
" 40000.2 40064.2 40135.2 40062.2 40096.2 40025.2 39929.2 39964.2 39975.2\n",
" 39976.2 39974.2 39949.2 39871.2 39900.2 39839.2 39780.2 39730.2 39635.2\n",
" 39057.2 39313.2 39128.2 38915.2 38671.2 38265.2 38655.2 38501.2 38388.2\n",
" 38274.2 38247.2 38253.2 38227.2 38187.2 38165.2 38121.2 38093.2 38050.2\n",
" 38024.2 37982.2 37913.2 37835.2 37760.2 37668.2 37587.2 37434.2 37260.2\n",
" 37078.2 36901.2 36505.2 36038.2 35603.2 34772.2 33255.2 31037.2 27149.2\n",
" 23619.2 20828.2 18917.2 17605.2 16485.2 15601.2 14830.2 14426.2 14157.2\n",
" 13960.2 13724.2 13212.2 12414.2 11367.2 10262.2 9252.2 8279.2 7425.2\n",
" 6547.2 5918.2 5354.2 4925.2 4624.2 4329.2 4120.2 3909.2 3730.2\n",
" 3584.2 3432.2 3302.2 3153.2 3003.2 2842.2 2661.2 2495.2 2323.2\n",
" 2172.2 2045.2 1962.2 1933.2 1967.2 2043.2 2165.2 2302.2 2446.2\n",
" 2588.2 2699.2 2803.2 2872.2 2922.2 2944.2 2942.2 2916.2 2780.2\n",
" 2679.2 2602.2 2577.2 2598.2 2638.2 2661.2 2631.2 2546.2 2422.2\n",
" 2288.2 2199.2 2146.2 2107.2 2081.2 2079.2 2101.2 2137.2 2161.2\n",
" 2167.2 2168.2 2176.2 2205.2 2241.2 2269.2 2288.2 2303.2 2327.2\n",
" 2371.2 2446.2 2551.2 2674.2 2804.2 2922.2 2985.2 2985.2 2951.2\n",
" 2882.2 2767.2 2633.2 2508.2 2379.2 2260.2 2206.2 2239.2 2337.2\n",
" 2488.2 2673.2 2889.2 3106.2 3250.2 3247.2 3056.2 2699.2 2287.2\n",
" 1914.2 1653.2 1528.2 1543.2 1693.2 1948.2 2261.2 2607.2 2972.2\n",
" 3272.2 3448.2 3502.2 3443.2 3303.2 3143.2 3019.2 2974.2 3006.2\n",
" 3089.2 3161.2 3088.2 3083.2 2983.2 2927.2 2871.2 2744.2 2574.2\n",
" 2465.2 2433.2 2380.2 2242.2 2167.2 2072.2 2085.2 2266.2 2541.2\n",
" 2815.2 3040.2 3221.2 3359.2 3440.2 3432.2 3388.2 3383.2 3395.2\n",
" 3401.2 3383.2 3373.2 3392.2 3476.2 3581.2 3626.2 3569.2 3402.2\n",
" 3182.2 2976.2 2788.2 2614.2 2481.2 2388.2 2368.2 2415.2 2548.2\n",
" 2819.2 3245.2 3698.2 3947.2 3954.2 3844.2 3721.2 3644.2 3637.2\n",
" 3581.2 3656.2 3591.2 3568.2 3586.2 3653.2 3753.2 3792.2 3775.2\n",
" 3741.2 3636.2 3463.2 3286.2 3172.2 3142.2 3159.2 3188.2 3263.2\n",
" 3401.2 3555.2 3675.2 3759.2 3859.2 4004.2 4122.2 4190.2 4173.2\n",
" 4103.2 4030.2 3985.2 3982.2 4011.2 4023.2 4011.2 3979.2 3953.2\n",
" 3971.2 4019.2 4072.2 4117.2 4095.2 4004.2 3897.2 3841.2 3867.2\n",
" 3940.2 4098.2 4239.2 4332.2 4374.2 4368.2 4330.2 4303.2 4297.2\n",
" 4402.2 4444.2 4428.2 4359.2 4315.2 4337.2 4388.2 4496.2 4562.2\n",
" 4613.2 4560.2 4636.2 4609.2 4567.2 4512.2 4473.2 4441.2 4458.2\n",
" 4510.2 4565.2 4605.2 4638.2 4672.2 4791.2 4822.2 4842.2 4829.2\n",
" 4817.2 4820.2 4843.2 4870.2 4770.2 4486.2 4619.2 4768.2 4835.2\n",
" 4868.2 4895.2 4920.2 4949.2 4960.2 4973.2 4975.2 4977.2 4985.2\n",
" 4837.2 5024.2 5021.2 5035.2 5058.2 5077.2 5102.2 5137.2 5182.2\n",
" 5215.2 5252.2 5275.2 5304.2 5309.2 5312.2 5343.2 5357.2 5382.2\n",
" 5409.2 5434.2 5439.2 5420.2 5415.2 5432.2 5463.2 5483.2 5492.2\n",
" 5503.2 5501.2 5508.2 5561.2 5574.2 5573.2 5562.2 5564.2 5558.2\n",
" 5558.2 5549.2 5550.2 5546.2 5531.2 5570.2 5596.2 5631.2 5662.2\n",
" 5668.2 5672.2 5645.2 5637.2 5583.2 5565.2 5569.2 5569.2 5597.2\n",
" 5615.2 5621.2 5626.2 5641.2 5653.2 5674.2 5690.2 5721.2 5757.2\n",
" 5778.2 5737.2 5803.2 5804.2 5801.2 5804.2 5841.2 5877.2 5900.2\n",
" 5920.2 5919.2 5915.2 5927.2 5931.2 5951.2 5971.2 5991.2 6009.2\n",
" 5943.2 6030.2 6037.2 6029.2 6015.2 6015.2 6010.2 6035.2 6050.2\n",
" 6064.2 6063.2 6119.2 6149.2 6162.2 6163.2 6183.2 6178.2 6225.2\n",
" 6253.2 6299.2 6358.2 6409.2 6464.2 6489.2 6522.2 6525.2 6560.2\n",
" 6597.2 6605.2 6632.2 6663.2 6681.2 6692.2 6708.2 6720.2 6732.2\n",
" 6762.2 6792.2 6836.2 6871.2 6902.2 6910.2 6911.2 6878.2 6911.2\n",
" 6935.2 6934.2 6935.2 6921.2 6901.2 6884.2 6814.2 6824.2 6843.2\n",
" 6753.2 6725.2 6720.2 6696.2 6685.2 6701.2 6780.2 6720.2 6670.2\n",
" 6756.2 6691.2 5854.2 6924.2 6847.2 6811.2 6777.2 6749.2 6684.2\n",
" 6738.2 6682.2 6698.2 6703.2 6399.2 6642.2 6655.2 6632.2 6637.2\n",
" 6617.2 6608.2 6665.2 6676.2 6687.2 6708.2 6716.2]\n"
]
}
],
"source": [
"# Iterating over the group with the items\n",
"\n",
"for key, value in data.items():\n",
" print(key, value)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Iterating over Athena Groups\n",
"\n",
"Athena groups read from Athena project files has a different structure of the Group class.\n",
"There for iteration of Athena Groups are modified to be iterate over subgroups of Athena groups."
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"aprjfile = os.path.join(\"..\", \"pca\", \"cyanobacteria.prj\")\n",
"aprj = read_athena(aprjfile)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Iteration over the group will iterate over the keys in the group\n",
"d_0_12\n",
"d_2_42\n",
"d_4_73\n",
"d_7_03\n",
"d_9_33\n",
"d_20\n",
"d_33\n",
"d_720\n",
"Au_foil\n",
"Au1_Cl\n",
"Au3_Cl_aq\n",
"Au_hydroxide\n",
"Au_cyanide\n",
"Au_thiocyanide\n",
"Au_sulphide\n",
"Au_thiosulphate_aq\n",
"Au_thiomalate_aq\n",
"\n",
"\n",
"The keys can also be accessed using the keys() method\n",
"d_0_12\n",
"d_2_42\n",
"d_4_73\n",
"d_7_03\n",
"d_9_33\n",
"d_20\n",
"d_33\n",
"d_720\n",
"Au_foil\n",
"Au1_Cl\n",
"Au3_Cl_aq\n",
"Au_hydroxide\n",
"Au_cyanide\n",
"Au_thiocyanide\n",
"Au_sulphide\n",
"Au_thiosulphate_aq\n",
"Au_thiomalate_aq\n"
]
}
],
"source": [
"# Iteration of the group will have iterate over the keys in the group\n",
"# keys can also be accessed using the keys() method\n",
"\n",
"print(\"Iteration over the group will iterate over the keys in the group\")\n",
"for key in aprj:\n",
" print(key)\n",
" \n",
"print(\"\\n\")\n",
"\n",
"print(\"The keys can also be accessed using the keys() method\")\n",
"for key in aprj.keys():\n",
" print(key)\n",
" \n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n"
]
}
],
"source": [
"# Iterating over the group with the values\n",
"# the iteration over value will give a reference to the subgroups in the group\n",
"\n",
"for value in aprj.values():\n",
" print(value)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"d_0_12 \n",
"d_2_42 \n",
"d_4_73 \n",
"d_7_03 \n",
"d_9_33 \n",
"d_20 \n",
"d_33 \n",
"d_720 \n",
"Au_foil \n",
"Au1_Cl \n",
"Au3_Cl_aq \n",
"Au_hydroxide \n",
"Au_cyanide \n",
"Au_thiocyanide \n",
"Au_sulphide \n",
"Au_thiosulphate_aq \n",
"Au_thiomalate_aq \n"
]
}
],
"source": [
"# Iterating over the group with the items\n",
"\n",
"for key, value in aprj.items():\n",
" print(key, value)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Application of the iteration method\n",
"\n",
"Iteration over the groups will provide a easy way to deal with multiple data sets."
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# plotting all the subgroups in the athena project file\n",
"\n",
"import matplotlib.pyplot as plt\n",
"\n",
"for key, group in aprj.items():\n",
" plt.plot(group.energy, group.mu, label=key)\n",
"\n",
"plt.xlabel('Energy (eV)')\n",
"plt.ylabel('mu')\n",
"plt.legend(loc='upper left', bbox_to_anchor=(1, 1))\n",
"plt.plot()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "xraylarch",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.3"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}