Repository files navigation

support pyXspec on jupyter with matplotlib

1. clone this repository to local:git clone https://github.com/TomoTom0/yt_pyXspec.git
2. move to the cloned directory, local install withpip in the established mode at the same hierarchy assetup.py:pip install -e .

In order to use fonts in matplotlib, you must do the following operation once.

# bashsudo apt install msttcorefonts -qqrm~/.cache/matplotlib -rf

# pythonimportmatplotlibmatplotlib.font_manager._rebuild()

• Tutorial 01: Load & Plot
• Tutorial 02: Show & Obtain

For example,

importos,glob2,reimportyt_pyXspec# working directory pathdir_path=os.environ["HOME"]+"/XXXXXXXXXXX/fit"# how to define a graph title from the xcm path# if title_func or its return value is None, there is no titledeftitle_func(xcm_path):#return (["double_pow"+s for s in re.findall(r"\d{4}-\d{2}-\d{2}", os.path.split(xcm_path)[1])]+[None])[0]returnos.path.split(xcm_path)[1]# how to define a image path from the xcm path# if exportImagePath_func or its return value is None, there is no export filedefexportImagePath_func(xcm_path):#return "graph_eeu-del_"+(re.findall(r"\d{4}-\d{2}-\d{2}", os.path.split(xcm_path)[1])+[None])[0]+".pdf"returnos.path.split(xcm_path)[1].replace(".xcm",".pdf")# automatically chage directory to dir_pathytpx=yt_pyXspec.Ytpx(dir_path)# select xcm paths whose plot you want to export as image file# in the appropriate method; glob2.glob("all_doublePow*2022-04-*.xcm")xcm_paths=["AAAA.xcm","BBBB.xcm"]# plot graph from xcm paths and export as image file# plots allow "eeu", "eem", "ld", "del", "ratio"fig_axs_dic=ytpx.plot_datass_fromXcms(xcms=xcm_paths,title_func=title_func,exportImagePath_func=exportImagePath_func,plots=["eeu","del"])

• iterable;["eeu", "ld"]
• plot graphs of the inputed type
• recommended values are"eeu", "eem", "ld", "del", "ratio"

• iterable;[range_min, range_max]
• a range of x-axis
• if not inputted, the range is determined by the value of data

• dict;{"eeu": [range_min, range_max], "ld":[range_min, range_max]}
• ranges of y-axis for plot types
• if not inputted, the range is determined by the value of data

• iterable;["royalblue", "red", "oliverdrab"]
• a color set of plot
• check the reference of matplotlib to know valid values

• iterable;["^", "o", "+"]
• a marker set of plot
• check the reference of matplotlib.pyplot.scatter to know valid values

• dict{"eeu": datass}
• if not inputted, datas_s are obtained from the present pyXspec environments
• if you useplot_datass_fromXcms, you should not inputdatass

• str"/home/XXXXXXXXXXX/AAA.pdf"
• if not inputed, a image of the graph is not exported
• check the reference of matplotlib.pyplot.figure.savefig to know allowed extensions
• if you useplot_datas_fromXcms, you should useexportImagePath_func

• str"AAAAAAA"
• a title on the top of the graph
• if not inputed, there is no title
• if you useplot_datas_fromXcms, you should usetitle_func

• legends_dic

• legends_sort

• flag_dataPlot: True

• flag_modelPlot: True

• flag_compPlot: True

• flag_modelStep: False

• marker_size_data: 0

• elinewith_data: 1

• marker_size_mdoel: 0

• elinewidth_model: 0.5

email:tomoIris427+Github@gmail.com

MIT