Miladiouss

from pathlib import Path
import yaml

here = Path(__file__).resolve().parent

with open(here / './config.yaml', 'r') as stream:
    config_dict = yaml.safe_load(stream)


class Struct:

Miladiouss

import plotly.graph_objects as go
fig = go.Figure()

xdata = [(1 - 1/i) for i in range(1, 15)]

fig.add_trace(go.Scatter(
    x=xdata, y=len(xdata)*[0], mode='markers', marker_size=10, marker_color='red'
))
fig.update_xaxes(showgrid=False)
fig.update_yaxes(showgrid=False, 

Miladiouss

import plotly.graph_objects as go
from time import sleep
import numpy as np

fig = go.FigureWidget()
# Display in Jupyter:
display(fig)
sleep(.25)

fig.add_trace(go.Scatter(x=[0], y=[0]))

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from astropy.modeling.polynomial import SIP
import itertools
from astropy.io.fits.header import Header

def get_sip_coeffs(hdr: Header  , kind='A') -> dict:
    """Return a SIP polynomial coefficients for the selected
     coefficient type: (A, B, AP, BP).

    Parameters
    ----------

Miladiouss

# Science
import numpy as np
from astropy.units import Unit

# Notebook
from IPython.display import Markdown
from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.ast_node_interactivity = "all"

# Handy functions

Miladiouss

import plotly.graph_objects as go
import numpy as np
from scipy.special import gamma
from pathlib import Path

here = Path(__file__).parent
filename = Path(__file__).stem

xdata = np.linspace(-5, 5, 1000)
ydata = gamma(xdata)

Miladiouss

convert -resize 800x800 -delay 25 -loop 0 image-file-*.png animation.gif

Miladiouss

from time import sleep, time
import numpy as np
from astropy import wcs

w = wcs.WCS(naxis=2)
w.wcs.ctype = ["RA---SIN","DEC--SIN"]
w.wcs.cdelt = (6.2/3600, 6.2/3600)
w.wcs.crval = (30, 60)
w.wcs.crota = (0, 15)
# ----------------------------------------    

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"""
Author: Miladious
Latest Modification Date: Oct 11, 2019
About: 
Creating a publication quality figure using matplotlib requires a lot of tweaks.
In this gist, I show the main tweaks for creating publication quality plots. 
This is an example how one would plot astronomical images in python. 
Feel free to modify to your field's standards.
"""

Miladiouss

# https://gist.github.com/Miladiouss/332b21e3c9d82ca2085b1396641cc80d
#-----------------------------------------------------------
# IPython
from IPython.core.interactiveshell import InteractiveShell
from IPython.display import clear_output
InteractiveShell.ast_node_interactivity = "all"
from IPython import display

#-----------------------------------------------------------
# Scientific