flutefreak7

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I hereby claim:

• I am flutefreak7 on github.
• I am brettables (https://keybase.io/brettables) on keybase.
• I have a public key ASDuxfrIiBFgrsLv4VtJkq7gAY_iKW9gW1Dk5uBbrQezNQo

To claim this, I am signing this object:

flutefreak7

from PyQt5 import QtCore, QtWidgets
import sys
from multiprocessing import Process, Queue
from time import time
import vtk
from vtk.qt.QVTKRenderWindowInteractor import QVTKRenderWindowInteractor
import numpy as np
from time import sleep

flutefreak7

# intended for use in a Jupyter Notebook or similar.
import calendar
from calendar import HTMLCalendar
from IPython.display import HTML

# Based on https://stackoverflow.com/a/1458077/1639671
class HighlightedCalendar(HTMLCalendar):
    def __init__(self, highlight=[], *args, **kwargs):
        super().__init__(*args, **kwargs)
        self._highlight = highlight

flutefreak7

from PyQt5 import QtCore, QtWidgets
import qdarkstyle

import pyqtgraph as pg

qss_plot_widget = r'''
PlotWidget {
    padding: 0px;
}

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flutefreak7

import re
import numpy as np

def pandas_to_latex(df_table, latex_file, vertical_bars=False, right_align_first_column=True, header=True, index=False,
                    escape=False, multicolumn=False, **kwargs) -> None:
    """
    Function that augments pandas DataFrame.to_latex() capability.

    :param df_table: dataframe
    :param latex_file: filename to write latex table code to

flutefreak7

import numpy as np
from scipy.spatial import ConvexHull
from pyvista import PolyData

def polyhull(x, y, z):
    hull = ConvexHull(np.column_stack((x, y, z)))
    faces = np.column_stack((3*np.ones((len(hull.simplices), 1), dtype=np.int), hull.simplices)).flatten()
    poly = PolyData(hull.points, faces)
    return poly
    

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flutefreak7

import pandas as pd

data1 = pd.DataFrame({'A': [1, 2, 3, 4]}, index=[0, 1, 2, 3])
data2 = pd.DataFrame({'A': [10, 11, 12, 13]}, index=[2, 3, 4, 5])
data3 = data1.copy()
data3.update(data2)
print(data3)

data1 = pd.DataFrame({'A': [1, 2, 3, 4]}, index=[0, 1, 2, 3])
data2 = pd.DataFrame({'A': [10, 11, 12, 13]}, index=[2, 3, 4, 5])