janpipek

/**
  * Simple jQuery utility for saving element values in localStorage.
  *
  * Usage: 
  *  - Add class "store-state" to the element you want to save.
  *  - Add id attribute to the element or specify your own storage key (attribute data-storage-name)
  *  - Add attribute "data-storage-name" to the element if you 
  *        want to control under which name the value will be stored
  *  - Add attribute "data-storage-noload" to suppress loading (will be stored though, it is 
  *        useful, when HTML-specified value is temporarily more important).

janpipek

import dicom
import h5py

def export_pixel_array(in_file, out_file, dataset_name="data"):
    pixel_array = dicom.read_file(in_file).pixel_array
    h5 = h5py.File(out_file)
    h5.create_dataset(dataset_name, data=pixel_array)
    h5.close()

janpipek

import numbers
from typing import Literal, Optional, Union

import numpy as np
import pandas as pd


def normalize_series(
    series: pd.Series,
    *,

janpipek

import numpy as np

def gamma_matrix(rm, tm, dta=1.0, dd=0.05):
    '''Compute matrix of gammma indices.

    :param rm: reference matrix (relative values assumed)
    :param tm: tested matrix (relative values assumed)
    :param dta: maximum distance-to-agreement (in voxels)
    :param dd: maximum dose difference

janpipek

import h5py
import os

def _report(operation, key, obj):
    type_str = type(obj).__name__.split(".")[-1].lower()
    print "%s %s: %s." % (operation, type_str, key)

def h5py_compatible_attributes(in_object):
    '''Are all attributes of an object readable in h5py?'''
    try:

janpipek

import matplotlib.pyplot as plt
import numpy as np

from draw import *
from data import *

fig, ax = plt.subplots(figsize=(20, 12))

nonwallcolor = "#c0c0c0"
    

janpipek

# 1. Spočítejte a nakreslete graf, jak se v průběhu let vyvíjel
# celkový počet udělených medailí (zvlášť pro zimní a letní hry).

import pandas as pd
import seaborn as sns

%matplotlib inline

olympics = pd.read_csv("athlete_events.csv")

janpipek

from bokeh.plotting import figure, show, output_notebook
from bokeh.models import HoverTool
from bokeh.tile_providers import Vendors, get_provider

import pandas as pd

def web_mercator(long, lat):
    import numpy as np
    scale_x = 4e7 / 360
    limit_lat = 2 * np.arctan(np.exp(np.pi)) - np.pi / 2

janpipek

import os
from typing import List, Optional

import pandas


class DataReader:
    def __init__(self, root_path: str):
        self.root_path = root_path

janpipek

class Jablko:
    def __init__(self):
        self.__bar = 123

    @staticmethod
    def show_me(o):
        print(o.__bar)

class IgnorePrivateMembers:
    def __getattr__(self, name: str):