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 matplotlib.pyplot as plt
import numpy as np

from draw import *
from data import *

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

nonwallcolor = "#c0c0c0"
    

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

# 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

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

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

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

janpipek

import pandas as pd

def which(series):
    # Error handling omitted
    if not isinstance(series, pd.Series):
        series = pd.Series(series)
    return series[series.astype(bool) == True].index.tolist()
    
# Way to extend a Series
# See: https://pandas.pydata.org/pandas-docs/stable/development/extending.html#registering-custom-accessors

janpipek

# TODO: Přesunout někam jinam :-)
import pandas as pd

kolac = pd.Series(
    [1, 1, 1] * 2,
    index = ["mák", "tvaroh", "povidla"] * 2
)
ax = kolac.plot.pie(
    figsize=(8, 8),
    title="Koláčový graf",

janpipek

from statistics import mean, stdev

import timeit
import pyasn1

from pyasn1.codec.ber.decoder import decode as ber_decode
from pyasn1.codec.der.decoder import decode as der_decode
from pyasn1.type import namedtype
from pyasn1.type import univ
from pyasn1.compat.octets import ints2octs, str2octs, null

janpipek

{
  "$schema": "https://vega.github.io/schema/vega/v3.json",
  "width": 400,
  "height": 200,
  "padding": 5,
  "title": {
    "text": "3D normal distribution"
  },
  "scales": [
    {