Ze1598

import quotespy.graphics.graphics as g

custom_settings = {
    "font_family": "Inkfree.ttf",
    "font_size": 200,
    "size": [3840, 2160],
    "color_scheme": ["#000000", "#ffffff"],
    "wrap_limit": 32,
    "margin_bottom": 250,
}

Ze1598

[mistakes]
Some mistakes and, dare I say, failures may lead to results you had never thought you could achieve

[strange days]
Say goodbye to the silence, we can dance to the sirens

Ze1598

{
    "mistakes": "Some mistakes and, dare I say, failures may lead to results you had never thought you could achieve",
    "strange_days": "Say goodbye to the silence, we can dance to the sirens"
}

Ze1598

import quotespy.graphics.graphics as g

graphic_info = {
    "title": "strange_days", 
    "text": "Say goodbye to the silence, we can dance to the sirens"
}

custom_settings = {
    "font_family": "Inkfree.ttf", 
    "font_size": 250, 

Ze1598

import quotespy.graphics.graphics as g

graphic_info = {
    "title": "strange_days", 
    "text": "Say goodbye to the silence, we can dance to the sirens"
}

g.create_graphic(graphic_info, {}, default_settings_format="lyrics")

Ze1598

options = ["terrible", "bad", "so-so", "good", "excellent"]
map_options = [1, 2, 3, 4, 5]

evaluations = create_evaluations(options, map_options, 200)

plot_column_chart(
    evaluations,
    options,
    "Evaluations' frequency",
    ["Evaluations", None],

Ze1598

work_hours = pd.Series(np.random.random_sample(200,)) * 72 + 8

work_hours_binned = bin_work_hours(work_hours)

plot_histogram(
    work_hours_binned,
    10,
    "Work Week Hours binned",
    ["Work week hours", None]
)

Ze1598

ages = pd.Series(np.random.randint(low=0, high=99, size=200))

ages_binned = bin_ages(ages)

plot_histogram(
    ages_binned,
    10,
    "Ages binned",
    ["Ages", None]
)

Ze1598

import pandas as pd
import numpy as np
import plotly.express as px
from typing import List, Union


def create_evaluations(
    categories: List[str],
    mapping_values: List[str],
    length: int

Ze1598

import pandas as pd
import numpy as np
import plotly.express as px
from typing import List, Union


def bin_work_hours(work_hours_series: pd.Series) -> pd.Series:
    work_hours_labels = [f"[{i}, {i+8})" for i in range(8, 73, 8)]

    work_hours_bins = pd.IntervalIndex.from_tuples(