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import numpy as np

np.set_printoptions(suppress=True)

stdevs = [i / 2 for i in range(1, 24 + 1)]
TRIALS = 1_000
WOMEN = 500_000

trial_results = {k: list() for k in stdevs}

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import pandas as pd

def analyze_data(df: pd.DataFrame):
    """This function lets the data speak for itself."""
    print(df)

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"""Run this file like this:

>>> python jinja_cli.py path/to/my/file.txt --foo bar

and it will render the file as a Jinja template with foo="bar".
"""
import os
import click  # pip install click
import jinja2  # pip install jinja2

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"""This module makes a class look like a function. The function is stored in
``self._func,`` and (most of) the function's properties are exposed in the
class's top-level. The biggest issue with the mixin is that ``__call__`` hides
the signature of the original function; I'm not sure how to address that.
"""


def _create_getter_and_setter(name: str):
    def getter(self):
        return getattr(self._func, name)

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"""Static Matplotlib Figures in Flask - Tutorial

To run:

1. Copy this file.
2. Make sure the dependencies are installed (see after the docstring)
3. Run in the command line: >>> python mpl_in_flask.py
4. Fire up your browser and view the site (default: http://127.0.0.1:5000/)

If you want to implement this solution:

ryxcommar

import os
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import us  # pip install us

# Data is available here: https://covidtracking.com/data/download
df = pd.read_csv(os.path.expanduser('~/Downloads/daily.csv'))

# Filter the data, rename stuff