moritzkoerber

terraform {
  required_providers {
    azurerm = {
      source  = "hashicorp/azurerm"
      version = ">=3.81.0"
    }
    azuredevops = {
      source  = "microsoft/azuredevops"
      version = ">= 0.10.0"
    }

moritzkoerber

import yaml
import great_expectations as ge
import os
from great_expectations.cli.datasource import sanitize_yaml_and_save_datasource
from great_expectations.core.batch import BatchRequest
from great_expectations.core.expectation_configuration import ExpectationConfiguration
from contextlib import suppress

project_dir = f"{os.getcwd()}/own_de_project/great_expectations"

moritzkoerber

name: Manual PyPi Release

on:
  workflow_dispatch:
    inputs:
      package_repository:
        description: '"testpypi" or "pypi"'
        required: true
      tag:
        required: true

moritzkoerber

import plotly.graph_objects as go

fig = go.Figure()

fig.update_layout(
    template="simple_white",
    xaxis=dict(title_text="Week"),
    yaxis=dict(title_text="Count"),
    barmode="stack",
)

moritzkoerber

import pandas as pd

df = pd.DataFrame(
    dict(
        week=[1, 1, 2, 2, 3, 3] * 2,
        layout=["classic", "classic", "modern", "modern"] * 3,
        response=["conversion", "exit"] * 6,
        cnt=[26, 23, 45, 34, 55, 44, 53, 27, 28, 25, 30, 34],
    )
)

moritzkoerber

def convert_to_sixpack(x):
    return x / 6


fig.update_layout(
    updatemenus=[
        dict(
            type="buttons",
            direction="right",
            x=0.7,

moritzkoerber

df["scoops"] = df["ice_cream_cones"] * 2

fig.update_layout(
    updatemenus=[
        dict(
            type="buttons",
            direction="right",
            x=0.7,
            y=1.2,
            showactive=True,

moritzkoerber

fig.update_layout(
    updatemenus=[
        dict(
            type="buttons",
            direction="right",
            x=0.7,
            y=1.2,
            showactive=True,
            buttons=list(
                [

moritzkoerber

import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(
    go.Scatter(
        x=df.temperature,
        y=df.ice_cream_cones,
        name="Ice Cream",
        marker_color="#2457BD",

moritzkoerber

import pandas as pd

df = pd.DataFrame(
    dict(temperature=[24, 26, 28], ice_cream_cones=[14, 20, 23], drinks=[18, 22, 28])
)