Created
February 6, 2023 13:19
-
-
Save mkczarkowski/9991c0118efa9c865e33213d5de2e639 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import textwrap | |
| from unidecode import unidecode | |
| import kaleido | |
| import pandas as pd | |
| import plotly.express as px | |
| import plotly.graph_objects as go | |
| def trim_answer(str): | |
| return "<br>".join(textwrap.wrap(unidecode(str),width=30)).strip() | |
| def group_by_level(data, level, levelList): | |
| label = level + "+" | |
| pre_label = "Pre-" + level | |
| level = 0 | |
| pre_level = 0 | |
| for key, value in data.items(): | |
| if key in levelList: | |
| level += value | |
| else: | |
| pre_level += value | |
| return {label: level, pre_label: pre_level} | |
| def generatePie(values, names, title="", textinfo="percent+label"): | |
| dfPie = pd.DataFrame(dict(values=values, names=names)) | |
| fig = px.pie(dfPie, values="values", names="names", title=title) | |
| fig.update_traces(textposition="inside", textinfo=textinfo) | |
| fig.show(renderer="svg", width=800, height=800) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment