Created
February 6, 2023 13:19
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| import gspread | |
| from collections import Counter | |
| import helpers | |
| from importlib import reload | |
| reload (helpers) | |
| SHEET_ID = "1kFU8Lxy0qtFyi-Nc7DW8UV9gQbDq-bwhAe6X1notkg0" | |
| SHEET_NAME = "nauka" | |
| gc = gspread.service_account("credentials.json") | |
| spreadsheet = gc.open_by_key(SHEET_ID) | |
| worksheet = spreadsheet.worksheet(SHEET_NAME) | |
| rows = worksheet.get_all_records() | |
| popularity = { | |
| "level": list(), | |
| } | |
| line_count = 0 | |
| for row in rows: | |
| row_values = list(row.values()) | |
| if line_count == 0: | |
| line_count += 1 | |
| else: | |
| for idx, cell in enumerate(row_values): | |
| split = cell.split(",") | |
| split = list(map(helpers.trim_answer, split)) | |
| if split[0] == '': | |
| continue | |
| if idx == 6: | |
| popularity["level"] += split | |
| line_count += 1 | |
| countsLevel = Counter(popularity["level"]) | |
| countsRegular = helpers.group_by_level(countsLevel, "Regular", ["Regular Developer (3-5 lata<br>dosw. komercyjnego)", "Senior (5+ lat dosw.<br>komercyjnego)"]); | |
| countsJunior = helpers.group_by_level(countsLevel, "Junior", ["Junior Developer (1-2 lata<br>dosw. komercyjnego)", "Regular Developer (3-5 lata<br>dosw. komercyjnego)", "Senior (5+ lat dosw.<br>komercyjnego)"]); | |
| import kaleido | |
| import pandas as pd | |
| import plotly.express as px | |
| import plotly.graph_objects as go | |
| helpers.generatePie(countsLevel.values(), list(countsLevel), "Poziom doswiadczenia. Probka widzow: " + str(line_count), "percent+label+value") | |
| helpers.generatePie(countsRegular.values(), list(countsRegular), "Poziom doswiadczenia: Regular+ i Pre-Regular") | |
| helpers.generatePie(countsJunior.values(), list(countsJunior), "Poziom doswiadczenia: Junior+ i Pre-Junior") |
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| 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) |
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