| import gradio as gr |
| import matplotlib.pyplot as plt |
| from matplotlib.dates import date2num |
| import numpy as np |
| import io |
| from PIL import Image |
| import pandas as pd |
|
|
| def countvis(fobj): |
|
|
| df = pd.read_csv(fobj.name, sep=",") |
|
|
| dates = pd.to_datetime(df['date']).dt.date.tolist() |
| dates.sort() |
|
|
| |
| min_date = date2num(dates[0]) |
| max_date = date2num(dates[-1]) |
| days = int(max_date - min_date + 1) |
|
|
| |
| x = np.arange(min_date, max_date + 1) |
| y = np.zeros(days) |
|
|
| |
| for date in dates: |
| index = int(date2num(date) - min_date) |
| y[index] += 1 |
| y_sum = np.cumsum(y) |
|
|
| |
| plt.figure(dpi=200) |
| plt.plot_date(x, y_sum, xdate=True, ydate=False, ls='-', ms=0, color='#16171E') |
| plt.fill_between(x, 0, y_sum, facecolor='#D0F3FF') |
| plt.xticks(rotation=15) |
| plt.title('Cumulative Growth') |
|
|
| img_buf = io.BytesIO() |
| plt.savefig(img_buf, format='png') |
| im = Image.open(img_buf) |
|
|
| return im |
|
|
| iface = gr.Interface(fn=countvis, inputs="file", outputs="image", allow_flagging="never") |
|
|
| iface.launch(debug="True") |
