eliasdabbas

import plotly.graph_objects as go
import pandas as pd

def serp_heatmap(df, num_domains=10, select_domain=None):
    df = df.rename(columns={'domain': 'displayLink',
                            'searchTerms': 'keyword'})
    top_domains = df['displayLink'].value_counts()[:num_domains].index.tolist()
    top_domains = df['displayLink'].value_counts()[:num_domains].index.tolist()
    top_df = df[df['displayLink'].isin(top_domains) & df['displayLink'].ne('')]

ESWZY

# Simplified version and explanation at: https://stackoverflow.com/a/64439347/12866353

import os
import ffmpeg

def compress_video(video_full_path, size_upper_bound, two_pass=True, filename_suffix='cps_'):
    """
    Compress video file to max-supported size.
    :param video_full_path: the video you want to compress.
    :param size_upper_bound: Max video size in KB.