def main(*args):
channel_list_file_path = args[0]
channel_list = channel_module.get_channel_list(channel_list_file_path)
_convert_channel_data(channel_list)
_convert_video_data(channel_list)
_convert_date_series_video_view_data(channel_list)
_convert_posting_interval(channel_list)
def main(*args):
channel_list_file_path = args[0]
channel_list = channel_module.get_channel_list(channel_list_file_path)
for channel_id in channel_list:
print(f"Download video list for channel ID: {channel_id} .")
channel_data = channel_module.load_channel_from_file(channel_id)
channel_data["videos"] = _fetch_all_videos_by_channel_id(channel_id)
file_path = f"{settings.OUTPUT_DIR}/{channel_id}.json"
_save_to_file(file_path, channel_data)
def main(*args):
channel_list_file_path = args[0]
channel_list = channel_module.get_channel_list(channel_list_file_path)
for channel_id in channel_list:
print(f"Download video statistics for channel ID: {channel_id} .")
channel_detail = channel_module.load_channel_from_file(channel_id)
video_list = _fetch_videos_by_channel_id(channel_id)
if not video_list:
continue
videos = list(map(lambda v: _build_data(v), video_list))
channel_detail["videos"] = videos
file_path = f"{settings.OUTPUT_DIR}/{channel_id}.json"
_save_to_file(file_path, channel_detail)
from bokeh.io import save, output_file
from bokeh.models.widgets import DataTable, TableColumn
from bokeh.models import ColumnDataSource
from bokeh.layouts import widgetbox
import pandas as pd
import modules.channel_module as channel_module
channel_list_file_path = "./list.txt"
channel_list = channel_module.get_channel_list(channel_list_file_path)
output_file("make_table_posting_interval.html")
df = pd.read_csv("./output/posting_interval.csv")
source = ColumnDataSource(df)
columns = [
TableColumn(field="Channel", title="Channel"),
TableColumn(field="ViewCount", title="ViewCount"),
TableColumn(field="SubscriberCount", title="SubscriberCount"),
TableColumn(field="VideCount", title="VideCount"),
TableColumn(field="PostingInterval", title="PostingInterval"),
]
data_table = DataTable(
source=source, columns=columns, fit_columns=True, width=1300, height=800
)
save(widgetbox([data_table], sizing_mode="scale_both"))