Content creation Track connections
Tags: #metricsstore #metrics #content-creation #connections #content #snippet #plotly
Description: This notebook allows users to track connections related to content creation for the Metrics Store.
from naas_drivers import notion
import naas
import pandas as pd
import plotly.express as px
# Input
notion_token = "secret_ALstzXsSXoF9zbcUakMYE1OufXHVOkb35v1rYBTzz54"
notion_database = "https://www.notion.so/naas-official/37a23cbfaac5445690301dfd49f035d3?v=8ab1b2f3847d4067ac5ae19a799c7dcb"
# Output
output_html = "ContentCreator_No_connections.csv"
# Get database object
db_notion = notion.connect(notion_token).database.get(notion_database)
# Get database as dataframe
df_notion = db_notion.df()
df_notion.VALUE = df_notion.VALUE.astype(float)
df_notion
fig = px.line(data_frame=df_notion, x="DATE", y="VALUE", color="GROUP")
# add button control to chart
fig.update_layout(
title=f"🚀<b> Number of Connections</b><br><span style='font-size: 13px;'></span>",
title_font=dict(family="Arial", size=18, color="black"),
legend_title=None,
plot_bgcolor="#ffffff",
width=1200,
height=800,
paper_bgcolor="white",
xaxis_title="Date",
xaxis_title_font=dict(family="Arial", size=11, color="black"),
yaxis_title="No. of connections",
yaxis_title_font=dict(family="Arial", size=11, color="black"),
margin_pad=10,
updatemenus=[
dict(
active=0,
buttons=list(
[
dict(
label="Both",
method="update",
args=[{"visible": [True, True]}, {"title": "Both"}],
),
dict(
label="Twitter",
method="update",
args=[{"visible": [True, False]}, {"title": "Twitter"}],
),
dict(
label="Linkedin",
method="update",
args=[{"visible": [False, True]}, {"title": "Linkedin"}],
),
]
),
pad={"r": -80, "t": -40},
direction="down",
x=1,
xanchor="left",
y=1,
yanchor="top",
borderwidth=1,
bordercolor="black",
bgcolor=None,
),
],
)
fig.write_html(output_html)
naas.asset.add(output_html, params={"inline": True})
Last modified 1mo ago