simple line chart showing the average price of gas fees on ethereum.

eth_avg_gas_price.csv

eth_avg_gas_price.py

import plotly.graph_objects as go
from plotly.subplots import make_subplots
import datapane as dp 
import numpy as np
import pandas as pd

df = pd.read_csv('../data/eth_avg_gas_price.csv')
df['Date(UTC)'] = pd.to_datetime(df['Date(UTC)'])

fig = go.Figure()
# Add traces
fig.add_trace(
    go.Scatter(
        x=df['Date(UTC)'], 
        y=df['Value (Wei)'], 
        name="Gas Fee",
        hovertemplate = "Gas Fee (in Wei): %{y}",
    ),

)
# Add figure title
fig.update_layout(
    title_text="Average Gas Fee per Day<br />On Ethereum"
)

# Set x-axis title
fig.update_xaxes(title_text="Date")

# # Set y-axes titles
fig.update_yaxes(title_text="Average Gas Price (in Wei)")

report = dp.Report(dp.Plot(fig) ) #Create a report
report.upload(
    name='Average Gas Price per Day on Ethereum', 
    open=True, 
    description="Line chart showing the average gas price on ethereum per day. Data is sourced from etherscan.io (https://etherscan.io/chart/gasprice).",
    visibility='PUBLIC'
)