Countries Publication Productivity

import pandas as pd
import plotly.express as px

data_path = 'Downloads/countries_etching.txt'
df = pd.read_csv(data_path, sep='\t')

country_replacements = {
    "PEOPLES R CHINA": "China",
    "USA": "United States",
    "ENGLAND": "United Kingdom",
    "USSR": "Russia",
    "FED REP GER": "Germany",
    "CZECHOSLOVAKIA": "Czech Republic",
    "UKSSR": "Ukraine",
    "GER DEM REP": "Germany",
    "TURKIYE": "Turkey",
    "YUGOSLAVIA": "Serbia",
    "WEST GERMANY": "Germany"
}

df['Countries/Regions'] = df['Countries/Regions'].replace(country_replacements)

fig = px.choropleth(
    df,
    locations='Countries/Regions',
    locationmode='country names',
    color='Record Count',
    hover_name='Countries/Regions',
    hover_data={'Record Count': True, '% of 5\xa0166': ':.2f'},
    color_continuous_scale=px.colors.sequential.Plasma,
    title='Publication Productivity of Countries in Electrochemical Etching',
    labels={'Record Count': 'Publications'},
    template='plotly_white'
)

fig.update_layout(
    title_x=0.5,
    geo=dict(
        showframe=False,
        showcoastlines=True,
        projection_type='natural earth'
    )
)

fig.show()