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Created page with "<syntaxhighlight lang="bash"> pip install pandas pip install gapminder </syntaxhighlight><syntaxhighlight lang="python3"> from gapminder import gapminder as df df.groupby('yea..."
<syntaxhighlight lang="bash">
pip install pandas
pip install gapminder
</syntaxhighlight><syntaxhighlight lang="python3">
from gapminder import gapminder as df
df.groupby('year')['lifeExp'].mean()
grouped_year_df = df.groupby('year')
grouped_year_df_lifeExp = grouped_year_df['lifeExp']
grouped_year_df_lifeExp.mean()
df.groupby(['year', 'continent'])[['lifeExp', 'gdpPercap']].mean()
df.groupby('continent')['country'].nunique()
global_yearly_life_expectancy = df.groupby('year')['lifeExp'].mean()
</syntaxhighlight>
[[Category:Python]]
[[Category:DataScience]]
[[Category:Pandas]]
pip install pandas
pip install gapminder
</syntaxhighlight><syntaxhighlight lang="python3">
from gapminder import gapminder as df
df.groupby('year')['lifeExp'].mean()
grouped_year_df = df.groupby('year')
grouped_year_df_lifeExp = grouped_year_df['lifeExp']
grouped_year_df_lifeExp.mean()
df.groupby(['year', 'continent'])[['lifeExp', 'gdpPercap']].mean()
df.groupby('continent')['country'].nunique()
global_yearly_life_expectancy = df.groupby('year')['lifeExp'].mean()
</syntaxhighlight>
[[Category:Python]]
[[Category:DataScience]]
[[Category:Pandas]]