Difference between revisions of "Pandas gapminder"

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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...")
Tag: visualeditor
 
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Tag: visualeditor
 
(One intermediate revision by the same user not shown)
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pip install pandas
 
pip install pandas
 
pip install gapminder
 
pip install gapminder
 +
pip install matplotlib
 
</syntaxhighlight><syntaxhighlight lang="python3">
 
</syntaxhighlight><syntaxhighlight lang="python3">
 
from gapminder import gapminder as df
 
from gapminder import gapminder as df
 +
import matplotlib.pyplot as plt
 +
 
df.groupby('year')['lifeExp'].mean()
 
df.groupby('year')['lifeExp'].mean()
  
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global_yearly_life_expectancy = df.groupby('year')['lifeExp'].mean()
 
global_yearly_life_expectancy = df.groupby('year')['lifeExp'].mean()
 +
 +
# Plot
 +
global_yearly_life_expectancy.plot()
 +
plt.show()
  
 
</syntaxhighlight>
 
</syntaxhighlight>

Latest revision as of 10:45, 21 May 2019

pip install pandas
pip install gapminder
pip install matplotlib
from gapminder import gapminder as df
import matplotlib.pyplot as plt

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()

# Plot
global_yearly_life_expectancy.plot()
plt.show()