scheithauer
scheithauer
/ echarts.py
Created
April 13, 2022 08:23
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| ( | |
| Boxplot() | |
| .add_xaxis( | |
| x_axis# | |
| ) | |
| .add_yaxis( | |
| "Population 2007", | |
| y_axis_pop2007 | |
| ) | |
| .add_yaxis( |
scheithauer
/ echarts.py
Created
April 13, 2022 08:22
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| x_axis = gapminder.sort_values("continent").continent.unique().tolist() | |
| y_axis_pop2007 = [] | |
| y_axis_pop1952 = [] | |
| for x in x_axis: | |
| pop07 = ( | |
| gapminder | |
| .query("continent == @x") | |
| .query("year == 2007") |
scheithauer
/ echarts.html
Created
April 13, 2022 08:21
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>Awesome-pyecharts</title> | |
| <script type="text/javascript" src="https://assets.pyecharts.org/assets/echarts.min.js"></script> | |
| </head> | |
| <body> | |
| <div id="0bd2f4c4114a460880b0ab7bd31c5491" class="chart-container" style="width:1024px; height:600px;"></div> |
scheithauer
/ echarts.py
Created
April 13, 2022 08:18
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| ( | |
| Bar( | |
| opts.InitOpts( | |
| #theme = ThemeType.DARK, | |
| width = "1024px", | |
| height = "600px" | |
| ) | |
| ) | |
| .add_xaxis(gap_by_continent.continent.tolist()) | |
| .add_yaxis( |
scheithauer
/ echarts.py
Created
April 13, 2022 08:17
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| gap_by_continent = ( | |
| gapminder | |
| .groupby("continent") | |
| .agg( | |
| pop_mean = ('pop', 'mean'), | |
| pop_sd = ('pop', 'std'), | |
| pop_median = ('pop', 'median'), | |
| le_mean = ('lifeExp', 'mean'), | |
| le_sd = ('lifeExp', 'std') | |
| ) |
scheithauer
/ echarts.py
Created
April 13, 2022 08:17
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| from pyecharts.charts import Bar | |
| from pyecharts.charts import Boxplot | |
| from pyecharts import options as opts | |
| import pandas as pd | |
| from gapminder import gapminder |
scheithauer
/ cp.py
Created
March 18, 2022 13:11
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| sns.set_palette(sns.color_palette(met_brewer.palettes.met_brew("Navajo", 5), as_cmap = True)) | |
| chart = sns.boxplot( | |
| data = gapminder.query('year == 2007').assign(popInMio = lambda x: x["pop"] / 1000000), | |
| y = "gdpPercap", x = "continent", | |
| hue = "continent" | |
| ) | |
| chart.set_ylabel("GDP per Capita") | |
| chart.set_xlabel("Continent") | |
| chart.get_legend().set_title("Continent") |
scheithauer
/ cp.py
Created
March 18, 2022 13:06
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| sns.set_palette(sns.color_palette(met_brewer.palettes.met_brew("Navajo", 5), as_cmap = True)) | |
| chart = sns.scatterplot( | |
| data = gapminder.query('year == 2007').assign(popInMio = lambda x: x["pop"] / 1000000), | |
| x = "gdpPercap", y = "lifeExp", | |
| hue = "continent", size = "popInMio", | |
| sizes=(50, 750) | |
| ) | |
| chart.set_xlabel("GDP per Capita") | |
| chart.set_ylabel("Life Expectancy") |
scheithauer
/ cp.py
Created
March 18, 2022 12:59
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| sns.set_palette(sns.color_palette(met_brewer.palettes.met_brew(name = "Cross", n = 100, brew_type = "continuous"), as_cmap = True)) | |
| chart = sns.scatterplot( | |
| data = gapminder.query('year == 2007').assign(popInMio = lambda x: x["pop"] / 1000000), | |
| x = "gdpPercap", y = "lifeExp", | |
| hue = "popInMio", size = "popInMio", | |
| sizes=(50, 750) | |
| ) | |
| chart.set_xlabel("GDP per Capita") |
scheithauer
/ cp.py
Created
March 18, 2022 12:57
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| import seaborn as sns | |
| from gapminder import gapminder | |
| import met_brewer.palettes | |
| sns.set_theme(style="whitegrid") |
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