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Visualization in Python with matplotlib
course content

Conteúdo do Curso

Visualization in Python with matplotlib

Visualization in Python with matplotlib

1. Basics: Line Charts
Creating an Empty PlotSimple Line ChartCreate a Simple Line ChartAdding One More LineAdd Data to the PlotAdding Legend to a PlotAdd LegendPlot Labels and TitleAdd Lables and TitlesChanging Line StyleCustomize Your Line ChartCreate a Complete Line Chart
2. Bar Charts
Simple Bar ChartCreate a Simple Bar ChartStacked BarsCreate a Stacked Bar ChartGrouped BarsCreate a Grouped Bar ChartHorizontal Bar ChartCreate a Horizontal Bar ChartCustomizing Bar ChartsCreate a Complete Bar Chart
3. Scatter Plots
The Simplest Scatter PlotCreate a Simple Scatter PlotSetting Plot ParametersSet Ticks and LimitsCustomizationCustomize Your Scatter PlotGrouping ObservationsGroup by RegionFurther GroupingGroup by Continuous VariableMaking Chart InformativeAdd Information to the Plot

book
Horizontal Bar Chart

Horizontal bar charts are the same as bar charts, but have axes 'swapped': this time bars are horizontal, and values are labeled on the x-axis.

To build horizontal bar chart. use the .barh() function. This function can also be used to build stacked bars, but this time instead of the bottom parameter we should use the left parameter, and instead of width we should use height. For example, we can rebuild the stacked bar chart from example as a horizontal one:


              
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# Import library
import matplotlib.pyplot as plt

# Create data for chart
countries = ['United States', 'India', 'Brazil']
agricultural = [333600, 1458996, 214368]
industrial = [3722590, 2179020, 672336]
services = [15592000, 5826510, 2361296]

# Create Axes and Figure objects
fig, ax = plt.subplots()

# Initialize bar chart
ax.barh(countries, agricultural, label = 'Agricultural', height = 0.4)
ax.barh(countries, industrial, label = 'Industrial', left = agricultural, height = 0.4)
ax.barh(countries, services, label = 'Services', left = industrial, height = 0.4)

# Display the plot
plt.legend()
plt.show()
copy

Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 2. Capítulo 7

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course content

Conteúdo do Curso

Visualization in Python with matplotlib

Visualization in Python with matplotlib

1. Basics: Line Charts
Creating an Empty PlotSimple Line ChartCreate a Simple Line ChartAdding One More LineAdd Data to the PlotAdding Legend to a PlotAdd LegendPlot Labels and TitleAdd Lables and TitlesChanging Line StyleCustomize Your Line ChartCreate a Complete Line Chart
2. Bar Charts
Simple Bar ChartCreate a Simple Bar ChartStacked BarsCreate a Stacked Bar ChartGrouped BarsCreate a Grouped Bar ChartHorizontal Bar ChartCreate a Horizontal Bar ChartCustomizing Bar ChartsCreate a Complete Bar Chart
3. Scatter Plots
The Simplest Scatter PlotCreate a Simple Scatter PlotSetting Plot ParametersSet Ticks and LimitsCustomizationCustomize Your Scatter PlotGrouping ObservationsGroup by RegionFurther GroupingGroup by Continuous VariableMaking Chart InformativeAdd Information to the Plot

book
Horizontal Bar Chart

Horizontal bar charts are the same as bar charts, but have axes 'swapped': this time bars are horizontal, and values are labeled on the x-axis.

To build horizontal bar chart. use the .barh() function. This function can also be used to build stacked bars, but this time instead of the bottom parameter we should use the left parameter, and instead of width we should use height. For example, we can rebuild the stacked bar chart from example as a horizontal one:


              
1234567891011121314151617181920

            
# Import library
import matplotlib.pyplot as plt

# Create data for chart
countries = ['United States', 'India', 'Brazil']
agricultural = [333600, 1458996, 214368]
industrial = [3722590, 2179020, 672336]
services = [15592000, 5826510, 2361296]

# Create Axes and Figure objects
fig, ax = plt.subplots()

# Initialize bar chart
ax.barh(countries, agricultural, label = 'Agricultural', height = 0.4)
ax.barh(countries, industrial, label = 'Industrial', left = agricultural, height = 0.4)
ax.barh(countries, services, label = 'Services', left = industrial, height = 0.4)

# Display the plot
plt.legend()
plt.show()
copy

Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 2. Capítulo 7
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