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Visualization in Python with matplotlib
course content

Contenuti del Corso

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
Simple Bar Chart

Welcome to the second section! You've done great work so far! In this section, we will consider another common type of chart - this is a bar chart.

The concept for creating a bar chart is the same as for line plot: initialize Axes and Figure objects using the .subplots() method and then apply .bar() function to Axes object. The first argument (x) of the function is the x coordinates of the bar, the second (height) - the heights of the bars. For example, let's visualize some abstract subject grades.


              
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# Import library
import matplotlib.pyplot as plt

# Create data for chart
subjects = ['Math', 'Literature', 'History', 'Physics', 'Arts']
grades = [95, 76, 83, 92, 68]

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

# Initialize bar chart
ax.bar(subjects, grades)

# Display the plot
plt.show()
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Sezione 2. Capitolo 1

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course content

Contenuti del Corso

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
Simple Bar Chart

Welcome to the second section! You've done great work so far! In this section, we will consider another common type of chart - this is a bar chart.

The concept for creating a bar chart is the same as for line plot: initialize Axes and Figure objects using the .subplots() method and then apply .bar() function to Axes object. The first argument (x) of the function is the x coordinates of the bar, the second (height) - the heights of the bars. For example, let's visualize some abstract subject grades.


              
123456789101112131415

            
# Import library
import matplotlib.pyplot as plt

# Create data for chart
subjects = ['Math', 'Literature', 'History', 'Physics', 'Arts']
grades = [95, 76, 83, 92, 68]

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

# Initialize bar chart
ax.bar(subjects, grades)

# Display the plot
plt.show()
copy

Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 2. Capitolo 1
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