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Visualization in Python with matplotlib
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Course Content

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

bookCreate a Complete Line Chart

Good job! I think you can now build an informative chart yourself with real data.

Let's just recap the necessary steps:

  1. Load the matplotlib.pyplot library. Preferably with plt alias;
  2. Create Figure and Axes objects using .subplots() function (preferably fig, ax);
  3. Initialize each line with ax.plot() functions with necessary data and customization parameters (label, color, marker, linestyle);
  4. Set axis labels using ax.set_xlabel() and ax.set_ylabel() functions;
  5. Display the plot title, legend using plt.title() and plt.legend() functions (legend requires label parameter within .plot() functions to be set);
  6. Display the plot using plt.show() function.
Task
test

Swipe to show code editor

You are given the us_cities_weather dataframe containing the weather data for the US cities (average temperature per month from 1961 - 1990 in Fahrenheit). You need to display the monthly average temperature for three cities: San Francisco, Denver, and Miami. Follow the next steps:

  1. Create Figure and Axes objects assigned to fig, ax variables respectively.
  2. Save data for each city in a separate variable (dv for Denver, sf for San Francisco, and mm for Miami).
  3. Set the parameters for three lines (each corresponding to the respective city):
    • Red ('r') dotted ('dotted') line with square ('s') points for San Francisco;
    • Blue ('b') dashed ('dashed') line with triangle ('^') points for Denver;
    • Orange ('darkorange') dashdotted ('dashdot') line with circle ('o') points for Miami.
  4. Set the labels for the plot:
    • 'Month' on the x-axis;
    • 'Average Temperature (Fahrenheit)' on the y-axis.
  5. Add plot title 'Average monthly temperature for the US cities'.
  6. Add a legend and display the plot.

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Section 1. Chapter 12
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bookCreate a Complete Line Chart

Good job! I think you can now build an informative chart yourself with real data.

Let's just recap the necessary steps:

  1. Load the matplotlib.pyplot library. Preferably with plt alias;
  2. Create Figure and Axes objects using .subplots() function (preferably fig, ax);
  3. Initialize each line with ax.plot() functions with necessary data and customization parameters (label, color, marker, linestyle);
  4. Set axis labels using ax.set_xlabel() and ax.set_ylabel() functions;
  5. Display the plot title, legend using plt.title() and plt.legend() functions (legend requires label parameter within .plot() functions to be set);
  6. Display the plot using plt.show() function.
Task
test

Swipe to show code editor

You are given the us_cities_weather dataframe containing the weather data for the US cities (average temperature per month from 1961 - 1990 in Fahrenheit). You need to display the monthly average temperature for three cities: San Francisco, Denver, and Miami. Follow the next steps:

  1. Create Figure and Axes objects assigned to fig, ax variables respectively.
  2. Save data for each city in a separate variable (dv for Denver, sf for San Francisco, and mm for Miami).
  3. Set the parameters for three lines (each corresponding to the respective city):
    • Red ('r') dotted ('dotted') line with square ('s') points for San Francisco;
    • Blue ('b') dashed ('dashed') line with triangle ('^') points for Denver;
    • Orange ('darkorange') dashdotted ('dashdot') line with circle ('o') points for Miami.
  4. Set the labels for the plot:
    • 'Month' on the x-axis;
    • 'Average Temperature (Fahrenheit)' on the y-axis.
  5. Add plot title 'Average monthly temperature for the US cities'.
  6. Add a legend and display the plot.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 12
toggle bottom row

bookCreate a Complete Line Chart

Good job! I think you can now build an informative chart yourself with real data.

Let's just recap the necessary steps:

  1. Load the matplotlib.pyplot library. Preferably with plt alias;
  2. Create Figure and Axes objects using .subplots() function (preferably fig, ax);
  3. Initialize each line with ax.plot() functions with necessary data and customization parameters (label, color, marker, linestyle);
  4. Set axis labels using ax.set_xlabel() and ax.set_ylabel() functions;
  5. Display the plot title, legend using plt.title() and plt.legend() functions (legend requires label parameter within .plot() functions to be set);
  6. Display the plot using plt.show() function.
Task
test

Swipe to show code editor

You are given the us_cities_weather dataframe containing the weather data for the US cities (average temperature per month from 1961 - 1990 in Fahrenheit). You need to display the monthly average temperature for three cities: San Francisco, Denver, and Miami. Follow the next steps:

  1. Create Figure and Axes objects assigned to fig, ax variables respectively.
  2. Save data for each city in a separate variable (dv for Denver, sf for San Francisco, and mm for Miami).
  3. Set the parameters for three lines (each corresponding to the respective city):
    • Red ('r') dotted ('dotted') line with square ('s') points for San Francisco;
    • Blue ('b') dashed ('dashed') line with triangle ('^') points for Denver;
    • Orange ('darkorange') dashdotted ('dashdot') line with circle ('o') points for Miami.
  4. Set the labels for the plot:
    • 'Month' on the x-axis;
    • 'Average Temperature (Fahrenheit)' on the y-axis.
  5. Add plot title 'Average monthly temperature for the US cities'.
  6. Add a legend and display the plot.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Good job! I think you can now build an informative chart yourself with real data.

Let's just recap the necessary steps:

  1. Load the matplotlib.pyplot library. Preferably with plt alias;
  2. Create Figure and Axes objects using .subplots() function (preferably fig, ax);
  3. Initialize each line with ax.plot() functions with necessary data and customization parameters (label, color, marker, linestyle);
  4. Set axis labels using ax.set_xlabel() and ax.set_ylabel() functions;
  5. Display the plot title, legend using plt.title() and plt.legend() functions (legend requires label parameter within .plot() functions to be set);
  6. Display the plot using plt.show() function.
Task
test

Swipe to show code editor

You are given the us_cities_weather dataframe containing the weather data for the US cities (average temperature per month from 1961 - 1990 in Fahrenheit). You need to display the monthly average temperature for three cities: San Francisco, Denver, and Miami. Follow the next steps:

  1. Create Figure and Axes objects assigned to fig, ax variables respectively.
  2. Save data for each city in a separate variable (dv for Denver, sf for San Francisco, and mm for Miami).
  3. Set the parameters for three lines (each corresponding to the respective city):
    • Red ('r') dotted ('dotted') line with square ('s') points for San Francisco;
    • Blue ('b') dashed ('dashed') line with triangle ('^') points for Denver;
    • Orange ('darkorange') dashdotted ('dashdot') line with circle ('o') points for Miami.
  4. Set the labels for the plot:
    • 'Month' on the x-axis;
    • 'Average Temperature (Fahrenheit)' on the y-axis.
  5. Add plot title 'Average monthly temperature for the US cities'.
  6. Add a legend and display the plot.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 12
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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