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Create 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:

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

Tâche

Swipe to start coding

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:

Create Figure and Axes objects assigned to fig, ax variables respectively.
Save data for each city in a separate variable (dv for Denver, sf for San Francisco, and mm for Miami).
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.
Set the labels for the plot:
- 'Month' on the x-axis;
- 'Average Temperature (Fahrenheit)' on the y-axis.
Add plot title 'Average monthly temperature for the US cities'.
Add a legend and display the plot.

Solution

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous

Tout était clair ?

Merci pour vos commentaires !

Section 1. Chapitre 12

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Create 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:

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

Tâche

Swipe to start coding

Create Figure and Axes objects assigned to fig, ax variables respectively.
Save data for each city in a separate variable (dv for Denver, sf for San Francisco, and mm for Miami).
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.
Set the labels for the plot:
- 'Month' on the x-axis;
- 'Average Temperature (Fahrenheit)' on the y-axis.
Add plot title 'Average monthly temperature for the US cities'.
Add a legend and display the plot.

Solution

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous

Tout était clair ?

Merci pour vos commentaires !

Section 1. Chapitre 12

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous