  Course Content

Visualization in Python with matplotlib

##   Challenge 2

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.

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.

Everything was clear?

Section 1. Chapter 12 