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Visualization in Python with matplotlib
Visualization in Python with matplotlib
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 withplt
alias; - Create
Figure
andAxes
objects using.subplots()
function (preferablyfig, 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()
andax.set_ylabel()
functions; - Display the plot title, legend using
plt.title()
andplt.legend()
functions (legend
requireslabel
parameter within.plot()
functions to be set); - Display the plot using
plt.show()
function.
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:
-
Create
Figure
andAxes
objects assigned tofig
,ax
variables respectively. -
Save data for each city in a separate variable (
dv
for Denver,sf
for San Francisco, andmm
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.
Дякуємо за ваш відгук!
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 withplt
alias; - Create
Figure
andAxes
objects using.subplots()
function (preferablyfig, 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()
andax.set_ylabel()
functions; - Display the plot title, legend using
plt.title()
andplt.legend()
functions (legend
requireslabel
parameter within.plot()
functions to be set); - Display the plot using
plt.show()
function.
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:
-
Create
Figure
andAxes
objects assigned tofig
,ax
variables respectively. -
Save data for each city in a separate variable (
dv
for Denver,sf
for San Francisco, andmm
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.
Дякуємо за ваш відгук!