Reading and Visualizing Data
The first thing to start with is reading the data. When working with time series, the rules of the game do not change - you can still use pandas to get data from csv files.
In the files, let's say you have a Date
column that contains dates in str type. For further time series analysis, you must turn the str type into a datetime. This is implemented using the pandas
function to_datetime()
Let's take the dataset air_quality_no2_long.csv
as an example:
python
Next, we convert the data type in the Date
column from str to datetime:
python
You can also do this immediately when reading the dataset:
python
Now we can plot our dataset:
python
Taak
Swipe to start coding
Read and visualize the AirPassengers.csv
dataset.
- Import
matplotlib.pyplot
asplt
. - Read the
csv
file and save it within thedata
variable. - Convert
"Month"
intodatetime
type. - Initialize a line plot with the
"Month"
column ofdata
on the x-axis and"#Passengers"
on the y-axis. - Set labels on an axis and display the plot:
"Month"
on the x-axis;"Passengers"
on the y-axis.
Oplossing
Was alles duidelijk?
Bedankt voor je feedback!
Sectie 2. Hoofdstuk 1