Patronen in de tijd

Exploratory Data Analysis in Python

Izzy Weber

Curriculum Manager, DataCamp

Patronen in de tijd

divorce = pd.read_csv("divorce.csv")
divorce.head()

  marriage_date  marriage_duration
0    2000-06-26                5.0
1    2000-02-02                2.0
2    1991-10-09                10.0
3    1993-01-02                10.0
4    1998-12-11                7.0
Exploratory Data Analysis in Python

DateTime-gegevens importeren

  • DateTime-gegevens moeten expliciet aan Pandas worden doorgegeven

 

divorce.dtypes

marriage_date         object
marriage_duration    float64
dtype: object
Exploratory Data Analysis in Python

DateTime-gegevens importeren

divorce = pd.read_csv("divorce.csv", parse_dates=["marriage_date"])
divorce.dtypes

marriage_date        datetime64[ns]
marriage_duration           float64
dtype: object
Exploratory Data Analysis in Python

Converteren naar DateTime-gegevens

  • pd.to_datetime() zet argumenten om naar DateTime-gegevens

 

divorce["marriage_date"] = pd.to_datetime(divorce["marriage_date"])
divorce.dtypes

marriage_date        datetime64[ns]
marriage_duration           float64
dtype: object
Exploratory Data Analysis in Python

DateTime-gegevens maken

divorce.head(2)

   month  day  year  marriage_duration 
0      6   26  2000                5.0 
1      2    2  2000                2.0

divorce["marriage_date"] = pd.to_datetime(divorce[["month", "day", "year"]])
divorce.head(2)

    month  day  year  marriage_duration  marriage_date 

 0      6   26  2000                5.0     2000-06-26 
 1      2    2  2000                2.0     2000-02-02
Exploratory Data Analysis in Python

DateTime-gegevens maken

  • Haal delen uit een datum met de dt.month-, dt.day- en dt.year-attributen
divorce["marriage_month"] = divorce["marriage_date"].dt.month
divorce.head()

    marriage_date  marriage_duration  marriage_month 
 0     2000-06-26                5.0               6 
 1     2000-02-02                2.0               2 
 2     1991-10-09               10.0              10 
 3     1993-01-02               10.0               1 
 4     1998-12-11                7.0              12
Exploratory Data Analysis in Python

Patronen in de tijd visualiseren

sns.lineplot(data=divorce, x="marriage_month", y="marriage_duration")
plt.show()

Een lijndiagram van de relatie tussen huwelijksmaand en huwelijksduur

Exploratory Data Analysis in Python

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Exploratory Data Analysis in Python

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