Load data¶
Load data from external sources into the main dataframe
From files¶
-
Df.
load_csv
(url, **kwargs)¶ Loads csv data in the main dataframe
Parameters: - url (str) – url of the csv file to load:
can be absolute if it starts with
/
or relative if it starts with./
- kwargs – keyword arguments to pass to Pandas
read_csv
function
Example: ds.load_csv("./myfile.csv")
- url (str) – url of the csv file to load:
can be absolute if it starts with
-
Df.
load_excel
(filepath, **kwargs)¶ Set the main dataframe with the content of an Excel file
Parameters: - filepath (str) – url of the csv file to load,
can be absolute if it starts with
/
or relative if it starts with./
- kwargs – keyword arguments to pass to
Pandas
read_excel
function
Example: ds.load_excel("./myfile.xlsx")
- filepath (str) – url of the csv file to load,
can be absolute if it starts with
-
Df.
load_h5
(filepath)¶ Load a Hdf5 file to the main dataframe
Parameters: filepath (str) – url of the csv file to load, can be absolute if it starts with /
or relative if it starts with./
Example: ds.load_h5("./myfile.hdf5")
-
Df.
load_json
(path, **kwargs)¶ Load data in the main dataframe from json
Parameters: - filepath (str) – url of the csv file to load,
can be absolute if it starts with
/
or relative if it starts with./
- kwargs – keyword arguments to pass to
Pandas
read_json
function
Example: ds.load_json("./myfile.json")
- filepath (str) – url of the csv file to load,
can be absolute if it starts with
From a database¶
See the database operations section