brightwind.analyse.plot.plot_timeseries¶
-
brightwind.analyse.plot.plot_timeseries(data, date_from='', date_to='', y_limits=(None, None))¶ Plot a timeseries of data.
- Parameters
data (pd.DataFrame, pd.Series) – Data in the form of a Pandas DataFrame/Series to plot.
date_from (str) – Start date used for plotting, if not specified the first timestamp of data is considered. Should be in yyyy-mm-dd format
date_to (str) – End date used for plotting, if not specified last timestamp of data is considered. Should be in yyyy-mm-dd format
y_limits (tuple, None) – y-axis min and max limits. Default is (None, None).
- Returns
Timeseries plot
- Return type
matplotlib.figure.Figure
Example usage
import brightwind as bw data = bw.load_csv(bw.datasets.demo_data) # To plot few variables bw.plot_timeseries(data[['Spd40mN', 'Spd60mS', 'T2m']]) # To set a start date bw.plot_timeseries(data.Spd40mN, date_from='2017-09-01') # To set an end date bw.plot_timeseries(data.Spd40mN, date_to='2017-10-01') # For specifying a slice bw.plot_timeseries(data.Spd40mN, date_from='2017-09-01', date_to='2017-10-01') # To set the y-axis minimum to 0 bw.plot_timeseries(data.Spd40mN, date_from='2017-09-01', date_to='2017-10-01', y_limits=(0, None)) # To set the y-axis maximum to 25 bw.plot_timeseries(data.Spd40mN, date_from='2017-09-01', date_to='2017-10-01', y_limits=(0, 25))