pastas.plotting.plots.series#
- series(head=None, stresses=None, hist=True, kde=False, table=False, titles=True, tmin=None, tmax=None, labels=None, figsize=(10, 5))[source]#
Plot all the input time Series in a single plot.
- Parameters
head (pd.Series) – Pandas time series with DatetimeIndex.
stresses (List of pd.Series) – List with Pandas time series with DatetimeIndex.
hist (bool) – Histogram for the series. The number of bins is determined with Sturges rule.
kde (bool) – Kernel density estimate for the series. The kde is obtained from scipy.gaussian_kde using scott to calculate the estimator bandwidth. Returns the number of observations, mean, skew and kurtosis.
table (bool) – Show table with some basic statistics such as the number of observations, mean, skew and kurtosis.
titles (bool) – Set the titles or not. Taken from the name attribute of the series.
tmin (str or pd.Timestamp) –
tmax (str or pd.Timestamp) –
labels (List of str) – List with the labels for each subplot.
figsize (tuple) – Set the size of the figure.
- Return type
matplotlib.Axes