slipHistory class

class csi.slipHistory(fault, direction='sd', utmzone=None, ellps='WGS84', lon0=None, lat0=None, verbose=True)

initializeTimeSeries(time=None, start=None, end=None, increment=1)

Initializes the time series of slip for each patch.

Kwargs:

• time : list of datetime instances

• start : datetime instance of the first period

• end : datetime instance of the ending period

• increment : increment of time between periods

plotPatch(patch)

Plots the time series of slip for one patch or one tent.

Args:

• patchCan be a patch or a tent (given the fault

  object)

plotSlip(time)

Plots the slip at a given time

Args:

• time : instance of datetime

predict(datas)

For all the data included in data, build time series of displacement.

Args:

• datasList of data sets.

  Time series will be initialized given the time vector of slip.

slip2fault(time)

Sets the slip at a time period ‘time’ into the fault object.

Args:

• time : Instance of datetime

slipattime(time)

Gets the slip at a given time

Args:

• timeInstance of datetime or list or array of

  instances of datetime

Returns:

• slipDictionary of ‘strikeslip’, ‘dipslip’ and

  ‘tensile’

tbayes2history(tbayes, model='mean')

Convert the results of a timebayes instance into time series of fault slip.

Args:

• tbayes : Instance of timebayes. Need to run walkWithTime

Kwargs:

• modelWhich model do we want?

  Can be ‘mean’, ‘median’ or any integer number giving the index of the model