diff --git a/master/_modules/niworkflows/viz/plots.html b/master/_modules/niworkflows/viz/plots.html index 34397396b95..a034040f948 100644 --- a/master/_modules/niworkflows/viz/plots.html +++ b/master/_modules/niworkflows/viz/plots.html @@ -354,12 +354,11 @@

Source code for niworkflows.viz.plots

 #
 """Plotting tools shared across MRIQC and fMRIPrep."""
 
-import matplotlib.cm as cm
 import matplotlib.pyplot as plt
 import nibabel as nb
 import numpy as np
 import pandas as pd
-from matplotlib import colormaps
+from matplotlib import cm, colormaps
 from matplotlib import gridspec as mgs
 from matplotlib.colorbar import ColorbarBase
 from matplotlib.colors import Normalize
diff --git a/master/api/niworkflows-anat-ants-1.pdf b/master/api/niworkflows-anat-ants-1.pdf
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diff --git a/master/api/niworkflows-anat-skullstrip-1.pdf b/master/api/niworkflows-anat-skullstrip-1.pdf
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diff --git a/master/api/niworkflows-func-util-1.pdf b/master/api/niworkflows-func-util-1.pdf
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diff --git a/master/api/niworkflows-workflows-epi-refmap-1.pdf b/master/api/niworkflows-workflows-epi-refmap-1.pdf
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diff --git a/master/api/niworkflows.interfaces.confounds.html b/master/api/niworkflows.interfaces.confounds.html
index da55178d993..84eaad2b5d8 100644
--- a/master/api/niworkflows.interfaces.confounds.html
+++ b/master/api/niworkflows.interfaces.confounds.html
@@ -450,14 +450,14 @@
 indicates that the first and second exponential terms should be added.
 To retain the original terms, 1 must be included in the list.

  • variables (list of str) – List of variables for which exponential terms should be computed.

  • -
  • data (DataFrame) – Table of values of all observations of all variables.

  • +
  • data (DataFrame) – Table of values of all observations of all variables.

  • Returns:

    • variables_exp (list) – A list of variables to include in the final data frame after adding the specified exponential terms.

    • -
    • data_exp (DataFrame) – Table of values of all observations of all variables, including any +

    • data_exp (DataFrame) – Table of values of all observations of all variables, including any specified exponential terms.

    @@ -474,13 +474,13 @@
    • expression (str) – Formula expression: either a single variable or a variable group paired with an operation (exponentiation or differentiation).

    • -
    • parent_data (DataFrame) – The source data for the model expansion.

    • +
    • parent_data (DataFrame) – The source data for the model expansion.

    Returns:

    • variables (list) – A list of variables in the provided formula expression.

    • -
    • data (DataFrame) – A tabulation of all terms in the provided formula expression.

    • +
    • data (DataFrame) – A tabulation of all terms in the provided formula expression.

    @@ -524,7 +524,7 @@

    Temporal derivatives and exponential terms are computed for all terms in the grouping symbols that they adjoin.

    -
  • parent_data (DataFrame) – A tabulation of all values usable in the model formula. Each additive +

  • parent_data (DataFrame) – A tabulation of all values usable in the model formula. Each additive term in model_formula should correspond either to a variable in this data frame or to instructions for operating on a variable (for instance, computing temporal derivatives or exponential terms).

  • @@ -534,7 +534,7 @@

    • variables (list of str) – A list of variables included in the model parsed from the provided formula.

    • -
    • data (DataFrame) – All values in the complete model.

    • +
    • data (DataFrame) – All values in the complete model.

    @@ -548,7 +548,7 @@
    Parameters:
      -
    • data (DataFrame) – A tabulation of observations from which spike regressors should be +

    • data (DataFrame) – A tabulation of observations from which spike regressors should be estimated.

    • criteria (dict of (str, '>' or '<' or float)) – Criteria for generating a spike regressor. If, for a given frame, the value of the variable corresponding to the key exceeds the threshold @@ -575,7 +575,7 @@

      data – The input DataFrame with a column for each spike regressor.

      Return type:
      -

      DataFrame

      +

      DataFrame

    References

    @@ -601,14 +601,14 @@ To retain the original terms, 0 must be included in the list.

  • variables (list of str) – List of variables for which temporal derivative terms should be computed.

  • -
  • data (DataFrame) – Table of values of all observations of all variables.

  • +
  • data (DataFrame) – Table of values of all observations of all variables.

  • Returns:

    • variables_deriv (list) – A list of variables to include in the final data frame after adding the specified derivative terms.

    • -
    • data_deriv (DataFrame) – Table of values of all observations of all variables, including any +

    • data_deriv (DataFrame) – Table of values of all observations of all variables, including any specified derivative terms.