decorator

task: Visualize
subtask: artist
host: chemml
function: decorator
input tokens (receivers): fig : a matplotlib object

types: (“<class ‘matplotlib.figure.Figure’>”, “<class ‘matplotlib.axes._subplots.AxesSubplot’>”)
output tokens (senders): fig : a matplotlib object

types: (“<class ‘matplotlib.figure.Figure’>”,)
required packages: ChemML, 0.4.1

pandas, 0.20.3

matplotlib, 1.5.1
config file view: ##

<< host = chemml << function = decorator

<< weight = normal

<< family = normal

<< xlim = (None, None)

``<< title = ``

<< grid_color = k

<< variant = normal

<< style = normal

<< grid_linestyle = --

``<< xlabel = ``

<< grid_linewidth = 0.5

``<< ylabel = ``

<< grid = True

<< ylim = (None, None)

<< size = 18

>> id fig

>> id fig

Note

The documentation page for function parameters:

hist

task: Visualize
subtask: plot
host: chemml
function: hist
input tokens (receivers): dfx : a pandas dataframe

types: (“<class ‘pandas.core.frame.DataFrame’>”,)
output tokens (senders): fig : a matplotlib object

types: (“<class ‘matplotlib.figure.Figure’>”,)
required packages: ChemML, 0.4.1

pandas, 0.20.3

matplotlib, 1.5.1
config file view: ##

<< host = chemml << function = hist

<< color = None

<< kwargs = {}

<< x = required_required

<< bins = None

>> id dfx

>> id fig

Note

The documentation page for function parameters:

task: Visualize
subtask: plot
host: chemml
function: scatter2D
input tokens (receivers): dfy : a pandas dataframe

types: (“<class ‘pandas.core.frame.DataFrame’>”,)

dfx : a pandas dataframe

types: (“<class ‘pandas.core.frame.DataFrame’>”,)
output tokens (senders): fig : a matplotlib.Figure object

types: (“<class ‘matplotlib.figure.Figure’>”,)
required packages: ChemML, 0.4.1

pandas, 0.20.3

matplotlib, 1.5.1
config file view: ##

<< host = chemml << function = scatter2D

<< color = b

<< marker = .

<< y = required_required

<< x = required_required

<< linewidth = 2

``<< linestyle = ``

>> id dfy

>> id dfx

>> id fig

Note

The documentation page for function parameters:

task: Visualize
subtask: plot
host: pandas
function: plot
input tokens (receivers): df : pandas dataframe

types: (“<class ‘pandas.core.frame.DataFrame’>”,)
output tokens (senders): fig : matplotlib figure or axes object

types: (“<class ‘matplotlib.axes._subplots.AxesSubplot’>”, “<class ‘matplotlib.figure.Figure’>”)
required packages: pandas, 0.20.3

matplotlib, 1.5.1
config file view: ##

<< host = pandas << function = plot

<< xlim = None

<< xerr = None

<< yerr = None

<< logx = False

<< logy = False

<< table = False

<< ax = None

<< rot = None

<< ylim = None

<< style = None

<< sharey = False

<< sharex = None

<< title = None

<< use_index = True

<< xticks = None

<< fontsize = None

<< sort_columns = False

<< loglog = False

<< colormap = None

<< grid = None

<< layout = None

<< legend = True

<< secondary_y = False

<< kind = line

<< subplots = False

<< figsize = None

<< yticks = None

<< y = None

<< x = None

>> id df

>> id fig

Note

The documentation page for function parameters: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html