noads.gam_jax.utils.data_analysis

noads.gam_jax.utils.data_analysis#

Created on Thu Jan 20 20:20:20 2020.

author:: Conceptual Airplane Design & Operations (CADO team) Nicolas PETEILH, Pascal ROCHES, Nicolas MONROLIN, Thierry DRUOT AircraftOperation & Systems, Air Transport Department, ENAC

noads.gam_jax.utils.data_analysis.do_regression(df, un, abs, ord, colors, order, title=None)[source]#: Perform regression and draw the corresponding graph.

noads.gam_jax.utils.data_analysis.draw_colored_cloud_on_axis(ax, df, un, abs, ord, colors, xrange=None, yrange=None, leg_loc='lower right')[source]#: Build a colored scatter plot according to given colors categories. :param ax: a figure axis to plot on :param df: a dataframe :param un: the dict of units to use for the axis scale :param abs: the label of the dataframe column to plot on x-axis :param ord: the label of the dataframe column to plot on y-axis :param colors: a dictionary with label of the category as a key, and the color of the category as value. {‘turboprop’:’red’} :param xrange: list of 2 value for the x-axis range. Matplotlib default if not specified. :param yrange: list of 2 value for the y-axis range. Matplotlib default if not specified. :return:

noads.gam_jax.utils.data_analysis.draw_grid(file_name, data_grid, title)[source]#

Draw the figure of the flight grid and store it in a file.

Parameters:

Returns:

noads.gam_jax.utils.data_analysis.draw_hist(rer, title)[source]#: Draw the histogram of relative errors given into “reg” as [abs_list, ord_list].

noads.gam_jax.utils.data_analysis.draw_markers_and_colormap_cloud_on_axis(ax, df, un, abs, ord, markers, color_by='nominal_range', xrange=None, yrange=None, leg_loc='upper left')[source]#: Build a colored scatter plot according to a given color scale, with a colorbar on the side. :param ax: a figure axis to plot on :param df: a dataframe :param un: the dict of units to use for the axis scale :param abs: the label of the dataframe column to plot on x-axis :param ord: the label of the dataframe column to plot on y-axis :param markers: a dictionary with label of the category as a key, and the matplotlib marker as value. :param color_by: the label of the dataframe column for the color mapping :param xrange: list of 2 value for the x-axis range. Matplotlib default if not specified. :param yrange: list of 2 value for the y-axis range. Matplotlib default if not specified. :return:

noads.gam_jax.utils.data_analysis.draw_reg(df, un, abs, ord, reg, colors, title=None, leg_loc='lower right', file_name=None)[source]#: Draw the cloud of point in perspective of the regression given into “reg” as [abs_list, ord_list] Coloration of each airplane type is given into “colors”.

noads.gam_jax.utils.data_analysis.get_error(df, un, abs, ord, reg, abs_interval)[source]#

noads.gam_jax.utils.data_analysis.lin_lst_reg(df, abs, ord, order)[source]#: Linear least square regression of “ord” versus “abs” with given order order is the list of exponents to apply.

noads.gam_jax.utils.data_analysis.plot_without_reg(df, un, abs, ord, markers=None, color_by='nominal_range', colors=None, leg_loc='lower right', file_name=None)[source]#: Plot figure with colormap and markers cloud OR with only categories of color cloud.

noads.gam_jax.utils.data_analysis.read_db(file)[source]#: Read data base and convert to standard units WARNING: special treatment for cruise_speed and max_speed which can be Mach number.

noads.gam_jax.utils.data_analysis.store_data_to_file(data, file_name)[source]#

noads.gam_jax.utils.data_analysis.subplots_by_varname(df, un, var_names, figwidth=12, savefig=False)[source]#: Create set of subplots for each variable in the list var_name.

Functions

`do_regression`(df, un, abs, ord, colors, order)	Perform regression and draw the corresponding graph.
`draw_colored_cloud_on_axis`(ax, df, un, abs, ...)	Build a colored scatter plot according to given colors categories.
`draw_grid`(file_name, data_grid, title)	Draw the figure of the flight grid and store it in a file.
`draw_hist`(rer, title)	Draw the histogram of relative errors given into "reg" as [abs_list, ord_list].
`draw_markers_and_colormap_cloud_on_axis`(ax, ...)	Build a colored scatter plot according to a given color scale, with a colorbar on the side.
`draw_reg`(df, un, abs, ord, reg, colors[, ...])	Draw the cloud of point in perspective of the regression given into "reg" as [abs_list, ord_list] Coloration of each airplane type is given into "colors".
`get_error`(df, un, abs, ord, reg, abs_interval)
`lin_lst_reg`(df, abs, ord, order)	Linear least square regression of "ord" versus "abs" with given order order is the list of exponents to apply.
`load_data_from_file`(file_name)
`plot_without_reg`(df, un, abs, ord[, ...])	Plot figure with colormap and markers cloud OR with only categories of color cloud.
`read_db`(file)	Read data base and convert to standard units WARNING: special treatment for cruise_speed and max_speed which can be Mach number.
`store_data_to_file`(data, file_name)
`subplots_by_varname`(df, un, var_names[, ...])	Create set of subplots for each variable in the list var_name.