diff --git a/examples/dataset/Example of doND wrappers.ipynb b/examples/dataset/Example of doND wrappers.ipynb index 3d977ab3..986b0631 100644 --- a/examples/dataset/Example of doND wrappers.ipynb +++ b/examples/dataset/Example of doND wrappers.ipynb @@ -13,7 +13,16 @@ "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\users\\jenielse\\source\\repos\\qdev-wrappers\\qdev_wrappers\\logger.py:16: UserWarning: The logger.py of qdev-wrappers is deprecated and will be removed soon. Please use the logger of QCoDeS instead.\n", + " warnings.warn('The logger.py of qdev-wrappers is deprecated and will be '\n" + ] + } + ], "source": [ "from functools import partial\n", "\n", @@ -52,8 +61,8 @@ { "data": { "text/plain": [ - "doNd-tutorial#no sample#10@C:\\Users\\jenielse/experiments.db\n", - "-----------------------------------------------------------" + "doNd-tutorial#no sample#15@C:\\Users\\jenielse\\source\\repos\\qcodes_generate_test_db\\qcplotbenchmark.db\n", + "----------------------------------------------------------------------------------------------------" ] }, "execution_count": 3, @@ -121,24 +130,63 @@ { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "metadata": { + "scrolled": false + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Starting experimental run with id: 27\n", - "plot by id took 0.19638419151306152\n" + "Starting experimental run with id: 38\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 100/100 [00:00<00:00, 689.54it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "plot by id took 0.05803966522216797\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "dataid, ax, cbax = do1d(dac.ch1, 0, 1, 100, 0.1, dmm.v1, dmm.v2)" + "dataid, ax, cbax = do1d(dac.ch1, 0, 1, 100, 0.00001, dmm.v1, dmm.v2)" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 13, "metadata": { "scrolled": false }, @@ -147,9 +195,46 @@ "name": "stdout", "output_type": "stream", "text": [ - "Starting experimental run with id: 28\n", - "plot by id took 1.528921365737915\n" + "Starting experimental run with id: 44\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 100/100 [00:00<00:00, 158.73it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "plot by id took 0.7440288066864014\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ @@ -228,7 +378,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -236,7 +386,21 @@ "output_type": "stream", "text": [ "called before the loop\n", - "Starting experimental run with id: 30\n", + "Starting experimental run with id: 46\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r", + " 0%| | 0/3 [00:00" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ @@ -272,7 +473,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -281,16 +482,41 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Starting experimental run with id: 31\n", - "plot by id took 0.15599322319030762\n" + "Starting experimental run with id: 47\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 10/10 [00:00<00:00, 93.98it/s]\n" ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "plot by id took 0.04902243614196777\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ @@ -328,7 +554,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -337,22 +563,74 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Starting experimental run with id: 35\n", - "plot by id took 0.07499814033508301\n" + "Starting experimental run with id: 48\n", + "plot by id took 0.05100131034851074\n" ] + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ "dataid = do0d(channlinstrument.A.dummy_array_parameter, channlinstrument.B.dummy_array_parameter)" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, @@ -377,7 +655,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.7" + "version": "3.6.8" } }, "nbformat": 4, diff --git a/examples/dataset/Plot_id extensions.ipynb b/examples/dataset/Plot_id extensions.ipynb new file mode 100644 index 00000000..d87de9ab --- /dev/null +++ b/examples/dataset/Plot_id extensions.ipynb @@ -0,0 +1,201 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## PLotting tools and save_image\n", + "\n", + "This notebook gives examples for extensions to plot_by_id for saving data and doing simple data analysis.\n", + "All this is captured in plot_id and save_image functions.\n", + "\n", + "save_image simply calls plot_id and saves a png and pdf using path defined in the qcodes config. All inputs to save_image are the same as for plot_id." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\users\\thlarse\\documents\\github\\qdev-wrappers\\qdev_wrappers\\logger.py:16: UserWarning: The logger.py of qdev-wrappers is deprecated and will be removed soon. Please use the logger of QCoDeS instead.\n", + " warnings.warn('The logger.py of qdev-wrappers is deprecated and will be '\n" + ] + } + ], + "source": [ + "import qcodes as qc\n", + "from qcodes.dataset.database import initialise_or_create_database_at\n", + "from qdev_wrappers.dataset.plotting_tools import plot_id, save_image\n", + "\n", + "initialise_or_create_database_at('C:\\\\Users\\\\thlarse\\\\OneDrive - Microsoft\\\\Data\\\\experiments.db')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "([],\n", + " [])" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# PLot_id will can be called with only the dataid as input for plotting some data run.\n", + "plot_id(2) # save_iamge(2) will create same plot and save as png and pdf" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "([],\n", + " [])" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Some simple analysis funcitonality has beee added.\n", + "plot_id(2,'xcut',-41) # Function finds neareast value to the given - in this case -42 as printed above the plot\n", + "plot_id(2,'ycut',5.404e9)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "([],\n", + " [])" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# For now 6 analysis functions has been defined: ['avg_row', 'avg_column', 'sub_avg_row' , 'sub_avg_column','xcut', 'ycut']\n", + "# More functions can be added as required in plotting_tools.\n", + "\n", + "# sub_avg_column will subtract the average of each column from each column.\n", + "plot_id(2,'sub_avg_column')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "([],\n", + " [])" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# sub_avg_column will plot the average of each column.\n", + "plot_id(2,'avg_column')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/qdev_wrappers/dataset/doNd.py b/qdev_wrappers/dataset/doNd.py index 2d60c35a..f6aeebfb 100644 --- a/qdev_wrappers/dataset/doNd.py +++ b/qdev_wrappers/dataset/doNd.py @@ -1,15 +1,14 @@ from typing import Callable, Sequence, Union, Tuple, List, Optional -import os import time import numpy as np import matplotlib import matplotlib.pyplot as plt +from tqdm import tqdm from qcodes.dataset.measurements import Measurement -from qcodes.instrument.base import _BaseParameter -from qcodes.dataset.plotting import plot_by_id -from qcodes import config +from qcodes.instrument.parameter import _BaseParameter, ArrayParameter, MultiParameter +from qdev_wrappers.dataset.plotting_tools import save_image AxesTuple = Tuple[matplotlib.axes.Axes, matplotlib.colorbar.Colorbar] AxesTupleList = Tuple[List[matplotlib.axes.Axes], @@ -23,7 +22,7 @@ def do0d(*param_meas: Union[_BaseParameter, Callable[[], None]], do_plot: bool = True) -> AxesTupleListWithRunId: """ Perform a measurement of a single parameter. This is probably most - useful for an ArrayParamter that already returns an array of data points + useful for an ArrayParameter that already returns an array of data points Args: *param_meas: Parameter(s) to measure at each step or functions that @@ -40,21 +39,28 @@ def do0d(*param_meas: Union[_BaseParameter, Callable[[], None]], output = [] for parameter in param_meas: - meas.register_parameter(parameter) - output.append([parameter, None]) - + if isinstance(parameter, (ArrayParameter, MultiParameter)): + paramtype = 'array' + elif isinstance(parameter, _BaseParameter): + paramtype = 'numeric' + if isinstance(parameter, _BaseParameter): + meas.register_parameter(parameter, paramtype=paramtype) + output.append([parameter, None]) + with meas.run() as datasaver: - for i, parameter in enumerate(param_meas): + i = 0 + for parameter in param_meas: if isinstance(parameter, _BaseParameter): output[i][1] = parameter.get() + i += 1 elif callable(parameter): parameter() datasaver.add_result(*output) dataid = datasaver.run_id if do_plot is True: - ax, cbs = _save_image(datasaver) + ax, cbs = save_image(dataid) else: ax = None, cbs = None @@ -95,16 +101,17 @@ def do1d(param_set: _BaseParameter, start: number, stop: number, The run_id of the DataSet created """ meas = Measurement() + refresh_time = 1 # 1 second refresh time for liveplotting and progressbar + meas.write_period = refresh_time meas.register_parameter( param_set) # register the first independent parameter - output = [] param_set.post_delay = delay interrupted = False + points_taken = 0 + time.sleep(0.1) + for action in enter_actions: - # this omits the posibility of passing - # argument to enter and exit actions. - # Do we want that? meas.add_before_run(action, ()) for action in exit_actions: meas.add_after_run(action, ()) @@ -112,31 +119,41 @@ def do1d(param_set: _BaseParameter, start: number, stop: number, # do1D enforces a simple relationship between measured parameters # and set parameters. For anything more complicated this should be # reimplemented from scratch + + + output = [] for parameter in param_meas: + if isinstance(parameter, (ArrayParameter, MultiParameter)): + paramtype = 'array' + elif isinstance(parameter, _BaseParameter): + paramtype = 'numeric' if isinstance(parameter, _BaseParameter): - meas.register_parameter(parameter, setpoints=(param_set,)) + meas.register_parameter(parameter, setpoints=(param_set,), + paramtype=paramtype) output.append([parameter, None]) try: with meas.run() as datasaver: - - for set_point in np.linspace(start, stop, num_points): + for set_point in tqdm(np.linspace(start, stop, num_points)): param_set.set(set_point) - output = [] + i = 0 for parameter in param_meas: if isinstance(parameter, _BaseParameter): - output.append((parameter, parameter.get())) + output[i][1] = parameter.get() + i += 1 elif callable(parameter): parameter() datasaver.add_result((param_set, set_point), *output) + + points_taken += 1 except KeyboardInterrupt: interrupted = True dataid = datasaver.run_id # convenient to have for plotting if do_plot is True: - ax, cbs = _save_image(datasaver) + ax, cbs = save_image(dataid) else: ax = None, cbs = None @@ -191,42 +208,52 @@ def do2d(param_set1: _BaseParameter, start1: number, stop1: number, """ meas = Measurement() + refresh_time = 1 # 1 second refresh time for liveplotting and progressbar + meas.write_period = refresh_time meas.register_parameter(param_set1) param_set1.post_delay = delay1 meas.register_parameter(param_set2) param_set1.post_delay = delay2 interrupted = False + + points_taken = 0 + time.sleep(0.1) + for action in enter_actions: - # this omits the possibility of passing - # argument to enter and exit actions. - # Do we want that? meas.add_before_run(action, ()) - for action in exit_actions: meas.add_after_run(action, ()) + output = [] for parameter in param_meas: + if isinstance(parameter, (ArrayParameter, MultiParameter)): + paramtype = 'array' + elif isinstance(parameter, _BaseParameter): + paramtype = 'numeric' if isinstance(parameter, _BaseParameter): meas.register_parameter(parameter, - setpoints=(param_set1, param_set2)) + setpoints=(param_set1, param_set2), + paramtype=paramtype) + output.append([parameter, None]) + try: with meas.run() as datasaver: - - for set_point1 in np.linspace(start1, stop1, num_points1): + for set_point1 in tqdm(np.linspace(start1, stop1, num_points1)): param_set1.set(set_point1) for action in before_inner_actions: action() for set_point2 in np.linspace(start2, stop2, num_points2): param_set2.set(set_point2) - output = [] + i = 0 for parameter in param_meas: if isinstance(parameter, _BaseParameter): - output.append((parameter, parameter.get())) + output[i][1] = parameter.get() + i += 1 elif callable(parameter): parameter() datasaver.add_result((param_set1, set_point1), - (param_set2, set_point2), - *output) + (param_set2, set_point2), + *output) for action in after_inner_actions: action() except KeyboardInterrupt: @@ -235,7 +262,7 @@ def do2d(param_set1: _BaseParameter, start1: number, stop1: number, dataid = datasaver.run_id if do_plot is True: - ax, cbs = _save_image(datasaver) + ax, cbs = save_image(dataid) else: ax = None, cbs = None @@ -243,46 +270,3 @@ def do2d(param_set1: _BaseParameter, start1: number, stop1: number, raise KeyboardInterrupt return dataid, ax, cbs - - -def _save_image(datasaver) -> AxesTupleList: - """ - Save the plots created by datasaver as pdf and png - - Args: - datasaver: a measurement datasaver that contains a dataset to be saved - as plot. - - """ - plt.ioff() - dataid = datasaver.run_id - start = time.time() - axes, cbs = plot_by_id(dataid) - stop = time.time() - print(f"plot by id took {stop-start}") - - mainfolder = config.user.mainfolder - experiment_name = datasaver._dataset.exp_name - sample_name = datasaver._dataset.sample_name - - storage_dir = os.path.join(mainfolder, experiment_name, sample_name) - os.makedirs(storage_dir, exist_ok=True) - - png_dir = os.path.join(storage_dir, 'png') - pdf_dif = os.path.join(storage_dir, 'pdf') - - os.makedirs(png_dir, exist_ok=True) - os.makedirs(pdf_dif, exist_ok=True) - - save_pdf = True - save_png = True - - for i, ax in enumerate(axes): - if save_pdf: - full_path = os.path.join(pdf_dif, f'{dataid}_{i}.pdf') - ax.figure.savefig(full_path, dpi=500) - if save_png: - full_path = os.path.join(png_dir, f'{dataid}_{i}.png') - ax.figure.savefig(full_path, dpi=500) - plt.ion() - return axes, cbs diff --git a/qdev_wrappers/dataset/plotting_tools.py b/qdev_wrappers/dataset/plotting_tools.py new file mode 100644 index 00000000..b6ce8b1f --- /dev/null +++ b/qdev_wrappers/dataset/plotting_tools.py @@ -0,0 +1,278 @@ + +from collections import OrderedDict +from typing import (Optional, List, Sequence, Union, Tuple, Dict, + Any, Set) + +import time +import os +import numpy as np +import matplotlib +import matplotlib.pyplot as plot +from matplotlib.collections import QuadMesh + +import qcodes as qc +from qcodes.dataset.data_set import load_by_id +from qcodes.dataset.plotting import plot_by_id +from qcodes.dataset.data_export import (get_data_by_id, flatten_1D_data_for_plot, + get_1D_plottype, get_2D_plottype, reshape_2D_data, + _strings_as_ints) +from qcodes import config + +AxesTuple = Tuple[matplotlib.axes.Axes, matplotlib.colorbar.Colorbar] +AxesTupleList = Tuple[List[matplotlib.axes.Axes], + List[Optional[matplotlib.colorbar.Colorbar]]] +Number = Union[float, int] + +def plot_id(dataid, transform_name=None,*args,**kwargs): + plots = plot_by_id(dataid,**kwargs) + if transform_name is not None: + transform_plot(plots,transform_name,*args) + return plots + +def save_image(dataid, transform_name=None, filename=None,**kwargs) -> AxesTupleList: + """ + Save the plots from dataid as pdf and png + + Args: + datasaver: a measurement datasaver that contains a dataset to be saved + as plot. + filename: String added to the filename of saved images + kwargs: Arguments passed to plot_by_id + + """ + + start = time.time() + dataset = load_by_id(dataid) + plots = plot_id(dataid,transform_name=transform_name,**kwargs) + stop = time.time() + print(f"plot by id took {stop-start}") + + mainfolder = config.user.mainfolder + experiment_name = dataset.exp_name + sample_name = dataset.sample_name + + storage_dir = os.path.join(mainfolder, experiment_name, sample_name) + os.makedirs(storage_dir, exist_ok=True) + + png_dir = os.path.join(storage_dir, 'png') + pdf_dif = os.path.join(storage_dir, 'pdf') + + os.makedirs(png_dir, exist_ok=True) + os.makedirs(pdf_dif, exist_ok=True) + + save_pdf = True + save_png = True + + if filename is not None: + f_name = f'{dataid}_{filename}' + elif transform_name is not None: + f_name = f'{dataid}_{transform_name}' + else: + f_name = f'{dataid}' + + for i, ax in enumerate(plots[0]): + if save_pdf: + full_path = os.path.join(pdf_dif, f'{f_name}_{i}.pdf') + ax.figure.tight_layout(pad=3) + ax.figure.savefig(full_path, dpi=500) + if save_png: + full_path = os.path.join(png_dir, f'{f_name}_{i}.png') + ax.figure.tight_layout(pad=3) + ax.figure.savefig(full_path, dpi=500) + return plots + +# Transform plot with user-defined functions +def transform_plot(axs_and_cbaxs: AxesTupleList, transform_name: str, *args): + + defined_functions = ['avg_row', 'avg_column', 'sub_avg_row' , 'sub_avg_column', + 'xcut', 'ycut'] + name_string = ', '.join(defined_functions) + + modified_axs = [] + modified_cbaxs = [] + for ax, cbax in zip(*axs_and_cbaxs): + if transform_name == 'avg_row': + mod_ax, mod_cbax = avg_heatmap(ax, cbax,'row') + elif transform_name == 'avg_column': + mod_ax, mod_cbax = avg_heatmap(ax, cbax,'column') + elif transform_name == 'sub_avg_row': + mod_ax, mod_cbax = sub_avg_heatmap(ax, cbax,'row') + elif transform_name == 'sub_avg_column': + mod_ax, mod_cbax = sub_avg_heatmap(ax, cbax,'column') + elif transform_name == 'xcut': + mod_ax, mod_cbax = linecut(ax, cbax,'x',*args) + elif transform_name == 'ycut': + mod_ax, mod_cbax = linecut(ax, cbax,'y',*args) + else: + raise ValueError('Transform name not defined. ' + f'Allowed names are: {name_string}.') + mod_ax.figure.tight_layout() + modified_axs.append(mod_ax) + modified_cbaxs.append(mod_cbax) + + return modified_axs, modified_cbaxs + +def get_axisdata(mesh: QuadMesh): + """ + Helper function for analysis functions to get the datapoints of + the x-, y-, and z-axis from a meshgrid's coordinates + """ + # Extract datapoints + coords = mesh._coordinates + bins_x = coords[0][:, 0] + delta = np.mean(np.diff(bins_x)) + xdata = bins_x[:-1] + delta/2 + + bins_y = coords[:, 0][:, 1] + delta = np.mean(np.diff(bins_y)) + ydata = bins_y[:-1] + delta/2 + + flat_data = mesh.get_array() + zdata = flat_data.reshape(len(ydata), len(xdata)).copy() + + return xdata, ydata, zdata.data.T + +def avg_heatmap( + ax: matplotlib.axes.Axes, + cbax: Optional[matplotlib.colorbar.Colorbar], + avg_dim: str) -> Tuple[matplotlib.axes.Axes, + Optional[matplotlib.colorbar.Colorbar]]: + """ + Take a pair of Axes, Colorbar and average along one dimension if the axis + holds a heatmap. Else just return the arguments unchanged. + """ + # If we receive anything we can't recognize as a heatmap on a grid, + # then we make no attempt of averaging, but just let the arguments + # slip through + if ax.collections == []: + return ax, cbax + + if len(ax.collections) > 1: + return ax, cbax + + mesh = ax.collections[0] + if not isinstance(mesh, QuadMesh): + return ax, cbax + + + xlabel = ax.get_xlabel() + ylabel = ax.get_ylabel() + zlabel = cbax._label + title = ax.get_title() + + data = get_axisdata(mesh) + + ax.clear() + avg_dim_int = {'column': 0, 'row': 1}[avg_dim] + ax.plot(data[avg_dim_int], np.mean(data[2].T, avg_dim_int)) + + new_xlabel = {'column': xlabel, 'row': ylabel}[avg_dim] + ax.set_xlabel(new_xlabel) + + ax.set_ylabel(zlabel) + new_title = f"{title}\nAveraged by {avg_dim}" + ax.set_title(new_title) + cbax.remove() + cbax = None + + return ax, cbax + +def linecut( + ax: matplotlib.axes.Axes, + cbax: Optional[matplotlib.colorbar.Colorbar], + cutdim: str, + value: float) -> Tuple[matplotlib.axes.Axes, + Optional[matplotlib.colorbar.Colorbar]]: + """ + Create linecut of from a heatmap + """ + # If we receive anything we can't recognize as a heatmap on a grid, + # then we make no attempt of averaging, but just let the arguments + # slip through + if ax.collections == []: + return ax, cbax + + if len(ax.collections) > 1: + return ax, cbax + + mesh = ax.collections[0] + if not isinstance(mesh, QuadMesh): + return ax, cbax + + + xlabel = ax.get_xlabel() + ylabel = ax.get_ylabel() + zlabel = cbax._label + title = ax.get_title() + + data = get_axisdata(mesh) + + # Find cut index based on nearest point to given value + if cutdim not in ['x', 'y']: + raise ValueError(f'Cutdim has to be row or column but was given {cutdim}') + cut_dim_int = {'x': 0, 'y': 1}[cutdim] + idx = (np.abs(data[cut_dim_int] - value)).argmin() + + if cutdim == 'x': + zdata = data[2][idx,:] + # Get cut value in correct units + cut_value = ax.xaxis.get_major_formatter()(data[cut_dim_int][idx]) + else: + zdata = data[2][:,idx] + cut_value = ax.yaxis.get_major_formatter()(data[cut_dim_int][idx]) + + ax.clear() + ax.plot(data[np.mod(cut_dim_int+1,2)], zdata) + + new_xlabel = {'y': xlabel, 'x': ylabel}[cutdim] + ax.set_xlabel(new_xlabel) + + ax.set_ylabel(zlabel) + fixed_label = {'x': xlabel, 'y': ylabel}[cutdim] + new_title = f"{title}\nLine cut at: {fixed_label} = {cut_value}" + ax.set_title(new_title) + cbax.remove() + cbax = None + return ax, cbax + +def sub_avg_heatmap( + ax: matplotlib.axes.Axes, + cbax: Optional[matplotlib.colorbar.Colorbar], + avg_dim: str) -> Tuple[matplotlib.axes.Axes, + Optional[matplotlib.colorbar.Colorbar]]: + """ + Take a pair of Axes, Colorbar and subtract average along one dimension if the + axis holds a heatmap. Else just return the arguments unchanged. + """ + # If we receive anything we can't recognize as a heatmap on a grid, + # then we make no attempt of averaging, but just let the arguments + # slip through + if ax.collections == []: + return ax, cbax + + if len(ax.collections) > 1: + return ax, cbax + + mesh = ax.collections[0] + if not isinstance(mesh, QuadMesh): + return ax, cbax + + + zlabel = cbax._label + + data = get_axisdata(mesh) + + avg_dim_int = {'column': 0, 'row': 1}[avg_dim] + if avg_dim_int == 0: + for i in range(np.shape(data[2])[0]): + data[2][i,:] -= np.nanmean(data[2][i,:]) + if avg_dim_int == 1: + for i in range(np.shape(data[2])[1]): + data[2][:,i] -= np.nanmean(data[2][:,i]) + mesh.set_array(np.transpose(data[2]).ravel()) + mesh.autoscale() + + new_cblabel = f"{zlabel}\n - {avg_dim}-average" + cbax.set_label(new_cblabel) + + return ax, cbax