for voltage in voltages:
fig = plt.figure()
comp_color_map.reset()
for number, root_dir in enumerate(root_dirs):
data =[]
for temperature in temperatures:
next_frame = input_frame[(input_frame.root_dir == root_dir) & (input_frame.temperature == temperature) &
(input_frame.pressure == pressure) & (input_frame.voltage == voltage)]
data.append(next_frame.result.tolist())
if plot_violin:
fplot.plot_violin(data, each_dir_data_positions[number], body_color = comp_color_map.get_color(False), opacity = opacity)
if plot_box:
fplot.plot_box(data, each_dir_data_positions[number], box_color = "k")
if plot_swarm:
fplot.plot_swarm(data, each_dir_data_positions[number], color=comp_color_map.get_color(False), marker ="o", ms=10, diff=0.1)
else:
pass
fplot.add_label(root_dir.replace('_',' '), comp_color_map.get_color(True), line_width = 0, line_style = '-', marker = 'o', marker_size = 10)
fplot.modify_ticks(temperatures, labels_positions, action = "clear")
plt.xlim(labels_positions[0]-2, labels_positions[len(labels_positions)-1]+2)
if pressure == 4500:
plt.plot(labels_positions, [-700,-700,-700,-700,-500,-700], 'k', ls = '--')
if pressure == 8500:
plt.plot(labels_positions, [ 700, 700, 700, 700, 500, 700], 'k', ls = '--')
if pressure == 6000:
plt.plot(labels_positions, [-700,-700,-700,-700,-500,-700], 'k', ls = '--')
plt.plot(labels_positions, [ 700, 700, 700, 700, 500, 700], 'k', ls = '--')
else:
import matplotlib.pyplot as plt
import pandas as pd
import functions_io as fio
import functions_csv as fcsv
import functions_plot as fplot
import functions_excel as fexcel
import functions_data_processing as fdp
fplot.set_rc_params(font_size_offset=4)
path = r'X:/Dnox/Tesla/2017/E1700224-08/data/recording/ecr_samples.xlsx'
frame = pd.read_excel(path, usecols=[0, 1]).dropna()
ecr_maxima = frame["Maximum force"].tolist()
fplot.plot_swarm([ecr_maxima], [1], color='b')
fplot.plot_violin([ecr_maxima], [1])
path = r'X:/Dnox/Tesla/2017/E1700224-08/data/recording/serial_samples.xlsx'
frame = pd.read_excel(path, usecols=[0, 1]).dropna()
series_maxima = frame["Maximum force"].tolist()
fplot.plot_violin([series_maxima], [2], body_color='g')
fplot.plot_swarm([series_maxima], [2], color='g')
fplot.set_plot_config(xa_label='sample groups sequence',
ya_label='Force [N]',
title='',
xlim=[0, 3],
ylim=[None, None])
fplot.modify_ticks(['ecr samples', 'series samples'], [1, 2])