temperature_diff = 1
pressure_offset = 000
# p_diff graphs
plot_p_diff = 1
plot_p_MSP = 1
plot_p_BMP = 1
# comparison graphs
plot_violin = 1
opacity = 0
plot_swarm = 1
plot_box = 0
p_diff_color_map = fplot.C_map(['red','blue', 'green'])
comp_color_map = fplot.C_map(['red', 'green', 'blue', 'grey'])
fplot.set_rc_params(font_size_offset = 6, figsize = (1400,600), linewidth = 4, markersize = 7)
temperatures = [-8, -5, 0 , 10 , 22, 40]
voltages = [10.5, 13.5, 15.5]
pressures = [4500, 6000, 8500]
valid_measurements = 50
"""
# =============================================================================
# end of user settings
# =============================================================================
"""
def time_stamp_to_time_diff(time_stamp, formatt="%H:%M:%S"):
times = []
start = dt.datetime.strptime(time_stamp[0], formatt)
for time in time_stamp:
current = dt.datetime.strptime(time, formatt)
timedelta = current - start
times.append(timedelta.total_seconds())
return times
fplot.set_rc_params(font_size_offset=0,
figsize=(1400, 600),
linewidth=2,
markersize=6)
path = r'X:\Dnox\Erprobung\13_Data_transfer\Carda\BFP_volumetric_bypass_test\Logged data-7.5V-10.01A'
# =============================================================================
#
# =============================================================================
filesa = fio.get_files(path, contains=['A0'], extension=['csv'])
filesaa = fio.get_files(path, contains=['A1'], extension=['csv'])
filesa = filesa + filesaa
for file in filesa:
print(file)
dataframe = pd.read_csv(file, sep=';', decimal=',')
weight = dataframe[r'Weight [g]'].tolist()
"""
Created on Tue May 29 20:09:30 2018
@author: zdenek
"""
import os
import sys
sys.path.append('D:/scripts')
import numpy as np
import pandas as pd
import functions_io as fio
import functions_plot as fplot
import matplotlib.pyplot as plt
import functions_data_processing as fdproc
pd.options.display.max_colwidth = 1500
fplot.set_rc_params()
cwd = fio.get_script_dir(__file__)
plt.ioff()
"""
# =============================================================================
# user settings
# =============================================================================
#"""
used_dirs_keys = []
skip_rows = 1
low_threshold = 1
high_threshold = 5
max_marker = 'o'
min_marker = 'o'
""" Created on Wed May 30 12:56:28 2018 @author: CAZ2BJ """ import numpy as np 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')
