Python Plot示例

示例#1

from scipy import stats
from matplotlib.pyplot import errorbar

#Include your library path in sys
#sys.path.append(os.path.dirname(os.path.dirname(__file__)))
#sys.path.append(os.getcwd())

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.pltgraph import scale
from graph_library.csvreader import csv_data

save_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\addFigure'
data_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\data\\1.1.1k.t.csv'
data = csv_data(data_path)
Plot(data['V2'], data['V1'], 'V', 'V', '$V_{in}$', '$V_{out}$', '1.1.hys',
     save_path, False, 'pdf')

data_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\data\\1.2.1k.t.csv'
data = csv_data(data_path)
Plot(data['V2'], data['V1'], 'V', 'V', '$V_{in}$', '$V_{out}$', '1.2.hys',
     save_path, False, 'pdf')

# data_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\data\\1.1.1k.t.csv'
# data = csv_data(data_path)
# Plot([data['time'], data['time']], [data['V1'], data['V2']], 's', 'V', '$time$', '$voltage$', '1.1.1k.t', save_path, False, 'pdf', labels = ('$V_{out}$', '$V_{in}$'))

# data_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\data\\1.1.10.s.csv'
# data = csv_data(data_path)
# Plot([data['time'], data['time']], [data['V1'], data['V2']], 's', 'V', '$time$', '$voltage$', '1.1.10.s', save_path, False, 'pdf', labels = ('$V_{out}$', '$V_{in}$'))

# data_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\data\\1.2.1k.c.csv'

示例#2

import os
import sys
import numpy as np
import pandas as pd

#Include your library path in sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(__file__)))))

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.csvreader import csv_data

#save_path = save figure
#data_path = csv file path
save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'figure')
data_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'data\\exp1\\2N3904\\2000.11.12.exp_3-1-2_1kOhm_I_E_V_BE.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path)
X = data['V2']
Y = data['V1']/1000
Plot(X, Y , X_unit = 'V', Y_unit = 'A', X_name = '$V_{BE}$', Y_name = '$I_{E}$', graph_name = '2N3904_IE_VBE', save_path = save_path, linear_fit = False, File_format = 'jpg')

示例#3

sys.path.append(
    os.path.dirname(os.path.dirname(os.path.dirname(
        os.path.dirname(__file__)))))

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.csvreader import csv_data

#save_path = save figure
#data_path = csv file path
save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'figure')
data_path = os.path.join(
    os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
    'data\\exp3\\5_Module2sine_1kHz_OP97F_1V_10kOhm.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path)
X = [data['time'], data['time']]
Y = [data['V1'], data['V2']]
Plot(X,
     Y,
     X_unit='s',
     Y_unit='V',
     X_name='$t$',
     Y_name='$V_{in}, V_{out}$',
     graph_name='exp3_5_output_saturation',
     save_path=save_path,
     linear_fit=False,
     File_format='jpg',
     labels=('$V_{in}$', '$V_{out}$'))

示例#4

#Include your library path in sys
sys.path.append(
    os.path.dirname(os.path.dirname(os.path.dirname(
        os.path.dirname(__file__)))))

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.csvreader import csv_data

#save_path = save figure
#data_path = csv file path
save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'figure')
data_path = os.path.join(
    os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
    'data\\exp1\\2N3906\\exp_I_B_I_C_sameasprev.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path)
X = data['V1'] / 1e5
Y = data['V2'] / 100
Plot(X,
     Y,
     X_unit='A',
     Y_unit='A',
     X_name='$I_{B}$',
     Y_name='$I_{C}$',
     graph_name='2N3906_IB_IC',
     save_path=save_path,
     linear_fit=True,
     File_format='jpg')

示例#5

文件： CEA_V_in_V_BE_adjustable_change_2.py 项目： sshskjh/measurement

sys.path.append(
    os.path.dirname(os.path.dirname(os.path.dirname(
        os.path.dirname(__file__)))))

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.csvreader import csv_data

#save_path = save figure
#data_path = csv file path
save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'figure')
data_path = os.path.join(
    os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
    'data\\exp2\\exp2.1\\Vin_VBE_R_adjustable_changed_2.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path, [0, 3000])
X = [data['time'], data['time']]
Y = [data['V1'], data['V2']]
Plot(X,
     Y,
     X_unit='s',
     Y_unit='V',
     X_name='t',
     Y_name='$V_{in}, V_{BE}$',
     graph_name='CEA_V_in_V_BE_2',
     save_path=save_path,
     linear_fit=False,
     File_format='jpg',
     labels=('$V_{in}$', '$V_{BE}$'))

示例#6

from graph_library.csvreader import csv_data

#save_path = save figure
#data_path = csv file path
save_path = os.path.join(os.path.dirname(__file__), 'figure')
data_path = os.path.join(
    os.path.dirname(os.path.dirname(__file__)),
    'data\\exp_0.6_1.6_.._4.6_tri_0_5V_100kOhm_100Ohm_IB_VCE.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path)

# variables in Plot
# Plot(X = data['V1'], Y = data['V2'], X_unit = 'V', Y_unit = 'V', X_name = '$V_1$', Y_name = '$V_2$', graph_name = 'example', save_path = save_path, linear_fit = True, File_format = 'pdf', label = 'None')
# default: linear_fit = False, File_format = 'pdf'

# single plot and linear regression
Plot(data['V1'], data['V2'], 'V', 'V', '$V_1$', '$V_2$', 'example1', save_path,
     True, 'jpg')

# multi plot
Plot([data['time'], data['time']], [data['V1'], data['V2']],
     's',
     'V',
     '$t$',
     '$V_{1}, V_{2}$',
     'example2',
     save_path,
     False,
     'png',
     labels=('$V_{1}$', '$V_{2}$'))

示例#7

sys.path.append(
    os.path.dirname(os.path.dirname(os.path.dirname(
        os.path.dirname(__file__)))))

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.csvreader import csv_data

#save_path = save figure
#data_path = csv file path
save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'figure')
data_path = os.path.join(
    os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
    'data\\exp3\\3_Module2sine_1kHz_10kOhm_OP97F.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path)
X = [data['time'], data['time']]
Y = [data['V1'], data['V2']]
Plot(X,
     Y,
     X_unit='s',
     Y_unit='V',
     X_name='$t$',
     Y_name='$V_{in}, V_{out}$',
     graph_name='exp3_3_buffer_10kOhm',
     save_path=save_path,
     linear_fit=False,
     File_format='jpg',
     labels=('$V_{in}$', '$V_{out}$'))

示例#8

文件： SBNF_V_CE.py 项目： sshskjh/measurement

sys.path.append(
    os.path.dirname(os.path.dirname(os.path.dirname(
        os.path.dirname(__file__)))))

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.csvreader import csv_data

#save_path = save figure
#data_path = csv file path
save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'figure')
data_path = os.path.join(
    os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
    'data\\exp2\\exp2.2\\Self-biased_negative_feedback_V_CE.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path, [0, 3000])
X = [data['time'], data['time']]
Y = [data['V1'], data['V2']]
Plot(X,
     Y,
     X_unit='s',
     Y_unit='V',
     X_name='$t$',
     Y_name='$V_{in}, V_{CE}$',
     graph_name='SBNF_V_CE',
     save_path=save_path,
     linear_fit=False,
     File_format='jpg',
     labels=('$V_{in}$', '$V_{CE}$'))

示例#9

文件： 7_non_inverting.py 项目： sshskjh/measurement

R_list = [1, 2.5, 2, 3, 5]
R_list = [2.5]

for R in R_list:
    save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)),
                             'figure')
    data_path = os.path.join(
        os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
        'data\\exp3\\7_Module2sine_1kHz_OP97F_sine_1V_1kOhm_' + str(R) +
        'kOhm.csv')

    #data = dictionary format data from WaveForms exported raw data
    data = csv_data(data_path)
    X = [data['time'], data['time']]
    Y = [data['V1'], data['V2']]

    print(min(data['V2']), max(data['V2']), np.average(data['V2']))
    print(min(data['V1']), max(data['V1']), np.average(data['V1']))
    Plot(X,
         Y,
         X_unit='s',
         Y_unit='V',
         X_name='$t$',
         Y_name='$V_{in}, V_{out}$',
         graph_name='exp3_7_non_inverting_' + str(R) + 'kOhm',
         save_path=save_path,
         linear_fit=False,
         File_format='jpg',
         labels=('$V_{in}$', '$V_{out}$'))

示例#10

#Include your library path in sys
sys.path.append(
    os.path.dirname(os.path.dirname(os.path.dirname(
        os.path.dirname(__file__)))))

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.csvreader import csv_data

#save_path = save figure
#data_path = csv file path
save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'figure')
data_path = os.path.join(
    os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
    'data\\exp1\\2N3906\\exp_V_CE_IC_sameasprev.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path)
X = data['V1']
Y = data['V2'] / 100
Plot(X,
     Y,
     X_unit='V',
     Y_unit='A',
     X_name='$V_{CE}$',
     Y_name='$I_{C}$',
     graph_name='2N3906_IC_VCE',
     save_path=save_path,
     linear_fit=False,
     File_format='jpg')

示例#11

import os
import sys
import numpy as np
import pandas as pd

#Include your library path in sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(__file__)))))

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.csvreader import csv_data

#save_path = save figure
#data_path = csv file path

DC_list = [1, 2, 3, 4, 5, 6, 7, 8, 9]
#DC_list = [8]

for DC in DC_list:
    save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'figure')
    data_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'data\\exp3\\6_Module2sine_1kHz_OP97F_sine_0.5V_DC'+str(DC)+'00mV.csv')

    #data = dictionary format data from WaveForms exported raw data
    data = csv_data(data_path)
    X = [data['time'], data['time']]
    Y = [data['V1'], data['V2']]
    #print(min(data['V2']), max(data['V2']), np.average(data['V2']))
    #print(min(data['V1']), max(data['V1']), np.average(data['V1']))
    Plot(X, Y , X_unit = 's', Y_unit = 'V', X_name = '$t$', Y_name = '$V_{in}, V_{out}$', graph_name = 'exp3_6_summing_circuit_DC'+str(DC)+'00mV', save_path = save_path, linear_fit = False, File_format = 'jpg', labels = ('$V_{in}$','$V_{out}$'))

示例#12

#Include your library path in sys
sys.path.append(
    os.path.dirname(os.path.dirname(os.path.dirname(
        os.path.dirname(__file__)))))

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.csvreader import csv_data

#save_path = save figure
#data_path = csv file path
save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'figure')
data_path = os.path.join(
    os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
    'data\\exp1\\ZVN2110A\\NMOS_ID_vs_VGS_XY_plot_100Ohm.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path)
X = data['V1']
Y = data['V2'] / 100
Plot(X,
     Y,
     X_unit='V',
     Y_unit='A',
     X_name='$V_{GS}$',
     Y_name='$I_{D}$',
     graph_name='ZVN2110A_I_D_V_GS',
     save_path=save_path,
     linear_fit=False,
     File_format='jpg')

示例#13

文件： diff_log.py 项目： sshskjh/measurement

#save_path = save figure
#data_path = csv file path
save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'figure')
data_path_1 = os.path.join(
    os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
    'data\\exp1\\2N3906\\2000.11.12.exp_3-1-2_1kOhm_I_E_V_BE_pnp.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path_1)
X_6 = -data['V2']
Y_6 = -data['V1'] / 1000

data_path_2 = os.path.join(
    os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
    'data\\exp1\\2N3904\\2000.11.12.exp_3-1-2_1kOhm_I_E_V_BE.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path_2)
X_4 = data['V2']
Y_4 = data['V1'] / 1000
Plot([X_4, X_6], [Y_4, Y_6],
     X_unit='V',
     Y_unit='A',
     X_name='$V_{BE}$',
     Y_name='$I_{E}$',
     graph_name='both_I_E_V_BE',
     save_path=save_path,
     linear_fit=False,
     File_format='jpg',
     labels=['2N3904', '2N3906'])

示例#14

文件： ZVN2110A_I_D_V_DS_offset_1.7.py 项目： sshskjh/measurement

        os.path.dirname(__file__)))))

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.csvreader import csv_data

#save_path = save figure
#data_path = csv file path
save_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'figure')
data_path = os.path.join(
    os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
    'data\\exp1\\ZVN2110A\\NMOS_VDS_vs_ID_stair_offset_1.7.csv')

#data = dictionary format data from WaveForms exported raw data
data = csv_data(data_path, [0, 4000])
V_tot = data['V1'] + data['V2']
X = np.array([data['time'], data['time']])
Y = np.array([data['V1'], data['V2']])
Plot(X,
     Y,
     X_unit='s',
     Y_unit='V',
     X_name='$t$',
     Y_name='$V_{DS}, I_{D}R_{1}$',
     graph_name='ZVN2110A_I_D_V_DS_Offset_1.7',
     save_path=save_path,
     linear_fit=False,
     File_format='jpg',
     labels=['$V_{DS}$', '$I_{D}R_{1}$'])

plt.show()

示例#15

文件： plot3.py 项目： GiraffaGiraffa/measurement_graph

import sys
import numpy as np
import pandas as pd

#Include your library path in sys
#sys.path.append(os.path.dirname(os.path.dirname(__file__)))
#sys.path.append(os.getcwd())

#Include your Library
from graph_library.pltgraph import Plot
from graph_library.csvreader import csv_data

save_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\figure'
data_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\data\\3.0.1.csv'
data = csv_data(data_path)
Plot(data['time'], data['V1'], 's', 'V', '$time$', '$voltage$', '3.0.1', save_path, False, 'pdf', labels = ('$V_{out}$'))

data_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\data\\3.0.2.csv'
data = csv_data(data_path)
Plot(data['time'], data['V1'], 's', 'V', '$time$', '$voltage$', '3.0.2', save_path, False, 'pdf', labels = '$V_{out}$')

data_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\data\\3.0.3.csv'
data = csv_data(data_path)
Plot(data['time'], data['V1'], 's', 'V', '$time$', '$voltage$', '3.0.3', save_path, False, 'pdf', labels = '$V_{out}$')

data_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\data\\3.0.4.csv'
data = csv_data(data_path)
Plot(data['time'], data['V1'], 's', 'V', '$time$', '$voltage$', '3.0.4', save_path, False, 'pdf', labels = '$V_{out}$')

data_path = 'C:\\Users\\giraa\\source\\repos\\measurement_graph\\data\\3.0.5.csv'
data = csv_data(data_path)