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simpleGraph.py
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simpleGraph.py
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import matplotlib.pyplot as plt
import os
import numpy as np
def threshold_final(df, threshold, title, filepath, ctrl_num, isShow, isCondense):
filename = os.path.splitext(filepath)[0]
if (isCondense) :
df = df.groupby(np.arange(len(df))//60).mean()
print("Data condensed\n")
ax = df.plot()
ax_ctrl = df.reset_index().plot(x = 'index', y = ctrl_num, kind = 'scatter', ax = ax, c = "b")
time_tick = []
for i in range(1, len(df.columns) + 1) :
if (i != ctrl_num) :
green_list = df.iloc[:, (i - 1)][df.iloc[:, (i - 1)] < df.iloc[:, (ctrl_num - 1)] * threshold].index.tolist()
colors = np.where(df.iloc[:, (i - 1)] > df.iloc[:, (ctrl_num - 1)]*threshold, 'r', 'g')
ax_i = df.reset_index().plot(x = 'index', y = i, kind = 'scatter', ax = ax, c = colors, marker = "|")
if (len(green_list) > 10) :
for j in range(2, len(green_list) - 10) :
if (green_list[j] + 10 == green_list[j + 10]) :
time_tick.append(green_list[j])
break
else :
time_tick.append('No valid colour shift detected')
ax.set_xlabel("Time(min)")
ax.set_ylabel("Growth(dB)")
ax.legend(title = (str)(threshold * 100) + " % threshold")
ax.title.set_text(title)
txt = 'Colour shift info: \n'
if (ctrl_num > len(time_tick)) :
for i in range (0, len(time_tick)) :
if (isinstance(time_tick[i], int)) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " minute\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " minute"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i] + ' \n'
txt = txt + 'Channel ' + str(ctrl_num) + ': ' + df.columns[ctrl_num - 1] + " (Control)"
else:
for i in range (0, len(time_tick) + 1) :
if (i + 1 == ctrl_num) :
txt = txt + 'Channel ' + str(i + 1) + ': ' + df.columns[i] + " (Control)\n"
elif (isinstance(time_tick[i - 1], int)) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " minute\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " minute"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i - 1] + ' \n'
fig = ax.get_figure()
if (isShow) :
fig.text(0.45, -0.06, txt, ha = 'left', bbox = dict(facecolor = 'red', alpha = 0.35))
fig.set_size_inches(16, 9, forward = True)
fig.savefig(filename + '_' + (str)(threshold * 100) + '%_threshold_min.png', dpi = 120, bbox_inches = "tight")
plt.show()
else:
ax = df.plot()
ax_ctrl = df.reset_index().plot(x = 'index', y = ctrl_num, kind = 'scatter', ax = ax, c = "b")
time_tick = []
for i in range(1, len(df.columns) + 1) :
if (i != ctrl_num) :
green_list = df.iloc[:, (i - 1)][df.iloc[:, (i - 1)] < df.iloc[:, (ctrl_num - 1)] * threshold].index.tolist()
colors = np.where(df.iloc[:, (i - 1)] > df.iloc[:, (ctrl_num - 1)]*threshold, 'r', 'g')
ax_i = df.reset_index().plot(x = 'index', y = i, kind = 'scatter', ax = ax, c = colors, marker = "|")
if (len(green_list) > 700) :
for j in range(120, len(green_list) - 100) :
if (green_list[j] + 480 == green_list[j + 480]) :
time_tick.append(green_list[j])
break
else :
time_tick.append('No valid colour shift detected')
ax.set_xlabel("Time(sec)")
ax.set_ylabel("Growth(dB)")
ax.legend(title = (str)(threshold * 100) + " % threshold")
ax.title.set_text(title)
txt = 'Colour shift info: \n'
if (ctrl_num > len(time_tick)) :
for i in range (0, len(time_tick)) :
if (isinstance(time_tick[i], int)) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " second\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " second"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i] + ' \n'
txt = txt + 'Channel ' + str(ctrl_num) + ': ' + df.columns[ctrl_num - 1] + " (Control)"
else:
for i in range (0, len(time_tick) + 1) :
if (i + 1 == ctrl_num) :
txt = txt + 'Channel ' + str(i + 1) + ': ' + df.columns[i] + " (Control)\n"
elif (isinstance(time_tick[i - 1], int)) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " second\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " second"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i - 1] + ' \n'
fig = ax.get_figure()
if (isShow) :
fig.text(0.45, -0.08, txt, ha = 'left', bbox = dict(facecolor = 'red', alpha = 0.35))
fig.set_size_inches(16, 9, forward = True)
fig.savefig(filename + '_' + (str)(threshold * 100) + '%_threshold.png', dpi = 120, bbox_inches = "tight")
plt.show()
def threshold_zoom(df, threshold, title, filepath, ctrl_num, isShow, isCondense, xmax, xmin, ymax, ymin):
filename = os.path.splitext(filepath)[0]
if (isCondense) :
df = df.groupby(np.arange(len(df))//60).mean()
print("Data condensed\n")
ax = df.plot()
ax_ctrl = df.reset_index().plot(x = 'index', y = ctrl_num, kind = 'scatter', ax = ax, c = "b")
time_tick = []
for i in range(1, len(df.columns) + 1) :
if (i != ctrl_num) :
green_list = df.iloc[:, (i - 1)][df.iloc[:, (i - 1)] < df.iloc[:, (ctrl_num - 1)] * threshold].index.tolist()
colors = np.where(df.iloc[:, (i - 1)] > df.iloc[:, (ctrl_num - 1)]*threshold, 'r', 'g')
ax_i = df.reset_index().plot(x = 'index', y = i, kind = 'scatter', ax = ax, c = colors, marker = "|")
if (len(green_list) > 10) :
for j in range(2, len(green_list) - 10) :
if (green_list[j] + 10 == green_list[j + 10]) :
time_tick.append(green_list[j])
break
else :
time_tick.append('No valid colour shift detected')
ax.set_xlabel("Time(min)")
ax.set_ylabel("Growth(dB)")
ax.legend(title = (str)(threshold * 100) + " % threshold")
ax.title.set_text(title)
txt = 'Colour shift info: \n'
if (ctrl_num > len(time_tick)) :
for i in range (0, len(time_tick)) :
if (isinstance(time_tick[i], int)) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " minute\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " minute"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i] + ' \n'
txt = txt + 'Channel ' + str(ctrl_num) + ': ' + df.columns[ctrl_num - 1] + " (Control)"
else:
for i in range (0, len(time_tick) + 1) :
if (i + 1 == ctrl_num) :
txt = txt + 'Channel ' + str(i + 1) + ': ' + df.columns[i] + " (Control)\n"
elif (isinstance(time_tick[i - 1], int)) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " minute\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " minute"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i - 1] + ' \n'
fig = ax.get_figure()
fig.set_size_inches(16, 9, forward = True)
if (isShow) :
fig.text(0.45, -0.06, txt, ha = 'left', bbox = dict(facecolor = 'red', alpha = 0.35))
ax_zoom = ax
ax_zoom.set_xlim([xmin, xmax])
ax_zoom.set_ylim([ymin, ymax])
fig = ax_zoom.get_figure()
fig.savefig(filename + '_' + (str)(threshold * 100) + '%_threshold_min_zoom.png', dpi = 120, bbox_inches = "tight")
plt.show()
else:
ax = df.plot()
ax_ctrl = df.reset_index().plot(x = 'index', y = ctrl_num, kind = 'scatter', ax = ax, c = "b")
time_tick = []
for i in range(1, len(df.columns) + 1) :
if (i != ctrl_num) :
green_list = df.iloc[:, (i - 1)][df.iloc[:, (i - 1)] < df.iloc[:, (ctrl_num - 1)] * threshold].index.tolist()
colors = np.where(df.iloc[:, (i - 1)] > df.iloc[:, (ctrl_num - 1)]*threshold, 'r', 'g')
ax_i = df.reset_index().plot(x = 'index', y = i, kind = 'scatter', ax = ax, c = colors, marker = "|")
if (len(green_list) > 700) :
for j in range(120, len(green_list) - 100) :
if (green_list[j] + 480 == green_list[j + 480]) :
time_tick.append(green_list[j])
break
else :
time_tick.append('No valid colour shift detected')
ax.set_xlabel("Time(sec)")
ax.set_ylabel("Growth(dB)")
ax.legend(title = (str)(threshold * 100) + " % threshold")
ax.title.set_text(title)
txt = 'Colour shift info: \n'
if (ctrl_num > len(time_tick)) :
for i in range (0, len(time_tick)) :
if (isinstance(time_tick[i], int)) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " second\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " second"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i] + ' \n'
txt = txt + 'Channel ' + str(ctrl_num) + ': ' + df.columns[ctrl_num - 1] + " (Control)"
else:
for i in range (0, len(time_tick) + 1) :
if (i + 1 == ctrl_num) :
txt = txt + 'Channel ' + str(i + 1) + ': ' + df.columns[i] + " (Control)\n"
elif (isinstance(time_tick[i - 1], int)) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " second\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " second"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i - 1] + ' \n'
fig = ax.get_figure()
fig.set_size_inches(16, 9, forward = True)
if (isShow) :
fig.text(0.45, -0.06, txt, ha = 'left', bbox = dict(facecolor = 'red', alpha = 0.35))
ax_zoom = ax
ax_zoom.set_xlim([xmin, xmax])
ax_zoom.set_ylim([ymin, ymax])
fig = ax_zoom.get_figure()
fig.savefig(filename + '_' + (str)(threshold * 100) + '%_threshold_zoom.png', dpi = 120, bbox_inches = "tight")
plt.show()
def threshold_errorbar(df, error, threshold, title, filepath, ctrl_num, isShow, isCondense):
filename = os.path.splitext(filepath)[0]
if (isCondense) :
df = df.groupby(np.arange(len(df))//60).mean()
error = error[error.index % 60 == 0]
error = error.reset_index(drop = True)
print("Data condensed\n")
ax = df.plot(yerr = error, linestyle = '-', linewidth = 0.65)
ax_ctrl = df.reset_index().plot(x = 'index', y = ctrl_num, kind = 'scatter', ax = ax, c = "b")
time_tick = []
for i in range(1, len(df.columns) + 1) :
if (i != ctrl_num) :
green_list = df.iloc[:, (i - 1)][df.iloc[:, (i - 1)] < df.iloc[:, (ctrl_num - 1)] * threshold].index.tolist()
colors = np.where(df.iloc[:, (i - 1)] > df.iloc[:, (ctrl_num - 1)]*threshold, 'r', 'g')
ax_i = df.reset_index().plot(x = 'index', y = i, kind = 'scatter', ax = ax, c = colors, marker = ".")
if (isCondense) :
if (len(green_list) > 10) :
for i in range(2, len(green_list) - 10) :
if (green_list[i] + 10 == green_list[i + 10]) :
time_tick.append(green_list[i])
break
else :
time_tick.append('No valid colour shift detected')
else :
if (len(green_list) > 700) :
for i in range(120, len(green_list) - 100) :
if (green_list[i] + 480 == green_list[i + 480]) :
time_tick.append(green_list[i])
break
else :
time_tick.append('No valid colour shift detected')
if (isCondense) :
ax.set_xlabel("Time(min)")
else :
ax.set_xlabel("Time(sec)")
ax.set_ylabel("Growth(dB)")
ax.legend(title = (str)(threshold * 100) + " % threshold")
ax.title.set_text(title)
txt = 'Colour shift info: \n'
if (ctrl_num > len(time_tick)) :
for i in range (0, len(time_tick)) :
if (isinstance(time_tick[i], int) and isCondense == False) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " second\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " second"
elif (isinstance(time_tick[i], int) and isCondense == True) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " minute\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " minute"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i] + ' \n'
txt = txt + 'Channel ' + str(ctrl_num) + ': ' + df.columns[ctrl_num - 1] + " (Control)"
else:
for i in range (0, len(time_tick) + 1) :
if (i + 1 == ctrl_num) :
txt = txt + 'Channel ' + str(i + 1) + ': ' + df.columns[i] + " (Control)\n"
elif (isinstance(time_tick[i - 1], int) and isCondense == False) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " second\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " second"
elif (isinstance(time_tick[i - 1], int) and isCondense == True) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " minute\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " minute"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i - 1] + ' \n'
fig_e = ax.get_figure()
if (isShow) :
fig_e.text(0.45, -0.08, txt, ha = 'left', bbox = dict(facecolor = 'green', alpha = 0.35))
fig_e.set_size_inches(16, 9, forward = True)
if (isCondense) :
fig_e.savefig(filename + '_' + (str)(threshold * 100) + '%_threshold_min_errorbar.png', dpi = 120, bbox_inches = "tight")
else :
fig_e.savefig(filename + '_' + (str)(threshold * 100) + '%_threshold_errorbar.png', dpi = 120, bbox_inches = "tight")
plt.show()
def threshold_error_zoom(df, error, threshold, title, filepath, ctrl_num, isShow, isCondense, xmax, xmin, ymax, ymin):
filename = os.path.splitext(filepath)[0]
if (isCondense) :
df = df.groupby(np.arange(len(df))//60).mean()
error = error[error.index % 60 == 0]
error = error.reset_index(drop = True)
print("Data condensed\n")
ax = df.plot(yerr = error, linestyle = '-', linewidth = 0.65)
ax_ctrl = df.reset_index().plot(x = 'index', y = ctrl_num, kind = 'scatter', ax = ax, c = "b")
time_tick = []
for i in range(1, len(df.columns) + 1) :
if (i != ctrl_num) :
green_list = df.iloc[:, (i - 1)][df.iloc[:, (i - 1)] < df.iloc[:, (ctrl_num - 1)] * threshold].index.tolist()
colors = np.where(df.iloc[:, (i - 1)] > df.iloc[:, (ctrl_num - 1)]*threshold, 'r', 'g')
ax_i = df.reset_index().plot(x = 'index', y = i, kind = 'scatter', ax = ax, c = colors, marker = ".")
if (isCondense) :
if (len(green_list) > 10) :
for i in range(2, len(green_list) - 10) :
if (green_list[i] + 10 == green_list[i + 10]) :
time_tick.append(green_list[i])
break
else :
time_tick.append('No valid colour shift detected')
else :
if (len(green_list) > 700) :
for i in range(120, len(green_list) - 100) :
if (green_list[i] + 480 == green_list[i + 480]) :
time_tick.append(green_list[i])
break
else :
time_tick.append('No valid colour shift detected')
if (isCondense) :
ax.set_xlabel("Time(min)")
else :
ax.set_xlabel("Time(sec)")
ax.set_ylabel("Growth(dB)")
ax.legend(title = (str)(threshold * 100) + " % threshold")
ax.title.set_text(title)
txt = 'Colour shift info: \n'
if (ctrl_num > len(time_tick)) :
for i in range (0, len(time_tick)) :
if (isinstance(time_tick[i], int) and isCondense == False) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " second\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " second"
elif (isinstance(time_tick[i], int) and isCondense == True) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " minute\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i]) + " minute"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i] + ' \n'
txt = txt + 'Channel ' + str(ctrl_num) + ': ' + df.columns[ctrl_num - 1] + " (Control)"
else:
for i in range (0, len(time_tick) + 1) :
if (i + 1 == ctrl_num) :
txt = txt + 'Channel ' + str(i + 1) + ': ' + df.columns[i] + " (Control)\n"
elif (isinstance(time_tick[i - 1], int) and isCondense == False) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " second\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " second"
elif (isinstance(time_tick[i - 1], int) and isCondense == True) :
if (i < len(time_tick)) :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " minute\n"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' at ' + str(time_tick[i - 1]) + " minute"
else :
txt = txt + 'Channel ' + str(i + 1) + ': '+ df.columns[i] + ' ' + time_tick[i - 1] + ' \n'
fig = ax.get_figure()
if (isShow):
fig.text(0.45, -0.08, txt, ha = 'left', bbox = dict(facecolor = 'green', alpha = 0.35))
fig.set_size_inches(16, 9, forward = True)
ax_zoom = ax
ax_zoom.set_xlim([xmin, xmax])
ax_zoom.set_ylim([ymin, ymax])
fig = ax_zoom.get_figure()
if (isCondense) :
fig.savefig(filename + '_' + (str)(threshold * 100) + '%_threshold_min_errorbar.png', dpi = 120, bbox_inches = "tight")
else :
fig.savefig(filename + '_' + (str)(threshold * 100) + '%_threshold_errorbar.png', dpi = 120, bbox_inches = "tight")
plt.show()
'''
SIMPLE STARTERS
'''
def graph(data, filepath):
filename = os.path.splitext(filepath)[0]
ax_sec = data.plot()
ax_sec.set_xlabel("Time(sec)")
ax_sec.set_ylabel("Growth(dB)")
fig = ax_sec.get_figure()
fig.set_size_inches(16, 9)
fig.savefig(filename + 'sec_fig.png', dpi = 120)
df = data.groupby(np.arange(len(data))//60).mean()
ax = df.plot()
fig = ax.get_figure()
ax.set_xlabel("Time(min)")
ax.set_ylabel("Growth(dB)")
fig.set_size_inches(16, 9)
fig.savefig(filename + 'min_fig.png', dpi = 120)
plt.show()