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+--- Thread: Add space between plots (/thread-18392.html)
Add space between plots - AdWill97 - May-15-2019
Hello I am plotting 4 different plots in pandas. 3 of which have the same x axis scale, the last one being different. when i run the code and it shows the plots they all come out the way they should except for that the x axis of the 3rd plot should be visible but is not because it is being printed too close to the 4th one. the image below will give a better idea.
To use this image as an example my plots are only showing the x axis values Jan, Jul etc. on the last plot but the 3 graphs above it are temperature.
i need enough space between the 3rd and 4th plots so that i can see the x axis values on the 3rd one to represent the first 3. Any help appreciated.
my code is below:
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('C:\Adam Internship\CT_TESTS\CoolingTowerTest1CSV.csv')
df = df.drop([0,1,2,3]) ## droppping the first 4 rows as they are empty
new_header = df.iloc[0] ## grabbing row 0
df = df[1:] ## take the data less the header row
df.columns = new_header ## set header row as the df header
df = df.reset_index() # reseting the index
df = df.drop(columns=['index']) # dropping row that appeared?
df['Time'] = pd.to_datetime(df.Time) # Converts Time to a pandas date time
df['Time'] = pd.Series([val.time() for val in df['Time']]) # Ensures the time is plotted without the date
df['\\\PXI-PC\KWKK\PXI-PC\KWKK_sv\OC_HC_B_T_M__FL'] = df.rename(columns = {'\\\PXI-PC\KWKK\PXI-PC\KWKK_sv\OC_HC_B_T_M__FL':'fl_temp'}, inplace=True)
df['\\\PXI-PC\KWKK\PXI-PC\KWKK_sv\AUX_HC_A_T_M__'] = df.rename(columns = {'\\\PXI-PC\KWKK\PXI-PC\KWKK_sv\AUX_HC_A_T_M__':'amb_temp'}, inplace=True)
df['\\\PXI-PC\KWKK\PXI-PC\KWKK_sv\OC_HC_B_PSET_O__'] = df.rename(columns = {'\\\PXI-PC\KWKK\PXI-PC\KWKK_sv\OC_HC_B_PSET_O__':'voltage'}, inplace=True)
#Above is renaming the variables i need to use to make it easier to plot. a backslash is added as python sees it as escape otherwise
df['fl_temp'] = df['fl_temp'].astype('float64') # converting feed line temp to a float
df['amb_temp'] = df['amb_temp'].astype('float64') # converting ambient temp to float
df['voltage'] = df['voltage'].astype('float64')
fig = plt.figure()
ax1 = fig.add_subplot(411)
# =============================================================================
ax2 = fig.add_subplot(412)
ax3 = fig.add_subplot(413)
ax4 = fig.add_subplot(414)
# =============================================================================
ax1.plot(df['Time'], df['fl_temp']) #,df['Time'], df['amb_temp'])
ax1.plot(df['Time'], df['amb_temp'])
plt.gcf().autofmt_xdate()
ax1.yaxis.set_label_position("left")
plt.xlabel('Time')
ax1.set_ylabel('Temp')
ax1v = ax1.twinx()
ax1v.plot(df['Time'], df['voltage'], color = 'r')
ax1v.set_ylabel('Voltage')
plt.grid(True)
ax2.plot(df['Time'], df['fl_temp']) #,df['Time'], df['amb_temp'])
ax2.plot(df['Time'], df['amb_temp'])
plt.gcf().autofmt_xdate()
plt.xlabel('Time')
ax2.set_ylabel('Temp')
ax2v = ax2.twinx()
ax2v.plot(df['Time'], df['voltage'], color = 'r')
ax2v.set_ylabel('Voltage')
plt.grid(True)
ax3.plot(df['Time'], df['fl_temp']) #,df['Time'], df['amb_temp'])
ax3.plot(df['Time'], df['amb_temp'])
plt.gcf().autofmt_xdate()
plt.xlabel('Time')
ax3.set_ylabel('Temp')
ax3v = ax3.twinx()
ax3v.plot(df['Time'], df['voltage'], color = 'r')
ax3v.set_ylabel('Voltage')
plt.grid(True)
ax4.plot(df['amb_temp'], df['voltage']) #,df['Time'], df['amb_temp'])
plt.gcf().autofmt_xdate()
plt.xlabel('Abient Temp.')
ax4.set_ylabel('Voltage')
plt.grid(True)