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Tiny House Experiments Tech School - Revision history
2026-07-02T09:03:10Z
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EdmondLascaris: Created page with "= Tiny House 8 = <syntaxhighlight lang="python"> import dweepy import pandas as pd import plotly.express as px url = dweepy.get_latest_dweet_for('MPPS-Tiny-House-8-bundoora') print(url) dict = url[0] voltage = dict['content'][('bat')] print(f'The battery voltage is {voltage}') internalTemp = dict['content'][('intTemp')] print(f'The internal temperature is {internalTemp}') internalHumid = dict['content'][('intHumid')] print(f'The internal humidity is {internalHumid}'..."
2024-02-27T04:42:00Z
<p>Created page with "= Tiny House 8 = <syntaxhighlight lang="python"> import dweepy import pandas as pd import plotly.express as px url = dweepy.get_latest_dweet_for('MPPS-Tiny-House-8-bundoora') print(url) dict = url[0] voltage = dict['content'][('bat')] print(f'The battery voltage is {voltage}') internalTemp = dict['content'][('intTemp')] print(f'The internal temperature is {internalTemp}') internalHumid = dict['content'][('intHumid')] print(f'The internal humidity is {internalHumid}'..."</p>
<p><b>New page</b></p><div>= Tiny House 8 =<br />
<br />
<syntaxhighlight lang="python"><br />
import dweepy<br />
import pandas as pd<br />
import plotly.express as px<br />
<br />
url = dweepy.get_latest_dweet_for('MPPS-Tiny-House-8-bundoora')<br />
print(url)<br />
<br />
dict = url[0]<br />
voltage = dict['content'][('bat')]<br />
print(f'The battery voltage is {voltage}')<br />
<br />
internalTemp = dict['content'][('intTemp')]<br />
print(f'The internal temperature is {internalTemp}')<br />
<br />
internalHumid = dict['content'][('intHumid')]<br />
print(f'The internal humidity is {internalHumid}')<br />
<br />
externalTemp = dict['content'][('extTemp')]<br />
print(f'The outside temperature is {externalTemp}')<br />
<br />
datetime = dict['content'][('date')]<br />
<br />
# Saving data<br />
data = str(datetime) + "," + str(internalTemp) + "," + str(internalHumid) + "," + \<br />
str(externalTemp) + "," + str(voltage) + "\n"<br />
print(f'The data is = {data}')<br />
<br />
f = open('/home/pi/Tiny_House_8/tiny_house_8_data.txt','a')<br />
f.write(data)<br />
f.close()<br />
print("The data has been saved")<br />
<br />
<br />
<br />
<br />
# Step 2: Read the data from the text file into a Pandas DataFrame<br />
data = pd.read_csv('/home/pi/Tiny_House_8/tiny_house_8_data.txt')<br />
<br />
# Step 3: Create a Plotly figure with two scatter plots<br />
fig = px.scatter(data, x='datetime', y=['intTemp', 'extTemp'],<br />
labels={'datetime': 'Date and Time', 'value': 'Temperature (°C)'},<br />
title='Tiny House No Insulation - #8')<br />
<br />
# Step 4: Customize the plot layout<br />
fig.update_layout(xaxis_title='Date and Time', yaxis_title='Temperature (°C)')<br />
<br />
# Step 5: Save the plot as an HTML file<br />
fig.write_html('/home/pi/Tiny_House_8/temperature_plot_tiny_house_8.html')<br />
<br />
print("Temperature plot saved as temperature_plot.html")<br />
<br />
</syntaxhighlight><br />
<br />
<br />
= Tiny House 10 =<br />
<br />
<syntaxhighlight lang="python"><br />
import dweepy<br />
import pandas as pd<br />
import plotly.express as px<br />
#https://github.com/paddycarey/dweepy - Reference<br />
<br />
url = dweepy.get_latest_dweet_for('SMC-Tiny-House-10-bundoora')<br />
print(url)<br />
<br />
dict = url[0]<br />
voltage = dict['content'][('bat')]<br />
print(f'The battery voltage is {voltage}')<br />
<br />
internalTemp = dict['content'][('intTemp')]<br />
print(f'The internal temperature is {internalTemp}')<br />
<br />
internalHumid = dict['content'][('intHumid')]<br />
print(f'The internal humidity is {internalHumid}')<br />
<br />
externalTemp = dict['content'][('extTemp')]<br />
print(f'The outside temperature is {externalTemp}')<br />
<br />
datetime = dict['content'][('date')]<br />
<br />
# Saving data<br />
data = str(datetime) + "," + str(internalTemp) + "," + str(internalHumid) + "," + \<br />
str(externalTemp) + "," + str(voltage) + "\n"<br />
print(f'The data is = {data}')<br />
<br />
f = open('/home/pi/Tiny_House_10/tiny_house_10_data.txt','a')<br />
f.write(data)<br />
f.close()<br />
print("The data has been saved")<br />
<br />
<br />
<br />
<br />
<br />
# Step 2: Read the data from the text file into a Pandas DataFrame<br />
data = pd.read_csv('/home/pi/Tiny_House_10/tiny_house_10_data.txt')<br />
<br />
# Step 3: Create a Plotly figure with two scatter plots<br />
fig = px.scatter(data, x='datetime', y=['intTemp', 'extTemp'],<br />
labels={'datetime': 'Date and Time', 'value': 'Temperature (°C)'},<br />
title='Tiny House with Insulation - #10')<br />
<br />
# Step 4: Customize the plot layout<br />
fig.update_layout(xaxis_title='Date and Time', yaxis_title='Temperature (°C)')<br />
<br />
# Step 5: Save the plot as an HTML file<br />
fig.write_html('/home/pi/Tiny_House_10/temperature_plot_tiny_house_10.html')<br />
<br />
print("Temperature 10 plot saved as temperature_plot.html")<br />
<br />
</syntaxhighlight></div>
EdmondLascaris