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boxplot.py
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boxplot.py
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import matplotlib.pyplot as plt
import pandas as pd
import datetime
import numpy as np
df = pd.read_csv("graph_tester.csv")
cold = pd.read_excel("cold.xlsx")
warm = pd.read_excel("warm.xlsx")
high_co2 = pd.read_excel("high_co2.xlsx")
low_co2 = pd.read_excel("low_co2.xlsx")
orig_db = pd.read_csv("basic_weekly.csv")
print(orig_db)
co2_or_temp = int(input("1 for High CO2, 2 for Warm, 3 for Low CO2, 4 for Cold"))
temp_df = pd.DataFrame()
if co2_or_temp == 1:
temp_df = high_co2
elif co2_or_temp == 2:
temp_df = warm
elif co2_or_temp == 3:
temp_df = low_co2
else:
temp_df = cold
plt.figure()
temp_df = temp_df.set_index("Room #").drop("Outside Air", errors='ignore')
temp_df = temp_df.drop("Field House NW", errors='ignore')
temp_df = temp_df.drop("Field House NE", errors='ignore')
temp_df = temp_df.drop("Field House SW", errors='ignore')
temp_df = temp_df.drop("Field House SE", errors='ignore')
# TODO: Should we drop Field House numbers?
temp_factor = temp_df.head()
print(temp_factor)
temp_factor = temp_factor.T
i_df_list = []
room_num_list = []
for i in temp_factor:
i_df = orig_db.set_index("Room #").T[i]
if co2_or_temp % 2 == 0:
i_df_list.append(i_df.T['Temperature'])
else:
i_df_list.append(i_df.T['CO2'])
room_num_list.append(i)
print(i_df_list)
ax = plt.axes()
if co2_or_temp == 1:
ax.set_title("CO2 in 5 rooms w/ highest CO2")
elif co2_or_temp == 2:
ax.set_title("Temperature in warmest 5 rooms")
elif co2_or_temp == 3:
ax.set_title("CO2 in 5 rooms w/ lowest CO2")
else:
ax.set_title("Temperature in coldest 5 rooms")
room_num_list.reverse()
i_df_list.reverse()
print(room_num_list)
ax.set_yticklabels(room_num_list)
plt.boxplot(i_df_list, vert=False)
plt.show()
#try:
#orig_db = orig_db[orig_db["Room #"] == room_number]
#print(orig_db)
#print(orig_db["Timestamp"])
#orig_db = orig_db.reset_index()
#first_time = orig_db["Timestamp"][0]
#orig_db["Edited Timestamp"] = orig_db["Timestamp"].apply(lambda x: int((datetime.datetime.strptime(x, "%Y-%m-%d %H:%M:%S")).timestamp()))
#print(first_time)
#print("This is running")
#plt.figure()
#if co2_or_temp == 1:
#plt.boxplot(orig_db["CO2"])
#else:
#plt.boxplot(orig_db["Temperature"])
#plt.show()
#except IndexError:
#print("Your room is not in the list, sorry")