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Plot_Graph.py
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Plot_Graph.py
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import pandas as pd
import matplotlib.pyplot as plt
def data_2013():
i = 0
main_avg = []
for a in pd.read_csv('PM2.5/aqm2013.csv', chunksize=24):
add = 0
avg = 0.0
data = []
df = pd.DataFrame(data=a)
for index, row in df.iterrows():
data.append(row['PM2.5'])
for pm in data:
if type(pm) is long or type(pm) is float or type(pm) is int:
var = pm
add = add + var
elif type(pm) is str:
if pm != 'NoData' and pm != 'PwrFail':
var = float(pm)
add = add + var
avg = add/24
i += 1
# if avg == 0.0:
# print "No Data", i
# else:
# print round(avg,2),i
main_avg.append(avg)
# new1 = pd.DataFrame(main_avg)
# new1.columns = ['2013']
return main_avg
def data_2014():
i = 0
main_avg = []
for a in pd.read_csv('PM2.5/aqm2014.csv', chunksize=24):
add = 0
avg = 0.0
data = []
df = pd.DataFrame(data=a)
for index, row in df.iterrows():
data.append(row['PM2.5'])
for pm in data:
if type(pm) is long or type(pm) is float or type(pm) is int:
var = pm
add = add + var
elif type(pm) is str:
if pm != 'NoData' and pm != 'PwrFail':
var = float(pm)
add = add + var
avg = add/24
i += 1
# if avg == 0.0:
# print "No Data", i
# else:
# print round(avg,2),i
main_avg.append(avg)
# new2 = pd.DataFrame(main_avg)
# new2.columns = ['2014']
return main_avg
def data_2015():
i = 0
main_avg = []
for a in pd.read_csv('PM2.5/aqm2015.csv', chunksize=24):
add = 0
avg = 0.0
data = []
df = pd.DataFrame(data=a)
for index, row in df.iterrows():
data.append(row['PM2.5'])
for pm in data:
if type(pm) is long or type(pm) is float or type(pm) is int:
var = pm
add = add + var
elif type(pm) is str:
if pm != 'NoData' and pm != '---' and pm != 'InVld' and pm != 'PwrFail':
var = float(pm)
add = add + var
avg = add/24
i += 1
# if avg == 0.0:
# print "No Data", i
# else:
# print round(avg,2),i
main_avg.append(avg)
# new3 = pd.DataFrame(main_avg)
# new3.columns = ['2015']
return main_avg
def data_2016():
i = 0
main_avg = []
for a in pd.read_csv('PM2.5/aqm2016.csv', chunksize=24):
add = 0
avg = 0.0
data = []
df = pd.DataFrame(data=a)
for index, row in df.iterrows():
data.append(row['PM2.5'])
for pm in data:
if type(pm) is long or type(pm) is float or type(pm) is int:
var = pm
add = add + var
elif type(pm) is str:
if pm != 'NoData' and pm != '---' and pm != 'InVld' and pm != 'PwrFail':
var = float(pm)
add = add + var
avg = add/24
i += 1
# if avg == 0.0:
# print "No Data", i
# else:
# print round(avg,2),i
main_avg.append(avg)
# new3 = pd.DataFrame(main_avg)
# new3.columns = ['2015']
return main_avg
if __name__ == "__main__":
a = []
b = []
a = data_2013()
b = data_2014()
c = data_2015()
d = data_2016()
plt.plot(xrange(0, 365), a, label='2013')
plt.plot(xrange(0, 364), b, label='2014')
plt.plot(xrange(0, 365), c, label='2015')
plt.plot(xrange(0, 31), d, label='2016')
plt.xlabel('Day')
plt.ylabel('PM 2.5')
plt.legend(loc='upper right')
plt.show()