bar.py

# read data from file
import csv
import numpy as np
import matplotlib.pyplot as plt

data_file = "arabian_sea200602.pix"

#rowValue = input("Enter the row value")
rowValue = 4

result = {}

with open(data_file,'r') as f:
    reader = csv.reader(f, delimiter=' ')

    for row in reader:
        if row[0] in result:
            temp = float(row[rowValue])
            result[row[0]].append(temp)
        else:
            result[row[0]] = [row[rowValue]]

# Get all the keys of the list and store it in a tuple

keys = list(result.keys())
keys.sort()

# calculate mean and stanard devaition for the data

resultMean = []
resultStd = []

for value in keys:
    temp = np.array(result[value], dtype="float")
    a = np.mean(temp) #mean for date
    b = np.std(temp) #std for date
    #value contains the date
    #use this 3 varaible to write to file
    resultMean.append(np.mean(temp))
    resultStd.append(np.std(temp))
#########
N = len(resultMean)
x = range(1, N + 1)
width = 1 / 1.5

plt.figure(1)
plt.title('Bar Graph')
plt.ylabel('total_AOD fine Mean', fontsize=12)
plt.xlabel('Date', fontsize=12)
plt.bar(x, resultMean, width, color="blue",yerr=resultStd)
plt.xticks(x, size="small")

# plt.show()
plt.

# draw histogram
plt.figure(2)
plt.title("Histograph")
plt.hist(resultMean, bins=N, color="green")
plt.show()