Regenerate boxplots
|
Before Width: | Height: | Size: 2.3 KiB After Width: | Height: | Size: 15 KiB |
|
Before Width: | Height: | Size: 24 KiB After Width: | Height: | Size: 20 KiB |
|
Before Width: | Height: | Size: 2.3 KiB After Width: | Height: | Size: 17 KiB |
|
Before Width: | Height: | Size: 2.3 KiB After Width: | Height: | Size: 18 KiB |
|
Before Width: | Height: | Size: 2.3 KiB After Width: | Height: | Size: 19 KiB |
|
Before Width: | Height: | Size: 2.3 KiB After Width: | Height: | Size: 18 KiB |
|
Before Width: | Height: | Size: 2.3 KiB After Width: | Height: | Size: 20 KiB |
|
Before Width: | Height: | Size: 2.3 KiB After Width: | Height: | Size: 21 KiB |
|
Before Width: | Height: | Size: 2.3 KiB After Width: | Height: | Size: 19 KiB |
@ -30,7 +30,7 @@ table_b = round((pd.DataFrame(table_b_info).set_index(dataset_daily.columns) / 1
|
|||||||
print(table_b)
|
print(table_b)
|
||||||
|
|
||||||
# Plotting hourly bytes histogram
|
# Plotting hourly bytes histogram
|
||||||
plt.hist(dataset_hourly['#bytes'] / 1000000000, bins=30)
|
plt.hist(dataset_hourly['#bytes'] / (1*10**9), bins=30)
|
||||||
plt.xlabel('GB/h')
|
plt.xlabel('GB/h')
|
||||||
plt.ylabel('Frequency')
|
plt.ylabel('Frequency')
|
||||||
plt.xticks(np.arange(1, 2.6, 0.1))
|
plt.xticks(np.arange(1, 2.6, 0.1))
|
||||||
@ -39,10 +39,9 @@ plt.title('Histogram of gigabytes per hour during one month')
|
|||||||
plt.show()
|
plt.show()
|
||||||
|
|
||||||
# Plotting daily bytes histogram
|
# Plotting daily bytes histogram
|
||||||
plt.hist(dataset_daily['# Bytes'] / 1000000000, bins=40)
|
plt.hist(dataset_daily['# Bytes'] / (1*10**9), bins=40)
|
||||||
plt.xlabel('GB/day')
|
plt.xlabel('GB/day')
|
||||||
plt.ylabel('Frequency')
|
plt.ylabel('Frequency')
|
||||||
plt.xticks(np.arange(0, 5.5, 0.2))
|
|
||||||
plt.grid()
|
plt.grid()
|
||||||
plt.title('Histogram of gigabytes per day during 10 years')
|
plt.title('Histogram of gigabytes per day during 10 years')
|
||||||
plt.show()
|
plt.show()
|
||||||
|
|||||||