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September 7, 2020 15:52
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Creating Histogram
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group_station = df.groupby('STATION')['ENTRY_EXIT'].sum().sort_values(ascending=False) | |
fig1 = plt.figure(figsize=[8,6]) | |
ax1 = sns.distplot(group_station,bins=50,kde=False) | |
plt.xlim([0,410000]) | |
plt.ylabel('No. of Stations',fontsize=15, weight='bold') | |
plt.xlabel('Total Traffic', fontsize=15, weight='bold') | |
ax1.annotate('Top 10 Stations', xy=(0.73, 0.08), xytext=(0.73, 0.12), xycoords='axes fraction', | |
fontsize=12, ha='center', va='bottom', | |
arrowprops=dict(arrowstyle='-[, widthB=9.0, lengthB=1', lw=1.0),color='blue') | |
plt.title('Distribution of Traffic Across Stations',fontsize=15,weight='bold') | |
sns.despine() |
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