I have a Dataset with personal data such as Date and Total Visits. I would build a graph with number of people visits in Particular Year or particular month. I'm using python pandas to accomplish this and my strategy but not able to get this.
CodePudding user response:
You can try following:
import pandas as pd
import datetime as dt
#Get Month end date
df['month_end'] = df['date'].apply(lambda x: pd.Period(x,freq='M').end_time.date().strftime('%Y-%m-%d'))
df_agg = df.groupby(['month_end'])['Total Visits'].sum().reset_index()
df_agg
will have visits aggregated by month end date.
Use following to create bar plot
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(rc={'figure.figsize':(11.7,8.27)})
# Set Seaborn style
sns.set_style('darkgrid')
# Construct plot
sns.barplot(x = "month_end", y = "Total Visits", data = df_agg)
plt.xticks(rotation=45)
plt.show()
CodePudding user response:
Make Columns for Month-year and Year, and use groupby