Created
June 6, 2020 07:57
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def add_day_month_year(df): | |
dates = df["Date"].map(lambda x: x[:10]) | |
df["day_of_month"] = dates.map(lambda x: x.split("/")[1]) | |
df["month"] = dates.map(lambda x: x.split("/")[0]) | |
df["year"] = dates.map(lambda x: x.split("/")[2]) | |
df["date"] = dates | |
return df | |
from pandas import read_csv | |
crimes_df = read_csv("CrimeData.csv") | |
crimes_df = add_day_month_year(crimes_df) | |
crimes_df = crimes_df[crimes_df.year <= 2019] | |
crimes_df = crimes_df[crimes_df["Primary Type"] == "BATTERY"] # "THEFT", ... | |
days_df = read_csv("DaysData.csv") | |
crimes_count_df = crimes_df \ | |
.groupby(["year"]) \ | |
.size() \ | |
.to_frame("crimes") \ | |
.reset_index() | |
print(crimes_count_df.to_string()) |
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