DalyaG

#include <iostream>
using namespace std;

void change_val(int &z);

int main() {
    int a = 1;
    int *b = &a;
    cout << "b points to an alias of the integer a\n";
    cout << "a=" << a << ", b=" << b << ", *b=" << *b << endl;

DalyaG

#include <iostream>
using namespace std;

int main() {
    int a = 1;
    int b = a;
    cout << "b gets the value that is inside a\n";
    cout << "a=" << a << ", b=" << b << endl; 
    // prints: a=1, b=1
  

DalyaG

// Hello World
/* By Dalya G */
#include <iostream>
using namespace std;
int main()
{
    cout << "Hello World" << endl;
}

DalyaG

ax = df_grouped_color.plot.bar(stacked=True, color=['brown', 'black'])
ax.set_xticklabels(labels=df_grouped_color.index, rotation=70, rotation_mode="anchor", ha="right")
ax.set_xlabel('')
ax.set_ylabel('n_pets');

DalyaG

df['has_black'] = df['color'].str.contains("black")
df_grouped_color = (df.groupby(['weekday_num', 'weekday_name'])
                    ['has_black']
                    .value_counts()
                    .unstack()
                    .reset_index(level=0, drop=True))
df_grouped_color

DalyaG

import matplotlib.pyplot as plt

df_sample_grouped = df_sample.groupby(['birthday']).size()
n_unique_dates = len(df_sample_grouped.index.unique())

fig = plt.figure(figsize=(n_unique_dates/5, n_unique_dates/10))

ax = df_sample_grouped.plot.bar(x="birthday", y="n_pets", color='blue')
ax.set_xticklabels(labels=df_sample_grouped.index, rotation=70, rotation_mode="anchor", ha="right");
ax.legend(labels=['n_pets']);

DalyaG

n_sample = 50
df_sample = df.sample(n=n_sample)
df_sample['birthday'] = (df_sample['date_of_birth']
                         .dt
                         .strftime('%m-%d'))
df_sample_grouped = (df_sample
                     .groupby(['birthday'])
                     .size()
                     .reset_index(name="n_pets"))
df_sample_grouped.plot.bar(x="birthday", y="n_pets", color='blue');

DalyaG

df_grouped.plot.bar(x="weekday_name", y="n_pets", color='blue');

DalyaG

df['weekday_num'] = pd.DatetimeIndex(df['date_of_birth']).weekday
df['weekday_name'] = pd.DatetimeIndex(df['date_of_birth']).weekday_name
df_grouped = (df.groupby(['weekday_num', 'weekday_name'])
                .size()
                .reset_index(name="n_pets"))
df_grouped

DalyaG

import pandas as pd

filename = "aac_shelter_cat_outcome_eng.csv"
df = pd.read_csv(filename, 
                 usecols=['name', 'date_of_birth', 'color'],
                 parse_dates=['date_of_birth'])
df.head()