How to show overlap points in scatter plot

📊 Plotly Python
8

One more thing I would like to get in there is error bars.

Like here

index

import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib import rcParams
import pandas as pd
import numpy as np
import math

sns.set(style="white")

df = pd.read_csv('/Users/Jakob/Documents/python_notebooks/data/tips.csv')

#calculate standard error of the mean

std = df['total_bill'].std()
mean = df['total_bill'].mean()
count = df['total_bill'].count()
sem = std/math.sqrt(count)


#define sd and sem
mean = tips.groupby('day').total_bill.mean()
sem = tips.groupby('day').total_bill.std() / np.sqrt(tips.groupby('day').total_bill.count())
plt.errorbar(range(len(mean)), mean, yerr=sem, capsize=5, color='black', alpha=0.8,
             linewidth=2, linestyle='', marker='o')

#sns.barplot(x="day", y="total_bill", data=tips, capsize=0.1, ci="sd",
            #errwidth=1, linewidth=5, palette = 'Blues', alpha=0.3)
sns.swarmplot(x="day", y="total_bill", data=tips, color="black", alpha=1, palette='rainbow', zorder=1)
#sns.pointplot(x='day', y='total_bill', data=tips, #ci=95, linestyles='None',
              #color="grey", capsize=0.1, errwidth=1.5, opacity=0.1, estimator=np.mean)


sns.despine(left=True, bottom=True)
rcParams['figure.figsize'] = 10,8
plt.show()
print(sem)
print(count)

Do you also have a suggestion for that perhaps @Alexboiboi?