In [4]:

import pandas as pd
# from google.cloud import bigquery
import seaborn as sns
# client = bigquery.Client.from_service_account_json(r'C:\Users\lmeji\OneDrive\Github\Python\BigQuery\fleet-parser-330316-d0e1b6cf4fd1.json')

log_weighins = pd.read_excel(r'C:\Users\lmeji\OneDrive\Documents\Tableau\Files for Tableau\Luis - Log.xlsx',sheet_name='WeighIns')
%matplotlib inline

In [5]:

try:
    sns_df = sns.load_dataset('tips') #this is using a builtin dataset called "tips"BytesWarning
    sns.displot(sns_df[['total_bill']], kde=True, bins=30)
except Exception as e:
    print(e)

In [6]:

sns.jointplot(x='total_bill',y='tip',data=sns_df,kind='reg') #kind='hex','reg','scatter','kde'

Out[6]:

<seaborn.axisgrid.JointGrid at 0x1c5ccf5fe10>

In [7]:

sns.pairplot(sns_df,hue='sex') # palette='pink'

Out[7]:

<seaborn.axisgrid.PairGrid at 0x1c5ccf97590>

In [8]:

sns.rugplot(sns_df['total_bill'])

Out[8]:

<AxesSubplot: xlabel='total_bill'>

Categorical Plots¶

In [14]:

sns.boxplot(x='day',y='total_bill',data=sns_df,hue='smoker')

Out[14]:

<AxesSubplot: xlabel='day', ylabel='total_bill'>

In [13]:

print(sns_df.head(10))
sns.countplot(x='sex',data=sns_df,hue='smoker')

   total_bill   tip     sex smoker  day    time  size
0       16.99  1.01  Female     No  Sun  Dinner     2
1       10.34  1.66    Male     No  Sun  Dinner     3
2       21.01  3.50    Male     No  Sun  Dinner     3
3       23.68  3.31    Male     No  Sun  Dinner     2
4       24.59  3.61  Female     No  Sun  Dinner     4
5       25.29  4.71    Male     No  Sun  Dinner     4
6        8.77  2.00    Male     No  Sun  Dinner     2
7       26.88  3.12    Male     No  Sun  Dinner     4
8       15.04  1.96    Male     No  Sun  Dinner     2
9       14.78  3.23    Male     No  Sun  Dinner     2

Out[13]:

<AxesSubplot: xlabel='sex', ylabel='count'>

In [22]:

sns.violinplot(x='day',y='total_bill',data=sns_df,hue='sex',split=True)

Out[22]:

<AxesSubplot: xlabel='day', ylabel='total_bill'>