#!/usr/bin/env python
# coding: utf-8

# # Annotated Barchart
# 
# Use the `labels` parameter to create an annotated Barchart.
# 
# 

# In[1]:


import pandas as pd

from lets_plot import *


# In[2]:


LetsPlot.setup_html()


# In[3]:


mpg_df = pd.read_csv ("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv")
mpg_df.head(4)


# #### Configure Layer Labels Using API Similar to the Tooltip Configuration API

# In[4]:


gggrid([
    ggplot(mpg_df) + geom_bar(aes("trans"),
                              labels=layer_labels().line('@..count..')),
    ggplot(mpg_df) + geom_bar(aes("trans", y="..n.."), stat="sum", size=0,
                              labels=layer_labels().line('@..proppct..')) + coord_flip()
], widths=[1, 1.2])    


# #### Stacked Bars

# In[5]:


ggplot(mpg_df, aes('class', fill='drv')) + \
    geom_bar(labels=layer_labels().line('@..proppct..').format('..proppct..', '{d} %')) + \
    ggsize(700, 400)


# In[6]:


ggplot(mpg_df, aes('class', fill='drv')) + \
    geom_bar(labels=layer_labels().line('@..proppct..').format('..proppct..', '{d} %'), 
             position='fill') + \
    coord_flip() + \
    ggsize(700, 400)


# #### Narrow Bars
# Too thin for labels to fit in. 

# In[7]:


ggplot(mpg_df, aes('class', fill='drv')) + \
    geom_bar(labels=layer_labels().line('@..proppct..').format('..proppct..', '{d} %'),
             position='dodge') + \
    ggsize(700, 400)