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

# In[1]:


from lets_plot import *
import pandas as pd

LetsPlot.setup_html()


# In[2]:


iris = pd.read_csv('https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/iris.csv')

p = ggplot(iris, aes(x='petal_length', fill='species')) + facet_wrap(facets='species', scales='free_x')


# In[3]:


gggrid([
    ggplot(iris, aes(x='petal_length', fill='species')) \
        + facet_wrap(facets='species', scales='free_x') \
        + geom_histogram(alpha=.5, bins=3, threshold=0, show_legend=False),
    ggplot(iris, aes(x='petal_length', fill='species')) \
        + facet_wrap(facets='species') \
        + geom_histogram(alpha=.5, bins=3, threshold=0, show_legend=False)
])


# In[4]:


ggplot(iris, aes(x='petal_length', fill='species')) \
    + facet_wrap(facets='species', scales='free_x') \
    + geom_histogram(alpha=.5, bins=4, threshold=0)


# In[5]:


p + geom_histogram(alpha=.5, bins=4, threshold=0)


# In[6]:


import numpy as np
np.random.seed(42)
x = np.random.poisson(size=100)

ggplot({'x': x}, aes(x='x')) + geom_histogram() + scale_y_log2()


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