Overview + Test Blog Entry Creation¶

Intro¶

Just testing the creation of a blog post. La de da.

This is mostly pulled from a Seaborn tutorial on categorical data stuffs.

Some Inital Stuff¶

In [1]:

%matplotlib inline

In [2]:

import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt

In [3]:

import seaborn as sns
sns.set(style="whitegrid", color_codes=True)

In [4]:

titanic = sns.load_dataset("titanic")
tips = sns.load_dataset("tips")
iris = sns.load_dataset("iris")

Dataframes, printing¶

In [5]:

iris.head(7)

Out[5]:

	sepal_length	sepal_width	petal_length	petal_width	species
0	5.1	3.5	1.4	0.2	setosa
1	4.9	3.0	1.4	0.2	setosa
2	4.7	3.2	1.3	0.2	setosa
3	4.6	3.1	1.5	0.2	setosa
4	5.0	3.6	1.4	0.2	setosa
5	5.4	3.9	1.7	0.4	setosa
6	4.6	3.4	1.4	0.3	setosa

In [6]:

print('**'.join(['What', 'does', 'printing', 'looklike', '?']))

What**does**printing**looklike**?

Plotting Stuff¶

Breakdown of survival rates by gender, cabin, in plot form:

In [7]:

fig, ax = plt.subplots(figsize=(12,6))
sns.barplot(ax=ax, x="sex", y="survived", hue="class", data=titanic);

Equations and such¶

In [8]:

from IPython.display import display, Math, Latex

In [9]:

display(Math(r'F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx'))

$$F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx$$

In [10]:

%%latex
\begin{align}
\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\
\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\
\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\
\nabla \cdot \vec{\mathbf{B}} & = 0
\end{align}

\begin{align} \nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\ \nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\ \nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\ \nabla \cdot \vec{\mathbf{B}} & = 0 \end{align}

immersinn-ds