# Simple Sounding#

Use MetPy as straightforward as possible to make a Skew-T LogP plot.

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

import metpy.calc as mpcalc
from metpy.cbook import get_test_data
from metpy.units import units
```
```# Change default to be better for skew-T
plt.rcParams['figure.figsize'] = (9, 9)
```
```# Upper air data can be obtained using the siphon package, but for this example we will use
# some of MetPy's sample data.

col_names = ['pressure', 'height', 'temperature', 'dewpoint', 'direction', 'speed']

skiprows=5, usecols=[0, 1, 2, 3, 6, 7], names=col_names)

# Drop any rows with all NaN values for T, Td, winds
df = df.dropna(subset=('temperature', 'dewpoint', 'direction', 'speed'
), how='all').reset_index(drop=True)
```

We will pull the data out of the example dataset into individual variables and assign units.

```p = df['pressure'].values * units.hPa
T = df['temperature'].values * units.degC
Td = df['dewpoint'].values * units.degC
wind_speed = df['speed'].values * units.knots
wind_dir = df['direction'].values * units.degrees
u, v = mpcalc.wind_components(wind_speed, wind_dir)
```
```skew = SkewT()

# Plot the data using normal plotting functions, in this case using
# log scaling in Y, as dictated by the typical meteorological plot
skew.plot(p, T, 'r')
skew.plot(p, Td, 'g')
skew.plot_barbs(p, u, v)

# Add the relevant special lines
skew.plot_mixing_lines()
skew.ax.set_ylim(1000, 100)

fig = plt.gcf()
``` Out:

```<matplotlib.image.FigureImage object at 0x7f82984e8310>
```
```# Example of defining your own vertical barb spacing
skew = SkewT()

# Plot the data using normal plotting functions, in this case using
# log scaling in Y, as dictated by the typical meteorological plot
skew.plot(p, T, 'r')
skew.plot(p, Td, 'g')

# Set spacing interval--Every 50 mb from 1000 to 100 mb
my_interval = np.arange(100, 1000, 50) * units('mbar')

# Get indexes of values closest to defined interval
ix = mpcalc.resample_nn_1d(p, my_interval)

# Plot only values nearest to defined interval values
skew.plot_barbs(p[ix], u[ix], v[ix])

# Add the relevant special lines
skew.plot_mixing_lines()
skew.ax.set_ylim(1000, 100) 