import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
%matplotlib inline

austin_weather = pd.read_csv('../data/austin_weather.csv')
seattle_weather = pd.read_csv('../data/seattle_weather.csv')

austin_weather.head()

	DATE	STATION	NAME	MLY-CLDD-BASE45	MLY-CLDD-BASE50	MLY-CLDD-BASE55	MLY-CLDD-BASE57	MLY-CLDD-BASE60	MLY-CLDD-BASE70	MLY-CLDD-BASE72	...	MLY-TMIN-AVGNDS-LSTH070	MLY-TMIN-NORMAL	MLY-TMIN-PRBOCC-LSTH016	MLY-TMIN-PRBOCC-LSTH020	MLY-TMIN-PRBOCC-LSTH024	MLY-TMIN-PRBOCC-LSTH028	MLY-TMIN-PRBOCC-LSTH032	MLY-TMIN-PRBOCC-LSTH036	MLY-TMIN-STDDEV	MONTH
0	1	USW00013904	AUSTIN BERGSTROM INTERNATIONAL AIRPORT, TX US	190	103	50	35	18	1	-7777	...	310	36.3	298	570	839	967	997	1000	2.9	Jan
1	2	USW00013904	AUSTIN BERGSTROM INTERNATIONAL AIRPORT, TX US	228	132	68	49	29	3	1	...	280	39.4	103	327	614	867	973	999	3.2	Feb
2	3	USW00013904	AUSTIN BERGSTROM INTERNATIONAL AIRPORT, TX US	446	306	185	146	98	13	6	...	308	46.6	10	73	242	494	761	928	3.6	Mar
3	4	USW00013904	AUSTIN BERGSTROM INTERNATIONAL AIRPORT, TX US	668	519	373	318	240	53	32	...	287	54.7	0	0	0	48	189	453	4.1	Apr
4	5	USW00013904	AUSTIN BERGSTROM INTERNATIONAL AIRPORT, TX US	936	781	626	564	471	181	134	...	250	63.7	0	0	0	0	0	0	2.5	May

5 rows × 68 columns

seattle_weather.head()

	DATE	STATION	NAME	MLY-CLDD-BASE45	MLY-CLDD-BASE50	MLY-CLDD-BASE55	MLY-CLDD-BASE57	MLY-CLDD-BASE60	MLY-CLDD-BASE70	MLY-CLDD-BASE72	...	MLY-TMIN-AVGNDS-LSTH070	MLY-TMIN-NORMAL	MLY-TMIN-PRBOCC-LSTH016	MLY-TMIN-PRBOCC-LSTH020	MLY-TMIN-PRBOCC-LSTH024	MLY-TMIN-PRBOCC-LSTH028	MLY-TMIN-PRBOCC-LSTH032	MLY-TMIN-PRBOCC-LSTH036	MLY-TMIN-STDDEV	MONTH
0	1	USW00094290	SEATTLE SAND PT WSFO, WA US	27.0	3.0	-7777.0	-7777.0	0.0	0.0	0.0	...	310.0	37.0	64.0	129.0	317.0	709.0	959.0	1000.0	2.3	Jan
1	2	USW00094290	SEATTLE SAND PT WSFO, WA US	31.0	3.0	-7777.0	-7777.0	0.0	0.0	0.0	...	280.0	36.9	15.0	76.0	273.0	616.0	917.0	1000.0	2.6	Feb
2	3	USW00094290	SEATTLE SAND PT WSFO, WA US	81.0	16.0	2.0	-7777.0	-7777.0	0.0	0.0	...	310.0	39.3	0.0	20.0	41.0	152.0	670.0	986.0	1.8	Mar
3	4	USW00094290	SEATTLE SAND PT WSFO, WA US	169.0	58.0	12.0	6.0	1.0	0.0	0.0	...	300.0	42.5	0.0	0.0	0.0	0.0	114.0	711.0	1.5	Apr
4	5	USW00094290	SEATTLE SAND PT WSFO, WA US	343.0	193.0	78.0	49.0	21.0	-7777.0	-7777.0	...	310.0	47.8	0.0	0.0	0.0	0.0	0.0	58.0	1.9	May

5 rows × 81 columns

Weather Patterns in Seattle and Austin

plt.style.use('ggplot')
fig, ax = plt.subplots(figsize=(14,6))

# Plot MLY-PRCP-NORMAL from seattle_weather against the MONTH
ax.plot(seattle_weather["MONTH"], seattle_weather['MLY-PRCP-NORMAL'], c='blue', marker='o', linestyle='dashdot')

# Plot MLY-PRCP-NORMAL from austin_weather against MONTH
ax.plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-NORMAL'], c='red', marker='v', linestyle='--')

ax.set_xlabel('Time (months)')
ax.set_ylabel('Precipitation (inches)')
ax.set_title('Weather patterns in Seattle and Austin')

plt.show()

Monthly Precipitation and Temperature in Seattle and Austin

fig,ax=plt.subplots(2,2, sharey=True, figsize=(15,4))
ax[0,0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-NORMAL'])
ax[0,1].plot(seattle_weather['MONTH'], seattle_weather['MLY-TAVG-NORMAL'])
ax[1,0].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-NORMAL'])
ax[1,1].plot(austin_weather['MONTH'], austin_weather['MLY-TAVG-NORMAL'])
plt.show()

Precipitation data in Seattle and Austin

# Create a figure and an array of axes: 2 rows, 1 column with shared y axis
fig, ax = plt.subplots(2, 1, sharey=True)

# Plot Seattle precipitation data in the top axes
ax[0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-NORMAL'], color = 'b')
ax[0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-25PCTL'], color = 'b', linestyle = '--')
ax[0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-75PCTL'], color = 'b', linestyle = '--')

# Plot Austin precipitation data in the bottom axes
ax[1].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-NORMAL'], color = 'r')
ax[1].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-25PCTL'], color = 'r', linestyle = '--')
ax[1].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-75PCTL'], color = 'r', linestyle = '--')

plt.show()

Adding error-bars

plt.style.use('seaborn')
fig, ax = plt.subplots(figsize=(14,6))
ax.errorbar(seattle_weather['MONTH'], seattle_weather['MLY-TAVG-NORMAL'],yerr=seattle_weather['MLY-TAVG-STDDEV'])
ax.errorbar(austin_weather['MONTH'], austin_weather['MLY-TAVG-NORMAL'],yerr=austin_weather['MLY-TAVG-STDDEV']) 
ax.set_ylabel('Temperature (Fahrenheit)')
plt.show()